Final Program

Sponsored by the SIAM Activity Group on Computational Science and Engineering (CSE)

The SIAM Activity Group on CS&E fosters collaboration and interaction among applied mathematicians, computer scientists, domain scientists and engineers in those areas of research related to the theory, development, and use of computational technologies for the solution of important problems in science and engineering. The activity group promotes computational science and engineering as an academic discipline and promotes simulation as a mode of scientific discovery on the same level as theory and experiment. The activity group organizes this conference and maintains a wiki, a membership directory, and an electronic mailing list.

SIAM 2015 Events Mobile App Scan the QR code with any QR reader and download the TripBuilder EventMobile™ app to your iPhone, iPad, iTouch or Android mobile device. You can also visit www.tripbuilder. com/siam2015events

Society for Industrial and Applied Mathematics 3600 Market Street, 6th Floor Philadelphia, PA 19104-2688 USA Telephone: +1-215-382-9800 Fax: +1-215-386-7999 Conference E-mail: [email protected] Conference Web: www.siam.org/meetings/ Membership and Customer Service: (800) 447-7426 (US & Canada) or +1-215-382-9800 (worldwide) www.siam.org/meetings/cse15 2 2015 SIAM Conference on Computational Science and Engineering

Table of Contents Mary Ann Leung Corporate Members Sustainable Horizons, USA and Affiliates General Information...... 2 Anders Logg SIAM corporate members provide their Chalmers University of Technology, Sweden employees with knowledge about, access to, Celebrating 15 Years of SIAM CSE...... 5 and contacts in the applied mathematics and Prize Award Ceremony...... 5 Susan Minkoff computational sciences community through University of Texas, Dallas, USA Conference Sponsors...... 3 their membership benefits. Corporate mem- Invited Plenary Presentations...... 8 Patrick O’Leary bership is more than just a bundle of tangible Kitware, USA products and services; it is an expression of Symposium on Materials ...... 10 support for SIAM and its programs. SIAM Minitutorials...... 11 Luke Olson is pleased to acknowledge its corporate University of Illinois at Urbana-Champaign, Featured Minisymposia...... 12 members and sponsors. In recognition of USA their support, non-member attendees who Panels...... 14 Steve Parker are employed by the following organizations Career Fair...... 16 NVIDIA, USA are entitled to the SIAM member registration Professional Development Evening..... 17 rate. Linda Petzold Student Days...... 19 University of California, Santa Barbara, Corporate Institutional Members Workshop Celebrating Diversity...... 21 USA The Aerospace Corporation AWM Workshop...... 21 Han-Wei Shen Air Force Office of Scientific Research Mentoring Program...... 23 Ohio State University, USA Aramco Services Company Program Schedule...... 25 AT&T Laboratories - Research Feng Xiao Bechtel Marine Propulsion Laboratory Sunday Poster Session...... 80 Tokyo Institute of Technology, Japan The Boeing Company AWM Poster Session...... 85 Irad Yavneh CEA/DAM Monday Poster Session...... 111 Technion, Israel Department of National Defence (DND/ CSEC) Speaker and Organizer Index...... 181 DSTO- Defence Science and Technology Conference Budget.... Inside Back Cover SIAM Registration Desk Organisation Salt Palace Meeting Room Floor Plan..... The SIAM registration desk is located in the ExxonMobil Upstream Research ...... Back Cover East Foyer of the The Calvin L. Rampton Hewlett-Packard Salt Palace Convention Center. Registration IBM Corporation hours are: IDA Center for Communications Research, La Jolla Organizing Committee Friday, 1:00 PM - 5:00 PM IDA Center for Communications Research, Saturday, 7:15 AM - 5:00 PM Co-Chairs Princeton Sunday, 7:30 AM - 5:00 PM Institute for Computational and Experimental Hans De Sterck Monday, 7:30 AM - 5:00 PM Research in Mathematics (ICERM) University of Waterloo, Canada Institute for Defense Analyses, Center for Tuesday, 7:45 AM - 5:00 PM Computing Sciences Chris Johnson Wednesday, 7:45 AM - 2:30 PM University of Utah, USA Lawrence Berkeley National Laboratory Lockheed Martin Lois Curfman McInnes Convention Center Address Los Alamos National Laboratory Argonne National Laboratory, USA Mathematical Sciences Research Institute The Calvin L. Rampton Salt Palace Max-Planck-Institute for Dynamics of Convention Center Complex Technical Systems Organizing Committee 100 SW Temple Mentor Graphics Evrim Acar Salt Lake City, UT 84101 USA National Institute of Standards and University of Copenhagen, Denmark Phone: +1(385) 468-2222 Technology (NIST) National Security Agency (DIRNSA) Tom Bartol Oak Ridge National Laboratory, managed by Salk Institute, USA Child Care UT-Battelle for the Department of Energy Sandia National Laboratories Pavel Bochev To find local child care options in Salt Lake Sandia National Laboratories, USA Schlumberger-Doll Research City, please use Tech X Corporation https://careaboutchildcare.utah.gov/parent/ Hank Childs U.S. Army Corps of Engineers, Engineer search.aspx, using the area code 84101, or Lawrence Berkeley National Laboratory and Research and Development Center https://www.guardianangelbaby.com/ University of Oregon, USA United States Department of Energy home-frame.htm to find reputable child care Vincent Heuveline services. Heidelberg University, Germany *List current January 2015 2015 SIAM Conference on Computational Science and Engineering 3

Funding Agencies Leading the applied Standard Audio/Visual SIAM and the conference organizing commit- mathematics community . . . Set-Up in Meeting Rooms Join SIAM and save! tee wish to extend their thanks and apprecia- SIAM does not provide computers for any tion to the U.S. National Science Foundation SIAM members save up to $130 on full speaker. When giving an electronic presenta- and the Department of Energy for their sup- registration for the 2015 SIAM Conference on tion, speakers must provide their own comput- port of this conference. Computational Science and Engineering! Join ers. SIAM is not responsible for the safety and your peers in supporting the premier profes- security of speakers’ computers. sional society for applied mathematicians and computational scientists. SIAM members The Plenary Session Room will have two (2) receive subscriptions to SIAM Review, SIAM screens, one (1) data projector and one (1) News, and Unwrapped, and enjoy substantial overhead projector. Cables or adaptors for discounts on SIAM books, journal subscrip- Apple computers are not supplied, as they tions, and conference registrations. vary for each model. Please bring your own cable/adaptor if using a Mac computer. If you are not a SIAM member and paid the Non-Member or Non-Member All other concurrent/breakout rooms will Mini Speaker/Organizer rate to attend the con- have one (1) screen and one (1) data projec- ference, you can apply the difference between tor. Cables or adaptors for Apple computers what you paid and what a member would are not supplied, as they vary for each model. have paid ($130 for a Non-Member and $65 Please bring your own cable/adaptor if using for a Non-Member Mini Speaker/Organizer) a Mac computer. Overhead projectors will be Special Themes: towards a SIAM membership. Contact SIAM provided for any presenter that ordered one • CSE software Customer Service for details or join at the in advance as requested in the acceptance • Big data analytics conference registration desk. notification.

Additional Themes: If you are a SIAM member, it only costs $10 If you have questions regarding availability to join the SIAM Activity Group on the Com- • Physics-compatible numerical methods of equipment in the meeting room of your putational Science and Engineering (SIAG/ presentation, please see a SIAM staff member • High-accuracy numerical methods CSE). As a SIAG/CSE member, you are at the registration desk. • Compressed sensing and sparse eligible for an additional $10 discount on this representation conference, so if you paid the SIAM member • Multiphysics, multiscale, and multilevel rate to attend the conference, you might be E-mail Access methods eligible for a free SIAG/CSE membership. A limited number of e-mail stations are avail- • Reduced-order modeling Check at the registration desk. able in Room 255 during registration hours. • Visual data analysis Wireless email access is available throughout Free Student Memberships are available to the Salt Palace for all conference attendees. • Multi-modal methods and data fusion students who attend an institution that is an • Biomedical computing Academic Member of SIAM, are members of • Computational neuroscience Student Chapters of SIAM, or are nominated Registration Fee Includes • Verification, validation, and uncertainty by a Regular Member of SIAM. • Admission to all technical sessions quantification • Business Meeting (open to SIAG/CSE members) • Extreme-scale and hardware-aware Join onsite at the registration desk, go to www. algorithms siam.org/joinsiam to join online or download • Coffee breaks daily an application form, or contact SIAM Cus- • Modeling and computing complex flows • Poster Session and Dessert Reception tomer Service • Room set-ups and audio/visual • Computational statistics Telephone: +1-215-382-9800 (worldwide); or equipment • CSE education 800-447-7426 (U.S. and Canada only) Fax: +1-215-386-7999 • Welcome Reception (held at the Hilton Of special note at CSE15: E-mail: [email protected] Hotel) • Increased emphasis on poster sessions, Postal mail: Society for Industrial and Applied In addition, the following events are available including demos, thematic groups of Mathematics, 3600 Market Street, 6th floor, to attendees at no additional cost. The events posters, and new poster prizes Philadelphia, PA 19104-2688 USA are subsidized by SIAM and are not covered by the registration fees. • 15th Anniversary celebration of SIAM- CSE conferences • Career Fair • Champagne Toast at the Welcome Reception • Professional Development Evening 4 2015 SIAM Conference on Computational Science and Engineering

Job Postings Table Top Displays Social Media Please check with the SIAM registration EDP Sciences SIAM is promoting the use of social media, desk regarding the availability of job such as Facebook and Twitter, in order to Intel postings or visit http://jobs.siam.org. enhance scientific discussion at its meetings IOS Press and enable attendees to connect with each PIC Math other prior to, during and after conferences. If you are tweeting about a conference, please Important Notice Princeton University Press to Poster Presenters use the designated hashtag to enable other SIAM attendees to follow the conversation and Poster presenters may set-up their posters Springer to allow better archiving of our conference between 3:00-5:00 PM on Saturday, March discussions. The hashtag for this conference is 14. Posters should be set up by 8:00 AM The Berkeley MFE #SIAMCSE15. on Sunday, March 15, 2015. Presenters are expected to stand by their posters during their assigned session. Posters should remain Name Badges on display through 6:30 PM on Monday, SIAM 2015 Events Mobile App A space for emergency contact information March 16, 2015 (two full days). Posters must Scan the QR code with any QR reader and is provided on the back of your name be removed between 6:30 PM on Monday, download the TripBuilder EventMobile™ app badge. Help us help you in the event of an and 12:30 PM on Tuesday. Unclaimed to your iPhone, iPad, iTouch or emergency! posters will be discarded. Android mobile device. You can also visit www.tripbuilder.com/siam2015events Comments? SIAM Books and Journals Comments about SIAM meetings are Display copies of books and complimentary encouraged! Please send to: Cynthia Phillips, copies of journals are available on site. SIAM SIAM Vice President for Programs (vpp@ books are available at a discounted price siam.org). during the conference. The books table will close at 1:00 PM on Wednesday, March 1. Get-togethers • Welcome Reception The SIAM 2015 Events Mobile “Communication Doctors”: Friday, March 13, 6:00-8:00 PM ® Get your Research Hilton Salt Lake City Center App Powered by TripBuilder Communication Ready 255 South West Temple To enhance your conference experience, for the Press Salt Lake City, UT 84101 we’re providing a state-of-the-art mobile • Poster Session & Reception app to give you important conference Have a significant research project that you Sunday, March 15, 4:30-6:30 PM information right at your fingertips. With absolutely love, but begin to see people’s eyes glaze over every time you start to talk • Poster Session & Reception this TripBuilder EventMobile™ app, you about it? Visit the “Communication Doctors” Monday, March 16, 4:30-6:30 PM can: at CSE15! During two sessions (held concurrently with the poster sessions) the • Create your own custom schedule “Communication Doctors”— representing Please Note • View Sessions, Speakers, Exhibitors mathematicians, science communicators and SIAM is not responsible for the safety and more educators—will help make your research and security of attendees’ computers. Do • Take notes and export them to your story media ready and public friendly. Do not leave your personal electronic devices email you have a scientific question, project or unattended. Please remember to turn off your • View Award-Winning TripBuilder visual that you want to turn into a good cell phones and other devices during sessions. Recommendations story? Bring an elevator pitch, 1-3 minutes for the meeting location long, or a summary or visual of your research work, and the “doctors” will use • Get instant Alerts about important a variety of skills to break it down for the Recording of Presentations conference info lay public and media. You will also have Audio and video recording of presentations a chance to meet and interact with science at SIAM meetings is prohibited without writer Flora Lichtman, whose work has the written permission of the presenter and appeared in the New York Times, NPR’s SIAM. Science Friday, and Popular Science, among other outlets and publications. Visit the “Communication Doctors” in Room 255 during the poster sessions between 4:30 and 6:30 PM on Sunday, March 15 or Monday, March 16. 2015 SIAM Conference on Computational Science and Engineering 5

Celebrating 15 Years of SIAM CSE On Saturday, March 14 at 8:30 AM, join Linda R. Petzold as she examines the growth of CSE in SIAM and looks toward some of the challenges and opportunities for the future. Prize Award Ceremony On Tuesday, March 17, 9:00-9:30 AM the prize award ceremony will take place. The following prizes will be acknowledged and announced: SIAM/ACM Prize in Computational Science and Engineering, CSE15 Poster Prizes and the Computational Engineering (BGCE) Student Paper Prizes.

Poster Blitzes and Plenary Poster Sessions including Minisymposteria New this year are two plenary poster sessions featuring Minisymposteria. Minisymposteria are collections of three or more posters by different presenters grouped around a central theme.

Poster sessions will take place in Room 255 on Sunday, March 15, 4:30-6:30 PM and Monday, March 16, 4:30-6:30 PM. Both sessions include Minisymposteria and general posters grouped by category. Poster Blitzes will precede each poster session at 3:40 PM in Room 355.

To ensure conference participants have ample time to view posters, presenters are requested to keep their posters on display for two full days, from 8:00 AM Sunday, March 15 through 6:30 PM Monday, March 16. Presenters are expected to stand by their posters during their assigned session.

Food and beverage will be provided and posters will be reviewed for poster prizes! These sessions provide a great opportunity to network and are a great prelude to dinner in downtown Salt Lake City! 6 2015 SIAM Conference on Computational Science and Engineering 2015 SIAM Conference on Computational Science and Engineering 7

Welcome Reception

To Our Student Careers Panel Conference Sponsors, Thank You! Gold sponsor

Gold sponsor

Academic sponsor

General sponsor 8 2015 SIAM Conference on Computational Science and Engineering

Invited Plenary Speakers

** All Invited Plenary Presentations will take place in the Salt Palace Convention Center – Room 355, Level 3**

Saturday, March 14 9:00 AM - 9:45 AM IP1 Graph Data Analytics at Scale: Opportunities and Challenges Nagiza Samatova, North Carolina State University and Oak Ridge National Laboratory, USA

1:30 PM - 2:15 PM IP2 Model Reduction - Trouble with Scales? Wolfgang Dahmen, RWTH Aachen, Germany

Sunday, March 15 8:15 AM - 9:00 AM IP3 Petascale Finite Element Simulation of Real World’s Complex Structure with Billions DOFs Model Shinobu Yoshimura, University of Tokyo, Japan

11:20 AM - 12:05 PM IP4 Extreme-scale Multigrid in Space and Time Robert Falgout, Lawrence Livermore National Laboratory, USA 2015 SIAM Conference on Computational Science and Engineering 9

Invited Plenary Speakers

** All Invited Plenary Presentations will take place in the Salt Palace Convention Center – Room 355, Level 3**

Monday, March 16 8:15 AM - 9:00 AM IP5 Statistical and Computational Challenges of Constraining Greenhouse Gas Budgets Anna Michalak, Carnegie Institution for Science and Stanford University, USA

11:20 AM - 12:05 PM IP6 Scaling Open Systems for Future Computational Challenges Will Schroeder, Kitware, Inc., USA

Tuesday, March 17 8:15 AM - 9:00 AM IP7 A Calculus for the Optimal Quantification of Uncertainties Houman Owhadi, California Institute of Technology, USA

11:50 AM - 12:35 PM IP8 The Power of Matrix and Tensor Decompositions in Smart Patient Monitoring Sabine Van Huffel, Katholieke Universiteit Leuven, Belgium

Wednesday, March 18 8:15 AM - 9:00 AM IP9 Implications of Numerical and Data Intensive Technology Trends on Scientific Visualization and Analysis James Ahrens, Los Alamos National Laboratory, USA 10 2015 SIAM Conference on Computational Science and Engineering

Symposium

Saturday, March 14

NSF-SIAM Symposium on Mathematical and Computational Aspects of Materials Science Part I (MS14): 10:15-11:55 AM Part II (MS40): 2:25-4:05 PM Part III (MS65): 4:35-6:15 PM Room: 251 E The materials science community has embarked on various large-scale computational projects. We mention the materials genome project---a broad survey of thousands of materials---and several deep-mining projects of a few selected materials. These projects offer interesting opportunities for mathematical and computational scientists to advance the state of the art in materials research by developing mathematical models, computational algorithms, and tools for data analysis. The Divi- sion of Materials Research (DMR) and Division of Mathematical Sciences (DMS) of the National Science Foundation are encouraging collaborations of mathematicians and materials scientists through several mechanisms (MSII, DMREF, etc.). The speakers in this symposium will highlight opportunities for joint research projects. Organizer: Hans G. Kaper, Argonne National Laboratory and Georgetown University, USA Speakers: MS14 Kaushik Bhattacharya, California Institute of Technology, USA Carme Calderer, University of Minnesota, USA George Crabtree, Argonne National Laboratory, USA Marta Lewicka, University of Pittsburgh, USA MS40 Robert V. Kohn, Courant Institute of Mathematical Sciences, New York University, USA Monica Olvera De La Cruz, Northwestern University, USA Michael Falk, Johns Hopkins University, USA Long-qing Chen, Pennsylvania State University, USA MS65 Richard James, University of Minnesota, USA Sadasivan Shankar, Harvard University, USA Michael S. Vogelius, Rutgers University, New Brunswick, USA Mary Galvin-Donoghue, National Science Foundation, USA 2015 SIAM Conference on Computational Science and Engineering 11

Minitutorials

Sunday, March 15

Minitutorial: Python Visual Analytics for Big Data Part I: 9:10 AM - 10:50 AM Part II: 1:30 PM - 3:10 PM Room: 355 Python is a powerful development, computational, and programming environment due to the wide variety of libraries developed for it, and importantly, the enthusiastic, active development and user community. One of the areas where Python excels is visualization and analysis of big data, due to several high-quality modules for both simple and advanced visual analytics. This tutorial will cover the following big-data visualization capabilities in Python: interactive plotting with IPy- thon, matplotlib, and databases, building web visualizations with Bokeh, and Python integration with VTK and ParaView. Additional information will be provided on mapreduce and NoSQL capabilities. This tutorial is intended for intermediate- level participants who have a basic understanding of the Python language and development environment (i.e., the student ought to have an understanding of native (and ideally numpy) data structures, file I/O, and is able to develop and run simple programs). Beginner participants are welcome, but Python fundamentals, such as language constructs, “hello world,” and program execution will not be covered in this tutorial. Organizer: Jonathan Woodring, Los Alamos National Laboratory, USA Speakers: Joseph Cottam, Indiana University, USA Jonathan Woodring, Los Alamos National Laboratory, USA Andy R. Terrel, Continuum Analytics, USA Patrick O’Leary, Kitware, Inc., USA

Tuesday, March 17

Minitutorial: Lab Skills for Scientific Computing Part I: 2:15 PM - 3:55 PM Part II: 4:25 PM - 6:05 PM Room: 355 The Software Carpentry project (http://software-carpentry.org) has been teaching basic computing skills to scientists and engineers since 1998. This minitutorial will introduce the tools and techniques that have proven most useful, and show how integrating them can help researchers get more done in less time, and with less pain. This two-part minitutorial will introduce several widely-used practices in software development, explore the empirical evidence showing their benefits (or in some cases the lack thereof), and describe how researchers and research teams can adopt them. Some of the work will be hands-on, so participants are strongly urged to bring a laptop. Warning: real-world examples may be used. Organizer and speaker: Greg Wilson, Mozilla Foundation, USA 12 2015 SIAM Conference on Computational Science and Engineering

Featured Minisymposia

Saturday, March 14

MS27 Featured Minisymposium: Fast Multipole Methods Maturing at 30 Years 2:25 PM - 4:05 PM Room: 355 In the last five years or so, research on fast multipole methods has been buzzing and it seems that finally this “top-10” algorithm may be reaching its potential. The mathematicians have always continued making progress and improvements, but lately we see many developments in the computer science aspects of implementing the algorithm with high performance, and the applications arena. This featured minisymposium will present leaders in the field discussing the most resent advances and giving perspectives for the future. It will complement several regular minisymposia being presented at the conference.

Organizer: Lorena A. Barba, George Washington University, USA Speakers: Lorena A. Barba, George Washington University, USA George Biros, University of Texas at Austin, USA Richard Vuduc, Georgia Institute of Technology, USA Lexing Ying, Stanford University, USA

MS52 Featured Minisymposium: Modeling and Computing Complex Flows 4:35 PM - 6:15 PM Room: 355 Computation of unsteady multifluid flows is one of the more challenging problems in computational science. Nevertheless, considerable progress has been made in the development of numerical methods to follow the convoluted motion of complex interfaces separating different fluid phases, for a broad range of governing parameters. These successes are making it possible to pursue even more advanced problems, including additional physics and even large range of scales, as well as making it urgent to develop sophisticated models that take advance of the new data. In this minisymposium we will explore the state of the art and discuss future challenges.

Organizer: Gretar Tryggvason, University of Notre Dame, USA Speakers: Gretar Tryggvason, University of Notre Dame, USA Marianne M. Francois, Los Alamos National Laboratory, USA Marcus Herrmann, Arizona State University, USA Olivier Desjardins, Cornell University, USA

Sunday, March 15

MS104 Featured Minisymposium: Distributed Methods for Optimization 1:30 PM - 3:10 PM Room: 355 A Recent advances in data collection, collaborative filtering, and wireless technology have lead to an unprecedented growth in demand for distributed optimization problems with huge data sets. The resulting optimization problems are characterized by distributed and uncertain information, necessitating computations to be done in a non-traditional environment, with imperfect information, over a communication network, and most importantly without a central entity that has an access to the whole information. This minisymposium focuses on most recent optimization techniques dealing with large data sets and distributed components over possibly uncertain networks.

Organizer: Wotao Yin, University of California, Los Angeles, USA Speakers: Angelia Nedich and Alexander Olshevsky, University of Illinois at Urbana-Champaign, USA Wotao Yin, University of California, Los Angeles, USA Ermin Wei, Massachusetts Institute of Technology, USA Mengdi Wang, Princeton University, USA 2015 SIAM Conference on Computational Science and Engineering 13

Featured Minisymposia

Monday, March 16

MS156 Featured Minisymposium: Physics-compatible Numerical Methods 1:30 PM - 3:10 PM Room: 355 Recent advances in data collection, collaborative filtering, and wireless technology have lead to an unprecedented growth in demand Physics-compatible numerical methods are methods that aim to preserve key mathematical and physical properties of continuum physics models in their finite-dimensional algebraic representations. They include methods which preserve properties such as energy, monotonicity, maximum principles, symmetries, and involutions of the continuum models. Examples are mimetic methods for spatial discretizations, variational and geometric integrators, conservative finite-volume and finite- element methods, etc. Research on physics-compatible numerical methods is rapidly becoming a major research thrust across multiple disciplines within the broader area of computational science and engineering. Our principal goal in arranging this minisymosium is to give samples of this flourishing field.

Organizer: Mikhail Shashkov, Los Alamos National Laboratory, USA Speakers: Mikhail Shashkov, Los Alamos National Laboratory, USA Jim E. Morel, Texas A&M University, USA Allen C. Robinson, Sandia National Laboratories, USA Andrew J. Barlow, Atomic Weapons Establishment, United Kingdom

Tuesday, March 17

MS182 Featured Minisymposium: CSE Software 10:00 AM - 11:40 AM Room: 355 A This featured minisymposium reflects recent progress with tools and techniques for developing, adapting, using, and testing CSE software. The first talk addresses an eco system of computational tools for increased efficiency and reliability of scientific workflows. The next talk presents a software framework in C++, MOOSE, which simplifies building advanced multiphysics models. Another talk explains how domain specific languages for PDEs in Python allow automatic generation of adjoint models in C++ with high performance. Finally, the recent Julia language is presented, which combines the expressiveness and convenience of MATLAB/Python with the speed of Fortran/C.

Organizer: Hans Petter Langtangen, Simula Research Laboratory and University of Oslo, Norway Speakers: Derek R. Gaston, Idaho National Laboratory, USA Patrick E. Farrell, University of Oxford, United Kingdom Stephan Karpinski, Massachusetts Institute of Technology, USA Fernando Perez, University of California, Berkeley, USA

Wednesday, March 18

MS255 Featured Minisymposium: Big Data Analytics 10:55 AM - 12:35 PM Room: 355 Big data analytics has become a new paradigm for decision making and knowledge discovery. This minisymposium highlights four major topics, urban, graph, biomedical, and scientific data analytics in this area. Urban data analytics harvest the vast amount of data collected from smart devices and networks to improve the life of citizens. Graphs are used to model relationships between entities and hence play a central role in big data analytics. Biomedical data analytics use data-driven approaches to enable discovery and find new medical cures. Scientific data analytics assists scientists to extract knowledge from simulations aiming to solve grand challenge problems.

Organizer: Han-Wei Shen, The Ohio State University, USA Speakers: Claudio T. Silva, New York University, USA Miriah Meyer, University of Utah, USA Peterka Tom, Argonne National Laboratory, USA Han-Wei Shen, The Ohio State University, USA 14 2015 SIAM Conference on Computational Science and Engineering

Panels

Saturday, March 14

12:15 PM - 1:30 PM Student Careers Panel Sponsored by KAUST Room: 355 D The panelists will present an overview of careers in CSE in Academia, Industry and National Laboratories. The session will begin with brief presentations by the panelists, followed by an open discussion and question period with students in the audience. Lunch will be provided. Attendance is limited to current undergraduate and graduate students. Advance sign up is requested during the registration process. If you did not register, but wish to attend, please see a SIAM staff member at the Registration Desk. Organizers: Evrim Acar, University of Copenhagen, Denmark William G. Kolata, SIAM, USA Patrick O’Leary, Kitware, Inc., USA Panelists: Tom Grandine, The Boeing Company, USA David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia Cynthia Phillips, Sandia National Laboratories, USA Jeffrey Saltzman, AstraZeneca, USA

Sunday, March 15

Ask The Program Manager: Funding 12:15 PM - 1:30 PM Room:355 D Program managers from government agencies receive many requests for research funding. What are they really seeking? What makes a research proposal stand out? How can you build a research program that is attractive to these agencies? How can you conduct your research to make the biggest impact and increase your chances of future funding? What opportunities are presently available? We address all these questions and more as a part of this panel discussion. Organizers: Hank Childs, Lawrence Berkeley National Laboratory and University of Oregon, USA Vincent Heuveline, Heidelberg University, Germany Panelists: To Be Announced

Monday, March 16

The Future of CSE as a Discipline 12:15 PM - 1:30 PM Room:355 D Over the past two decades Computational Science and Engineering (CSE) has penetrated the academy, with prominent roles in advancing research and providing interdisciplinary education. However, a combination of disruptive developments -- including extreme-scale computing, big data, and a significant diversification of the applications of CSE in science, technology, and society -- is redefining the scope and reach of CSE. This forward-looking panel will explore the future of CSE in a broad academic context. What new “grand challenges” may drive progress in CSE? How can CSE shape the future of new application fields such as computational medicine and biology, computational geoscience, and materials science? Are there opportunities to extend CSE to new areas such as social network analysis, cybersecurity and the social sciences, with mathematics-based large-scale computing rapidly becoming of crucial importance in almost all areas of society? Is the CSE paradigm and focus sufficiently unique and significanto t warrant separate programs, graduate degrees, academic departments, and funding streams?

Organizer: David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia

Panelists: Lorena A. Barba, George Washington University, USA Wolfgang Marquardt, RWTH Aachen University, Germany J. Tinsley Oden, University of Texas at Austin, USA Padma Raghavan, Pennsylvania State University, USA Ed Seidel, University of Illinois at Urbana-Champaign, USA 2015 SIAM Conference on Computational Science and Engineering 15

Panels

Tuesday, March 17

Data Science: What is It and How to Teach It 12:45 PM - 2:15 PM Room:355 A Recently, the term Big Data has become ubiquitous. People who can wrangle Big Data are called Data Scientists. According to a number of sources, there is a growing need for people trained as Data Scientists. But what is Data Science? Is Data Science its own field or is it an interdisciplinary mix of Computer Science, Mathematics and Statistics, and Domain Knowledge or perhaps it is really what Statisticians have been doing all along? Since data science at scale involves large-scale computation, what is the relation between data science and computational science in research and education? This panel features leaders in Data Science and Computational Science to discuss the current and future status of Data Science, its relationship to Computational Science, opportunities for Data and Compu- tational Scientists and educating future Data Scientists. Organizers: Christopher Johnson, University of Utah, USA Jeff Phillips, University of Utah, USA Panelists: To Be Announced

Thinking of Writing a Book? 12:45 PM - 2:15 PM Room:355 D

Ever thought about writing a book? Ever wondered just what that entails? This session brings together successful authors and publishing staff to discuss the process. Topics of interest will include: • Why and when you should consider writing a book • A step-by-step description of the process, from initial idea to published book • How to choose a publisher • The author/publisher relationship – who does what • Pitfalls to avoid • Tips from successful authors Even if you aren’t currently thinking of becoming an author, this session promises to be lively and engaging!

Organizer: Nicholas J. Higham, University of Manchester, United Kingdom

Panelists: Daniela Calvetti, Case Western Reserve University, USA Eldad Haber, University of British Columbia, Canada Ralph C. Smith, North Carolina State University, USA Elizabeth Greenspan, SIAM, USA David Marshall, SIAM, USA 16 2015 SIAM Conference on Computational Science and Engineering

Career Fair: Alternatives to Academia

Saturday, March 14

Session 1 10:15-11:55 AM Session 2 2:25-4:05 PM Session 3 4:35-6:05 PM Room: 255

The career fair will feature representatives from nonacademic employers from industry and government. These representatives will be prepared to discuss with you the opportunities for internships, postdoctoral appointments and full-time jobs at their organizations.

The career fair will feature one morning and two afternoon sessions during which you will have the opportunity to speak with the representatives of the participating organizations. In addition to these sessions, there will be Student Careers Panel over lunch and Professional Development sessions and reception in the evening.

SIAM is pleased to share the list of organizations that will participate. This list is current at time of printing. The most up to date list of participants can be found at http://www.siam.org/meetings/cse15/career.php.

• Argonne National Laboratory • Boeing • Hewlett-Packard Laboratories • Kitware • Lawrence Berkeley National Laboratory • Lawrence Livermore National Laboratory • MathWorks • MIT Lincoln Laboratory • National Institute of Standards & Technology • NSA • NVIDIA • Oak Ridge National Laboratory • Quantlab 2015 SIAM Conference on Computational Science and Engineering 17

Professional Development Evening

Saturday, March 14

Interdisciplinary Research: Challenges and Opportunities 6:30 -9:30 PM Room: 355D

6:30 PM - 7:30 PM Getting Started with Interdisciplinary Research

Join us for an evening devoted to developing and sustaining a successful interdisciplinary research program. Several professionals from academia, government, and industry will share their perspective on challenges and rewards of an interdisciplinary research, training opportunities for students and early career researchers, how to identify open problems and find common language with colleagues in a different field and funding opportunities among other topics.

The target audience for this event includes early career professionals (i.e., less than five years past last degree), postdocs, and students. However, we are also encouraging participation from the senior professional community during the networking session.

Organizers: Maria Emelianenko, George Mason University, USA Cammey Cole Manning, Meredith College, USA Sven Leyffer, Argonne National Laboratory, USA

Panelists: Richard Braun, University of Delaware, USA Thomas A. Grandine, The Boeing Company, USA C.T. Kelley, North Carolina State University, USA Carol S. Woodward, Lawrence Livermore National Laboratory, USA

7:30 PM - 8:30 PM Networking Reception

8:30 PM - 9:30 PM Interdisciplinary Research: Sustaining a Successful Program

Organizers: Maria Emelianenko, George Mason University, USA Cammey Cole Manning, Meredith College, USA Sven Leyffer, Argonne National Laboratory, USA

Panelists: Fariba Fahroo, Air Force Office of Scientific Research, USA Omar Ghattas, University of Texas at Austin, USA Jeffrey A. Hittinger, Lawrence Livermore National Laboratory, USA Wil Schilders, Eindhoven University of Technology, Netherlands 18 2015 SIAM Conference on Computational Science and Engineering 2015 SIAM Conference on Computational Science and Engineering 19

Student Days

Organized by the SIAM Education Committee, Chaired by Rachel Levy, Harvey Mudd College

This annual event is being held at CSE15 because there is no 2015 Annual Meeting. Student Days are for students and about students. Organizers have arranged for activities and sessions where students can meet with both peers and professionals in their field, participate in a career fair, attend an information session on hot areas for jobs and research, and network with SIAM Student Chapters from all over the world.

Goals Organized by the SIAM Education Committee (Chaired by Rachel Levy, Harvey Mudd College), Student Days are designed to encourage student participation in SIAM, help students learn more about applied mathematics and computational science as both fields of study and as careers, and provide a forum for emerging mathematicians to learn about their field from professionals. Organizers also hope to encourage those in the learning community to establish new student chapters of SIAM and to promote interaction between students and SIAM leadership.

Events and Happenings Activities that will enhance the meeting for students include a special orientation prior to Friday’s Welcome Reception, a career panel and full day career fair featuring non-academic employers on Saturday, professional development sessions and reception Saturday evening, presentations by student chapter representatives on Sunday, a student lounge, sessions on Undergraduate Research on Monday, poster blitz and posters sessions on Monday and Tuesday, and a session for students with selected conference invited speakers on Tuesday.

Student Days Schedule and Other Activities of Interest to Students FRIDAY, MARCH 13 5:00 PM - 6:00 PM Student Orientation (Hilton Hotel) 6:00 PM - 8:00 PM Welcome Reception (Hilton Hotel)

SATURDAY, MARCH 14 8:15 AM - 8:30 AM Opening remarks 8:30 AM - 9:00 AM Celebrating 15 years of SIAG/CSE 10:15 AM - 11:55 AM Career Fair 12:15 PM - 1:30 PM PD1 Student Careers Panel lunch 2:25 PM - 4:05 PM Career Fair 4:35 PM - 6:15 PM Career Fair 6:30 PM - 7:30 PM Professional Development session: Getting Started with Interdisciplinary Research 7:30 PM - 8:30 PM Professional Development reception 8:30 PM - 9:30 PM Professional Development session: Interdisciplinary Research: Sustaining a Successful Program

SUNDAY, MARCH 15 7:00 AM - 8:00 AM Student Chapter meeting with SIAM Leadership (by invitation only) 9:30 AM - 4:30 PM Visit the student lounge in Room 255 9:10 AM - 10:50 PM MS94 Student Days: SIAM Student Chapter Presentations - Part I of II 1:30 PM - 3:10 PM MS119 Student Days: SIAM Student Chapter Presentations - Part II of II 3:10 PM - 4:30 PM Poster Blitz 4:30 PM - 6:30 PM Poster Session

MONDAY, MARCH 16 9:10 AM - 10:50 AM MS146 Student Days: Undergraduate Sessions - Part I of II 9:30 AM - 4:30 PM Visit the student lounge in Room 255 1:30 PM - 3:10 PM MS172 Student Days: Undergraduate Sessions - Part II of II 3:10 PM - 4:30 PM Poster Blitz 4:30 PM - 6:30 PM Poster Session

TUESDAY, MARCH 17 10:00 AM - 11:40 AM MS198 Student Days: Combining Disciplines, Techniques, Faculty and Students to Tackle Protein Folding 4:25 PM - 6:05 PM MS247 Student Days: An Informal Meeting with invited speakers 20 2015 SIAM Conference on Computational Science and Engineering 2015 SIAM Conference on Computational Science and Engineering 21

Workshop Celebrating Diversity Organizers: Raegan Higgins, Texas Tech University, USA Susan E. Minkoff, University of Texas at Dallas, USA Stephen A. Wirkus, Massachusetts Institute of Technology, USA

This annual event is being held at CSE15 this year because there is no 2015 Annual Meeting. The Workshop provides a chance for students to listen to technical talks presented by minority graduate students. The workshop is intended to accomplish several goals:

To send a clear, explicit message of enthusiastic welcome and support from SIAM to members of underrepresented groups. The workshop is deliberately held as part of a regular SIAM meeting so that the participants can combine the experiences of attending a regular scientific meeting and a special occasion dedicated to them.

To bring together a mixture of people from different levels of age and professional experience, ranging from under graduate students to senior scientists.

To provide an opportunity for minority graduate students to present their research.

To provide an informal, comfortable setting (a lunch) where all the students can meet applied and computational mathematicians with a wide variety of jobs in academia, national laboratories, industry, and government.

SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation for its support of the Workshop Celebrating Diversity.

Workshop Celebrating Diversity Sessions

MS86 Computational Advances in Energy Research MS113 Fluid Transport Dynamics in Biology and Medicine MS140 Modern Computational Modeling in Fluids MS166 Computational Science for Current Multidisciplinary Research Problems MS192 The System Dynamics of Social and Health Processes using Quantitative Data Sciences Methods MS216 Water Resources Management: How to Add it All Up

Association for Women in Mathematics (AWM) Workshop

The Workshop for Women Graduate Students and Recent P.h.D.’s. Please visit http://www.awm-math.org/workshops.html for more information.

AWM Sessions MS13 Career Development: Celebrating Firsts - Lessons from Trailblazers, First Ones, and Only Ones MS39 Career Development: Celebrating Firsts - Panel and Roundtable MS89 Research Talks by Recent Ph.D’s: Mathematical Modeling and High-Performance Computing for Multiscale and Multiphysics Problems - Part I of II MS114 Research Talks by Recent Ph.D.s: Mathematical Modeling and High-performance Computing for Multi-physics and Multi-scale Problems. Part II of II PP8 AWM Poster Session (Sunday) 22 2015 SIAM Conference on Computational Science and Engineering 2015 SIAM Conference on Computational Science and Engineering 23

Mentoring Program

SIAM CSE15 - Broader Engagement Pilot Mentoring Program The Society of Industrial and Applied Mathematics (SIAM) and Sustainable Horizons Institute are pleased to announce a pilot mentoring program at the 2015 SIAM Conference on Computational Science and Engineering (CSE15). CSE15 is planning a variety of activities to celebrate and support a diverse community. These activities include the Workshop Celebrating Diversity, Professional Development Evening, Association of Women in Mathematics activities, Student Days, Student Careers Panel, and Job Fair. In addition, there will be a mentoring program for a small cohort of CSE15 students, faculty, and professionals.

Mentor Protégé Program at CSE15 There is irrefutable and growing evidence that mentoring promotes academic and career success, especially among those traditionally underrepresented in CSE. Our vision for the Mentor Protégé program is to influence career and professional development long after the conference concludes.

The CSE15 Mentor Protégé program includes the following components: • A limited number of Protégés will be recruited from the Workshop Celebrating Diversity and other conference attendees. • Mentors will be recruited from CSE15 attendees and others known to be active in the SIAM and Broader Engagement (BE) communities. • A brief welcome and orientation for Protégés will occur on Friday, March 13, 2015 (Hilton Hotel, Room: Canyon A/B). • An initial mentor-protégé introduction/mixer will occur Saturday March 14, 2015 (Salt Palace Convention Center, Room 255). • A mentoring activity will occur during the Workshop Celebrating Diversity luncheon on Tuesday, March 17, 2015.

Benefits • Protégés will benefit from the opportunity to connect with seasoned professionals, get advice, and explore their questions about academic, career, and professional pathways. • Mentors will benefit from the opportunity to give back to the community, influence others, and discover and share their own techniques and aspirations.

Mentor Protégé Matching Process and Responsibilities Mentors and Protégés will be matched utilizing demographic and other information about scientific, professional, and personal interests. Mentor- Protégé pair introductions will occur electronically prior to the conference and in-person during the first event on Saturday.

Mentors and Protégé responsibilities include participation in the introduction event on Saturday and the luncheon activity on Tuesday. Optional additional activities will be suggested, such as mentors’ agenda review and session recommendations for their protégés to consider, joint attendance, one-on-one meetings, and continued contact after the conference.

Mentor Protégé Tuesday Lunch Activity The Workshop Celebrating Diversity luncheon will provide an excellent opportunity to formally discuss mentoring, suggest activities, and help to establish meaningful mentoring relationships. The luncheon will include a mentoring workshop based on the “Pathways to Success” Workshop: exploring challenges and identifying resources to help people create a vision of success for themselves. If you have any questions about the Mentoring Program, contact: Mary Ann Leung, [email protected]. 24 2015 SIAM Conference on Computational Science and Engineering 2015 SIAM Conference on Computational Science and Engineering 25

Program Schedule 26 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Friday, March 13 Saturday, SP1 March 14 Celebrating 15 Years of Registration SIAM CSE 1:00 PM-5:00 PM Registration 8:30 AM-9:00 AM Room:East Foyer 7:15 AM-5:00 PM Room:355 Chair: Christopher Johnson, University of Room:East Foyer Utah, USA Mentoring Session There can be no doubt that SIAM CSE has 4:00 PM-5:00 PM been a big success! We examine the growth Opening Remarks of CSE in SIAM, and more broadly as a Room:Hilton Hotel - Canyon AB discipline, and look toward some of the 8:15 AM-8:30 AM challenges and opportunities for the future. Student Orientation Room:355 Linda R. Petzold, University of California, 5:00 PM-6:00 PM Santa Barbara, USA

Room:Hilton Hotel - Topaz Welcome Reception 6:00 PM-8:00 PM Room:Hilton Hotel - Grand Ballroom 2015 SIAM Conference on Computational Science and Engineering 27

Saturday, March 14 Saturday, March 14 Saturday, March 14 IP1 MS1 MS2 Graph Data Analytics at Network Science Data-methods for Complex Scale: Opportunities and 10:15 AM-11:55 AM Systems - Part I of III Challenges Room:355 10:15 AM-11:55 AM 9:00 AM-9:45 AM Network science is the study of the Room:355 A Room:355 graphs and networks that arise from For Part 2 see MS28 current investigations in social networks, Data-driven methods are transforming Chair: Hans De Sterck, University of biology, power systems, information the engineering, physical and biological Waterloo, Canada retrieval, and neuroscience. The goal of sciences. Indeed, innovative uses of machine The four V’s of Big Data necessitate this minisymposium is to highlight new learning, dimensionality reduction, sparse fundamentally different data analytics. A developments in this field in terms of sensing, and/or network characterization promising strategy toward understanding of algorithms, models, and applications. techniques are allowing for significant a complex system’s dynamics and function In particular, the talks will discuss advances in engineering designs for aims to extract features and relationships understanding communication patterns in the prediction and control of highly between them and to analyze how their the brain via networks, statistical properties complex, often networked, systems. This evolution causes different functional system of large-scale heterogenous networks, minisymposium brings together experts responses. Discovery and forecasting influencing social networks, and local who are integrating together one or more of of patterns in such feature graphs can analysis of massive networks. the aforementioned methodologies with the provide insights about the vulnerability Organizer: David F. Gleich goal of providing transformative analytic of our nation’s energy infrastructure to Purdue University, USA tools and algorithms for characterizing the disturbances, the spread of a cyber-security underlying, low-dimensional, dynamics of attack, or the anomalies in internode Organizer: Tamara G. Kolda the complex system. communication in high performance Sandia National Laboratories, USA Organizer: J. Nathan Kutz systems. This talk will present some 10:15-10:35 Local Methods in Network University of Washington, USA opportunities and challenges in using this Science strategy for computational science and David F. Gleich, Purdue University, USA Organizer: Steven Brunton engineering applications. University of Washington, USA 10:40-11:00 Identifying the Largest Nagiza Samatova Entries in Matrix Multiplication Organizer: Joshua Proctor North Carolina State University and Oak Grey Ballard, Tamara G. Kolda, and Ali Institute for Disease Modeling, USA Ridge National Laboratory, USA Pinar, Sandia National Laboratories, USA; 10:15-10:35 Self-Tuning Complex C. Seshadhri, University of California, Systems Santa Cruz, USA J. Nathan Kutz, University of Washington, Coffee Break 11:05-11:25 Network Science of Brain USA Networks 10:40-11:00 Cluster-based Reduced- 9:45 AM-10:15 AM Zoltan Toroczkai, University of Notre Dame, order Modelling: From Shear Flows to Room:255 USA Engine Tumble Motion 11:30-11:50 Mining Uncertain Eurika Kaiser, Bernd R. Noack, and Laurent Networks Cordier, CNRS, France; Andreas Spohn, Evamaria Terzi, Boston University, USA ENS, France; Marc Segond and Markus W Abel, Ambrosys GmbH, Germany; Guillaume Daviller, CERFACS, France; Jan Östh and Sinisa Krajnovic, Chalmers University of Technology, Sweden; Yujun Cao and Jacques Boree, ENSMA, France; Robert K. Niven, University of New South Wales, Australia; Louis N. Cattafesta, Florida State University, USA

continued on next page 28 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS2 MS3 MS4 Data-methods for Complex Geometric Methods for Adaptive Model Order Systems - Part I of III Graph Partitioning - Reduction - Part I of III 10:15 AM-11:55 AM Part I of II 10:15 AM-11:55 AM continued 10:15 AM-11:55 AM Room:250 A Room:355 D For Part 2 see MS30 For Part 2 see MS29 Classical model reduction follows a static approach where the reduced-order model 11:05-11:25 The Impact of L1 The graph partitioning problem of finding is built once in the offline phase and then optimization in Nonlinear PDE meaningful clusters in a dataset has a variety remains unchanged in the online phase. Stanley J. Osher, University of California, Los of important applications in areas such as Adaptive model reduction breaks with this Angeles, USA machine learning, image analysis, and topic modeling. A variety of new methods have rigid splitting and adapts the reduced order 11:30-11:50 Title Not Available at Time recently been introduced based on ideas from model online. Such adaptive techniques of Publication geometric analysis, compressive sensing, include localization approaches, where one Richard G. Baraniuk, Rice University, USA spectral graph theory, and nonlinear partial of several pre-computed local models is differential equations. This minisymposium selected depending on the current state of aims to bring together mathematicians and the system; dictionary approaches, where the scientists working on these methods to share reduced basis is assembled on demand from new results and exchange ideas. pre-computed basis vectors; and updating methods, which incorporate new data or other Organizer: Braxton Osting information in the reduced-order model. University of Utah, USA Organizer: Benjamin Peherstorfer Organizer: Dominique Zosso Massachusetts Institute of Technology, USA University of California, Los Angeles, USA Organizer: David Amsallem 10:15-10:35 Modulus of Families of Stanford University, USA Walks on Graphs Nathan Albin, Kansas State University, USA 10:15-10:35 Online-Adaptive Reduced Bases for Parametric Problems 10:40-11:00 Graph Directed Topic Bernard Haasdonk, University of Stuttgart, Modeling Germany Arjuna Flenner, Naval Air Weapons Station, USA; Cristina Garcia-Cardona, Los 10:40-11:00 Adaptive $h$-refinement Alamos National Laboratory, USA for Reduced-order Models via Basis Splitting 11:05-11:25 Building Graphs to Kevin T. Carlberg, Sandia National Analyze Big Data Laboratories, USA Blake Hunter, Claremont McKenna College, USA 11:05-11:25 A Nonlinear Trust Region Framework for PDE-Constrained 11:30-11:50 An Incremental Optimization Using Progressively- Reseeding Strategy for Clustering Constructed Reduced-Order Models Thomas Laurent, Loyola Marymount Matthew J. Zahr, University of California, University, USA Berkeley and Stanford University, USA; Charbel Farhat, Stanford University, USA 11:30-11:50 Local/Global Model Order Reduction Techniques for Fracture Pierre Kerfriden, Cardiff University, United Kingdom 2015 SIAM Conference on Computational Science and Engineering 29

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS5 MS6 MS7 State-of-the-art Iterative Computational Techniques Active Subspaces for Solvers for Inverse Problems - for Time Dependent Dimension Reduction: Part I of II Coupled Multiphysics and Theory and Applications - 10:15 AM-11:55 AM Multiscale Problems - Part I of III Room:250 B Part I of III 10:15 AM-11:55 AM For Part 2 see MS31 10:15 AM-11:55 AM Room:250 D Efficient linear solvers are a critical component Room:250 C For Part 2 see MS33 in the large-scale implementations of Parameter studies like uncertainty algorithms for inverse problems. Examples For Part 2 see MS32 The simulation of multiphysics and quantification and optimization are infeasible include solvers for the Newton/Gauss-Newton for complex simulations with more than step and solving the discretized PDEs which multiscale systems is important for a wide range of applications including fluid structure a handful of inputs. When a simulation comprise the “forward problem”. This session contains several inputs, the engineer may will focus on advances in iterative solvers and interaction and conjugate heat transfer. Of particular interest is the formulation of seek an alternative parameterization with preconditioners for linear and nonlinear inverse fewer variables to enable such studies. problems. Applications of the algorithms solvers built by reusing codes for the various subproblems for which it is common to use Active subspaces are an emerging set of include diverse areas ranging from medical tools for dimension reduction in complex imaging to environmental sciences. ad hoc coupling or time integration schemes. This minisymposium discusses new and models. The active subspace is a set of Organizer: Arvind Saibaba practical approaches to advance the state of directions in the space of input variables that Tufts University, USA the art, and to help bridge the gap between correspond to greater change, on average, in researchers working in the various fields. a quantity of interest. This minisymposium Organizer: Misha E. Kilmer will explore (i) recent developments in Tufts University, USA Important aspects include time adaptivity, high order methods, multirate schemes, algorithms that exploit active subspaces and Organizer: Eric Miller stability, coupling conditions, and the overall (ii) applications from across engineering Tufts University, USA solver performance. disciplines. 10:15-10:35 A Bound-Plus-Equality Organizer: Jeffrey W. Banks Organizer: Paul Constantine Constrained Quadratic Minimization Rensselaer Polytechnic Institute, USA Colorado School of Mines, USA Algorithm for Inverse Problems 10:15-10:35 Multirate GARK Schemes 10:15-10:35 Active Subspaces in Johnathan M. Bardsley, University of Montana, Theory and Practice Michael Guenther, Bergische Universität, USA; Marylesa Howard, National Security Eric Dow, Massachusetts Institute of Technologies, LLC, USA Germany; Adrian Sandu, Virginia Tech, USA Technology, USA 10:40-11:00 Statistically Motivated 10:40-11:00 The Dirichlet-Neumann 10:40-11:00 Envelopes: Subspace Preconditioners and Stopping Criteria Methods for Efficient Estimation in for Biomedical Inverse Problems Iteration and Unsteady Thermal Fluid Structure Interaction Multivariate Statistics Daniela Calvetti and Erkki Somersalo, Case Philipp Birken and Azahar Monge Sanchez, Dennis Cook, University of Minnesota, USA Western Reserve University, USA Lund University, Sweden 11:05-11:25 Order Determination 11:05-11:25 Numerical Implementation 11:05-11:25 Partitioned Fluid-Structure for Dimension Reduction Using of a New Class of Forward-Backward- Interaction on Massively Parallel An Alternating Pattern of Spectral Forward Diffusion Equations for Image Systems Variability Restoration Florian Lindner and Miriam Mehl, Bing Li and Wei Luo, Pennsylvania State James V. Lambers, University of Southern Universität Stuttgart, Germany; Benjamin University, USA Mississippi, USA; Patrick Guidotti, Uekermann, Technische Universität 11:30-11:50 Mathematical University of California, Irvine, USA; Yunho München, Germany Foundations of Subspace Selections Kim, Ulsan National Institute of Science and Massimo Fornasier, Technical University 11:30-11:50 Multi-level Acceleration Technology, South Korea of Munich, Germany; Valeriya Naumova, of Strongly Coupled Fluid-structure 11:30-11:50 Recycling Krylov Interaction with Manifold Mapping Simula Research Laboratory, Norway Subspaces for Parametric Linear David Blom, Alexander H. van Zuijlen, Systems Arising from Hyperspectral and Hester Bijl, Delft University of Diffuse Optical Tomography Technology, Netherlands Arvind Saibaba, Misha E. Kilmer, and Eric Miller, Tufts University, USA 30 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS8 MS9 MS10 Advances in Algorithms for Matrix-Free Methods for Embedded Boundary and Uncertainty Quantification Large-Scale Optimization Interface Techniques - in Large-scale Inverse and Applications Part I of II Problems - Part I of III 10:15 AM-11:55 AM 10:15 AM-11:55 AM 10:15 AM-11:55 AM Room:250 F Room:251 A Room:250 E For Part 2 see MS35 For Part 2 see MS36 For Part 2 see MS34 Many applications can be formulated as Many problems in science and engineering Quantification of uncertainty in large- large-scale optimization problems, including are modeled by partial differential equations scale inverse problems governed by partial inverse problems, medical and seismic (PDEs) in domains with irregular geometry differential equations presents significant imaging, classification in machine learning, and/or with interfaces. Development of challenges due to computationally expensive data assimilation in weather prediction, and special algorithms are required to restore parameter-to-observable maps and high- matrix decompositions. For all of them, the accuracy of the numerical schemes near dimensional parameter spaces. This explicit modeling is prohibitive and matrix- arbitrary boundaries/or interfaces. Recently, minisymposium presents recent advances in free methods are essential for competitive much of the progress has been made for algorithms that make UQ for large-scale linear performance. First-order methods have designing highly accurate and efficient and nonlinear inverse problems tractable by proven widely successful in recent years. numerical methods for such problems exploiting problem structure. However, recent developments suggest that which employ only simple Cartesian grids. Developments and applications of XFEM, Organizer: Georg Stadler matrix-free second-order methods, such as interior-point methods, can be competitive. Immersed Interface Methods and Difference Courant Institute of Mathematical Sciences, The goal of the minisymposium is to Potentials Methods, as well as open questions New York University, USA explore those ideas, compare to first-order in the field will be discussed in details. Organizer: George Biros methods, and promote further research and Organizer: Yekaterina Epshteyn University of Texas at Austin, USA collaboration between the optimization and University of Utah, USA applied communities in developing large- Organizer: Omar Ghattas scale matrix-free methods. Organizer: Gunilla Kreiss University of Texas at Austin, USA Uppsala University, Sweden Organizer: Dominique Orban Organizer: Youssef M. Marzouk École Polytechnique de Montréal, Canada 10:15-10:35 Difference Potentials Massachusetts Institute of Technology, USA Method for Parabolic Models in Organizer: Aleksandr Aravkin 10:15-10:35 Conditions for Successful Irregular Domains IBM T.J. Watson Research Center, USA Data Assimilation in High Dimensions Jason Albright and Yekaterina Epshteyn, Matthias Morzfeld, Lawrence Berkeley 10:15-10:35 Matrix Free Methods for University of Utah, USA National Laboratory, USA; Alexandre Large-Scale Nonlinear Constrained 10:40-11:00 Multidimensional Chorin, University of California, Berkeley, Optimization Embedded Finite Difference Methods USA James V. Burke, University of Washington, which Satisfies Energy Estimates USA 10:40-11:00 Filtering Unstable Adi Ditkowsky, Tel Aviv University, Israel Quadratic Dissipative Systems 10:40-11:00 Title Not Available at Time 11:05-11:25 High-Order Accurate Kody Law, King Abdullah University of of Publication Difference Potentials Methods for the Science & Technology (KAUST), Saudi Michael Friedlander, University of Stokes--Darcy Problem Arabia; Andrew Stuart, Daniel Sanz- California, Davis, USA Yekaterina Epshteyn and Kyle R. Steffen, Alonso, and Abhishek Shukla, University of 11:05-11:25 Anatomy of a Matrix- University of Utah, USA Warwick, United Kingdom Free Interior-Point Solver for Convex 11:30-11:50 High Order Cut Finite 11:05-11:25 Ensemble Methods Optimization Elements Methods for Large-Scale PDE-Constrained Dominique Orban, École Polytechnique de August Johansson, Simula Research Bayesian Inverse Problems Montréal, Canada Laboratory, Norway; Mats G. Larson, Kainan Wang and Tan Bui-Thanh, University 11:30-11:50 Matrix-Free Interior-Point Umeå University, Sweden of Texas at Austin, USA Method for Large Scale Machine 11:30-11:50 High Dimensional Non- Learning Problems Gaussian Bayesian Inference with Aleksandr Aravkin, IBM T.J. Watson Transport Maps Research Center, USA Alessio Spantini and Youssef M. Marzouk, Massachusetts Institute of Technology, USA 2015 SIAM Conference on Computational Science and Engineering 31

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS11 MS12 MS13 Physics-compatible Innovative Algorithms for AWM Workshop - Career Discretization on Multiphysics Eigenvalue and Singular Development: Celebrating Systems and Efficient Value Decomposition - Firsts - Lessons from Multilevel Solvers - Part I of II Part I of III Trailblazers, First Ones, and 10:15 AM-11:55 AM 10:15 AM-11:55 AM Only Ones Room:251 B Room:251 C 10:15 AM-11:55 AM For Part 2 see MS37 For Part 2 see MS38 Room:251 D Design of the appropriate discretization for The minisymposium will focuses on the For Part 2 see MS39 the PDE systems can oftentimes be done by first steps taken on the development of novel Sponsored by Association for Women in taking into account the detailed characteristics software methodologies and algorithm for the Mathematics (AWM) of the PDE models in relation to the next generation of HPC systems. Some scale underlying Physics. In many cases, efficient challenges will be addressed; the goal is to close The historical awarding of the Fields Medal multilevel iterative solvers can be developed the “application-architecture peak performance to a female mathematician reminds us based on such discretization. Therefore, such gap” by exploring algorithms and runtime that women in mathematics, engineering, discretization is typically solver-friendly. The improvements that will enable key science and science continue to break barriers and minisymposium is to disseminate the state- applications to better exploit the architectural blaze trails in academia, industry, national of-art developments in physics-compatible features of the extreme-scale systems. The laboratories and institutes. What does it discretization on multi-physics systems and contributed talks will cover new approaches take to be the first woman graduate or the corresponding efficient multilevel solvers. that can overcome the limitations of existing tenured professor? What does it take to be a trailblazer at the forefront of a research field? Organizer: Yunrong Zhu dense/sparse eigensolver libraries on platforms that require fine granularity and memory- What does it take to succeed when you are Idaho State University, USA aware computational tasks combined with the only woman in your department? These Organizer: Young-Ju Lee asynchronism in parallel execution. amazing individuals will share their stories, Texas State University, USA strategies, and lessons learned as we celebrate Organizer: Azzam Haidar the success of past and future firsts. 10:15-10:35 Robust Multilevel University of Tennessee, Knoxville, USA Preconditioners for Elliptic Problems Organizer: Elebeoba May with Discontinuous Coefficients Organizer: Piotr Luszczek University of Houston, USA University of Tennessee, Knoxville, USA Yunrong Zhu, Idaho State University, USA Organizer: Hoa Nguyen 10:40-11:00 Finite Element Multigrid Organizer: Stanimire Tomov Trinity University, USA University of Tennessee, Knoxville, USA Framework for Mimetic Finite Organizer: Yekaterina Epshteyn Difference Discretizations 10:15-10:35 Efficient Eigensolver University of Utah, USA Francisco José Gaspar, University of Algorithm on Accelerator-Based Zaragoza, Spain; Xiaozhe Hu, Tufts Architecture Speakers To Be Announced University, USA; Carmen Rodrigo, Azzam Haidar, Piotr Luszczek, and Stanimire University of Zaragoza, Spain; Ludmil Tomov, University of Tennessee, Knoxville, Zikatanov, Pennsylvania State University, USA USA 10:40-11:00 Towards Materials 11:05-11:25 Adaptive Regularization Design with Extreme-Scale Quantum Strategies for Nonlinear PDE Simulations Sara Pollock, Texas A&M University, USA Thomas C. Schulthess, Anton Kozhevnikov, and 11:30-11:50 New Multigrid Methods for Solcà Raffaele, ETH Zürich, Switzerland Saddle Point Problems 11:05-11:25 GPGPU Acceleration of the Susanne Brenner, Louisiana State University, Ams Eigensolver Using Magma USA; Hengguang Li, Wayne State Mintae Kim, Luis Crivelli, Michael Wood, University, USA; Li-yeng Sung, Louisiana Cristian Ianculescu, and Vladimir Belsky, State University, USA Dassault Systèmes, USA 11:30-11:50 High-Performance Computation of Pseudospectra Jack L. Poulson, Stanford University, USA 32 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS14 MS15 MS16 NSF-SIAM Symposium Efficient High-order Theory, Computation and on Mathematical and Numerical Methods for Experiments in Biofluids - Computational Aspects of Nonlinear PDEs - Part I of II Part I of II Materials Science - 10:15 AM-11:55 AM 10:15 AM-11:55 AM Part I of III Room:251 F Room:254 A 10:15 AM-11:55 AM For Part 2 see MS64 For Part 2 see MS42 Room:251 E Recent years have seen growing trends in Over the last two decades the study of the development of efficient high-order systemic biofluids and their interactions For Part 2 see MS40 numerical schemes for nonlinear PDEs with engineering therapeutics and The materials science community including hyperbolic equations, Hamilton- implants has rapidly developed into an has embarked on various large-scale Jacobi equations, and quantum and kinetic interdisciplinary approach of utilizing computational projects. We mention the models. Many challenges in computational Mathematics, Bioengineering, Biomedical, materials genome project---a broad survey efficiency, accuracy, multi-scales, and and the Biological Sciences to address of thousands of materials---and several deep- theoretical foundations are actively addressed the complexities and challenges of this mining projects of a few selected materials. for various applications. This minisymposium field. Eight speakers in this two part These projects offer interesting opportunities will bring together researchers to exchange minisymposium will present their research for mathematical and computational scientists ideas and recent developments in these spanning mathematical analysis, algorithm to advance the state of the art in materials fields, with applications such as rarefied gas development, complex simulations of research by developing mathematical models, dynamics, semi-conductor simulation, optimal biological systems and coordination between computational algorithms, and tools for data transportation and optimal control. modeling and experiments. The diversity of analysis. The Division of Materials Research these presentations shows the importance Organizer: Yingda Cheng (DMR) and Division of Mathematical of interdisciplinary research on systemic Sciences (DMS) of the National Science Michigan State University, USA biofluids to understand its wide range of Foundation are encouraging collaborations Organizer: Fengyan Li domains from basic processes of fluid of mathematicians and materials scientists Rensselaer Polytechnic Institute, USA dynamics to technological applications. through several mechanisms (MSII, DMREF, etc.). The speakers in this symposium will 10:15-10:35 High-order Discontinuous Organizer: Hoa Nguyen will highlight opportunities for joint research Galerkin Methods for Some Kinetic Trinity University, USA Models projects. Organizer: John Carrola Fengyan Li, Rensselaer Polytechnic Institute, Organizer: Hans G. Kaper Southwest Research Institute, USA USA Argonne National Laboratory and 10:15-10:35 Modeling Escherichia Georgetown University, USA 10:40-11:00 High Order Semi- Coli Chemotaxis in a Fluid Lagrangian Discontinuous Galerkin Hoa Nguyen, Trinity University, USA 10:15-10:35 Opportunities and Schemes for First and Second Order Challenges in First Principles Models of PDEs 10:40-11:00 The Role of Intraclot Materials Olivier Bokanowski, Université Paris-Diderot, Transport in the Dynamics of Platelet Kaushik Bhattacharya, California Institute of France Deposition and Coagulation Under Technology, USA Flow 11:05-11:25 Convergence of Semi- Aaron L. Fogelson, University of Utah, 10:40-11:00 New Liquid-Crystal Based Discrete Stationary Wigner Equation USA; Karin Leiderman, University of Models and Technologies with Inflow Boundary Conditions California, Merced, USA Carme Calderer, University of Minnesota, Tiao Lu, Ruo Li, and Zhangpeng Sun, Peking USA University, China 11:05-11:25 Modeling Cardiac Electro-Fluid-Mechanical Interaction 11:05-11:25 Opportunities in 11:30-11:50 Self-Organized Boyce Griffith, University of North Carolina Computational Science: Genomes, Hydrodynamics in An Annular Domain: at Chapel Hill, USA Mesoscale and Closing the Loop Modal Analysis and Nonlinear Effects George Crabtree, Argonne National Hui Yu, Universite de Toulouse, France 11:30-11:50 An Integrative Model Laboratory, USA of Lamprey Locomotion Using the 11:30-11:50 Problems in Pattern Immersed Boundary Method Formation, Geometry and Design of Christina Hamlet, Tulane University, USA; Materials Eric Tytell, Tufts University, USA; Lisa J. Marta Lewicka, University of Pittsburgh, USA Fauci, Tulane University, USA 2015 SIAM Conference on Computational Science and Engineering 33

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS17 MS18 MS19 Parallel Programming Advanced Algorithms Computational Methods Models, Algorithms and in Computational for Kinetic Equations and Frameworks for Extreme Electromagnetics - Related Models - Part I of V Computing - Part I of III Part I of II 10:15 AM-11:55 AM 10:15 AM-11:55 AM 10:15 AM-11:55 AM Room:150 AB Room:254 B Room:254 C For Part 2 see MS45 Kinetic descriptions play an important role For Part 2 see MS44 For Part 2 see MS43 in a variety of physical, biological, and even The minisymposium focuses on advanced Multicore/manycore processors and social applications. Unfortunately, the large numerical algorithms and high performance accelerators are universally available as phase space associated with the kinetic simulations for electromagnetic systems, both collections of homogeneous standard description has in the past made simulations including photonics crystals, plasmonics, microprocessors and as attached heterogeneous impractical in most settings. However, solar cells, and quantum electronic devices. co-processors. Application and library software recent advances in computer resources and Main topics include high-order PDE/ODE developers may often effectively use these numerical algorithms are making kinetic discretizations, Green function, integral processors and some general approaches have models more tractable, and this trend is equation, boundary element method, emerged. It is widely recognized that careful expected to continue in the future. The and density matrix approaches. Scalable design of software and data structures, with purpose of this minisymposium is to report algorithms and efficient preconditioning effective memory management, are the most on the continuing progress on numerical strategies are also discussed for solving large- critical issues to obtain scalable optimized analysis and computational science for scale systems on the advanced computing performance on those systems. In these kinetic equations. It brings together platforms. minisymposia we discuss current experiences researchers from applied mathematics, and development of applications, libraries Organizer: MiSun Min computational science, physics, and and frameworks using a variety of hardware. Argonne National Laboratory, USA engineering communities to discuss their Speakers will address performance results and work and exchange ideas. software design. Organizer: David P. Nicholls University of Illinois, Chicago, USA Organizer: Martin Frank Organizer: Kengo Nakajima RWTH - Aachen University of Technology, University of Tokyo, Japan 10:15-10:35 Fast Solvers for Wave Propagation and Scattering by Germany Organizer: Michael Heroux General Structures Organizer: Cory Hauck Sandia National Laboratories, USA Oscar P. Bruno, California Institute of Oak Ridge National Laboratory, USA Technology, USA Organizer: Serge G. Petiton Organizer: Ryan G. McClarren CNRS/LIFL and INRIA, France 10:40-11:00 Generalized Combined Texas A&M University, USA 10:15-10:35 Opportunities and Sources Integral Equations for Organizer: Jingmei Qiu Challenges in Developing and Using Helmholtz Transmission Problems Scientific Libraries on Emerging Catalin Turc, New Jersey Institute of University of Houston, USA Architectures Technology, USA Organizer: Jeffrey A. Willert Michael Heroux, Sandia National 11:05-11:25 Scalable Algorithms for Los Alamos National Laboratory, USA Laboratories, USA Density Matrix Calculations of Cavity 10:15-10:35 Generalized Radiative 10:40-11:00 ppOpen-APPL/HEXA: A Quantum Electrodynamic Systems Transfer: Accounting Accurately Framework for Development of Parallel Matthew Otten, Cornell University, USA for Unresolved Variabilities at No FEM/FVM Applications on Intel Xeon 11:30-11:50 Electromagnetic Power Computational Cost, Yet Without Phi Absorption and Plasmon Resonances Homogenization Kengo Nakajima, University of Tokyo, Japan on Rough Conducting Surfaces Anthony B. Davis and Feng Xu, California 11:05-11:25 On First Experiments for Carlos A. Perez-Arancibia and Oscar P. Institute of Technology, USA Nuclear Engineering Applications on Bruno, California Institute of Technology, Intel Xeon Phi USA Christophe Calvin, CEA Saclay, France 11:30-11:50 Managing Portability for ASC Applications Jeff Keasler and Richard Hornung, Lawrence Livermore National Laboratory, USA continued on next page 34 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS19 MS20 MS21 Computational Methods Stochastic Simulation of Career Fair: Alternatives to for Kinetic Equations and Turbulent Flows Using One- Academia - Part I of III Related Models - Part I of V dimensional Turbulence 10:15 AM-11:55 AM 10:15 AM-11:55 AM 10:15 AM-11:55 AM Room:255 continued Room:150 DE For Part 2 see MS47 Simulation of turbulent flows is an important The career fair will feature representatives and challenging problem due to the wide from nonacademic employers from industry range of length and time scales involved. and government. These representatives 10:40-11:00 Quadrature-Based One-dimensional turbulence (ODT) is a will be prepared to discuss with you the Moment Methods for Radiation stochastic model that resolves a full range opportunities for internships, postdoctoral Transport of length and time scales while remaining appointments and full-time jobs at their Rodney O. Fox, Iowa State University, computationally affordable. ODT has been organizations. USA; Cory Hauck, Oak Ridge National applied to a wide range of multiphysics Organizer: William G. Kolata Laboratory, USA; Ming Tse P. Laiu, problems including buoyant flows, University of Maryland, College Park, SIAM, USA combustion, and multiphase flows. This USA; Frederique Laurent, Ecole Centrale minisymposium presents recent advances Organizer: Kristin O’Neill de Paris, France; Marc Massot, CNRS, in stochastic computational science using SIAM, USA France ODT. An overview of ODT is presented, This is the most current list at time of 11:05-11:25 Stability of PN with applications to soot formation in flames, printing. Approximations for the Radiative multiphase reacting and nonreacting flows, • Argonne National Laboratory Transfer Equation in the Free Streaming and extension of ODT to three dimensions by • Boeing Limit coupling with large eddy simulation. • Hewlett-Packard Laboratories Matthias Schlottbom, Institute for Organizer: David O. Lignell Computational and Applied Mathematics, • Kitware Brigham Young University, USA Germany; Herbert Egger, Technische • Lawrence Berkeley National Universität Darmstadt, Germany 10:15-10:35 One-dimensional Laboratory Turbulence Simulation: Overview • Lawrence Livermore National 11:30-11:50 On Combining Moment and Application to Soot Formation in Methods and Discrete-Velocity- Laboratory Nonpremixed Flames Schemes for Solving the Boltzmann • MathWorks David O. Lignell and Victoria Lansinger, Equation • MIT Lincoln Laboratory Brigham Young University, USA; John C. Manuel Torrilhon, RWTH Aachen University, Hewson, Sandia National Laboratories, • National Institute of Standards & Germany USA Technology • NSA 10:40-11:00 Particle-Scalar Field Interactions in One-Dimensional • NVIDIA Turbulence • Oak Ridge National Laboratory John C. Hewson, Sandia National • Quantlab Laboratories, USA; Guangyuan Sun and David O. Lignell, Brigham Young The most current list of participating University, USA companies is available at www.siam. 11:05-11:25 Multiphase Turbulent org/meetings/cse15/career.php. Reacting Flow Simulations Using ODT James C. Sutherland and Babak Goshayeshi, University of Utah, USA 11:30-11:50 ODTLES: A Multiscale Approach for Highly Turbulent Flows Christoph Glawe, Technical University Cottbus, Germany; Heiko Schmidt, Brandenburgische Technische Universität Cottbus, Germany; Alan Kerstein, Consultant, USA 2015 SIAM Conference on Computational Science and Engineering 35

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS22 MS23 MS24 Computational Methods Recent Developments of Advances in Radial for Periodic Flows and their DG/WENO Methods for Basis Function and Other Applications Partial Differential Equations Meshfree Methods - 10:15 AM-11:55 AM - Part I of II Part I of V Room:260 A 10:15 AM-11:55 AM 10:15 AM-11:55 AM Many biological and physical flows at low- Room:260 B Room:151 AB Reynolds number exhibit periodic behavior. For Part 2 see MS49 For Part 2 see MS50 One modeling approach to investigate This minisymposium is to bring people Meshfree methods have many inherent these flows is the use of periodic Green’s together to discuss the recent advances and properties that make them useful for a variety functions, or, the periodic summation of exchange ideas in the algorithm design of of problems in science and engineering, the corresponding Green’s functions in free discontinuous Galerkin (DG) method and from fitting data to numerically solving space. While simple in concept, the practical weighted essentially nonoscillatory (WENO) differential equations. Such methods computation of periodic Green’s functions is method, including the implementation, offer geometric flexibility, non-uniform nontrivial since brute force summation can numerical analysis of those high-order resolution, and advantageous trade-offs lead to divergent or slowly convergent sums. numerical methods for solving partial between accuracy and computational costs. To make numerical computation feasible, differential equations. In the minisymposium, This minisymposium focuses primarily on other approaches such as Ewald summation the speakers will apply those high-order methods based on radial basis functions and methods must also be applied.The aim of numerical methods to computational other more general kernels. The talks will this minisymposium is to share insight into fluid, biology and physics, etc. This address recent advances in the application computational methods for periodic flows and minisymposium is a good opportunity for of these methods to large-scale problems in their applications. people to discuss with researchers from biology, geophysics, image processing, and Organizer: Hoang-Ngan Nguyen different areas, and explore more applications finance, as well as theoretical advances in the University of California, Merced, USA and future research collaborations. methods themselves. Organizer: Karin Leiderman Organizer: Yang Yang Organizer: Varun Shankar University of California, Merced, USA Michigan Technological University, USA University of Utah, USA 10:15-10:35 Computation of the Organizer: Juan Cheng Organizer: Grady B. Wright Regularized Image Systems for Doubly- Institute of Applied Physics and Boise State University, USA Periodic Brinkman Flow in the Presence Computational Mathematics, China 10:15-10:35 Guidelines to Modeling of a Wall 10:15-10:35 Symmetry-Preserving the Navier-Stokes and Euler Equations Hoang-Ngan Nguyen and Karin Leiderman, Conservative Lagrangian Scheme for with RBF-FD University of California, Merced, USA Compressible Euler Equations in Two- Natasha Flyer, National Center for 10:40-11:00 Accelerated Boundary Dimensional Cylindrical Coordinates Atmospheric Research, USA; Louis Integral Simulations for Fluid-Structure Juan Cheng, Institute of Applied Physics and Wicker, National Oceanic and Atmospheric Interactions in Periodic Stokes Flow Computational Mathematics, China Administration, USA; Gregory Barnett, Anna-Karin Tornberg, KTH Royal Institute of 10:40-11:00 Superconvergent HDG University of Colorado Boulder, USA Technology, Sweden Methods for Third-Order Equations in 10:40-11:00 A High-Order RBF-Based 11:05-11:25 A Numerical Method for One-Space Dimension Leray Projection Method for the Doubly-Periodic Stokes Flow Near a Bo Dong and Yanlai Chen, University of Incompressible Stokes and Navier- Wall Massachusetts, Dartmouth, USA; Bernardo Stokes Equations Franz M. Hoffmann, Tulane University, USA Cockburn, University of Minnesota, Edward Fuselier, High Point University, Minneapolis, USA USA; Varun Shankar, University of 11:30-11:50 Cilia Beating Patterns are Utah, USA; Grady B. Wright, Boise State not Hydrodynamically Optimal 11:05-11:25 A Local Discontinuous University, USA Hanliang Guo, University of Southern Galerkin Scheme for the Patlak-Keller- California, USA; Janna C. Nawroth, Harvard Segel Chemotaxis Model 11:05-11:25 A Novel Elliptic Solver University, USA; Yang Ding, Beijing Yang Yang, Michigan Technological Based on RBF-Finite Differences for Computational Science Research Center, University, USA; Xingjie Li and Chi-Wang Understanding the Earth’s Electric China; Eva Kanso, University of Southern Shu, Brown University, USA System Victor Bayona and Natasha Flyer, National California, USA 11:30-11:50 Optimal Error Estimates Center for Atmospheric Research, USA for Discontinuous Galerkin Methods Based on Upwind Biased Fluxes for 11:30-11:50 The Fast Orthogonal Linear Hyperbolic Equations Gradients Method: An RBF Method for Xiong Meng, University of East Anglia, Solving PDEs on Point Cloud-Defined United Kingdom Surfaces Cecile M. Piret, Université Catholique de Louvain, Belgium 36 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 11:05-11:25 The Role of Microdomains and Ephaptic Coupling in Cardiac MS25 MS26 Action Potential Propagation James P. Keener, University of Utah, USA Applications and Uses for Challenges in 11:30-11:50 Strongly Scalable Tensors Computational Cardiac Numerical Approaches for Modeling 10:15 AM-11:55 AM Electrophysiology - Cardiac Electromechanics at High Part I of II Spatiotemporal Resolution Room:151 DE Christoph Augustin, Aurel Neic, Manfred An in-depth examination of uses for tensors in 10:15 AM-11:55 AM Liebmann, Gundolf Haase, and Gernot different applications and areas of research. Room:151 G Plank, University of Graz, Austria Organizer: Martin D. Schatz For Part 2 see MS51 University of Texas at Austin, USA The use of computer simulation to model 10:15-10:35 A Framework for cardiac electrophysiology, from the cellular Lunch Break level to the whole-organ, has the potential Distributed Tensor Computations 11:55 AM-1:30 PM Martin D. Schatz, University of Texas at to revolutionise mechanistic understanding, Austin, USA; Tamara G. Kolda, Sandia diagnosis and treatment of arrhythmias. Attendees on their own National Laboratories, USA; Robert A. van These models are often complex and de Geijn, University of Texas at Austin, computationally demanding, and integrating USA the available electrical and imaging data with its inherent uncertainty makes direct 10:40-11:00 Exploiting Multiple clinical utility particularly challenging. Tensor Symmetries though Block This minisymposium highlights the latest Diagonalization advancements and new approaches to Charles Van Loan, Cornell University, USA modelling cardiac electrophysiology across 11:05-11:25 Tensor Computation for multiple scales, including imaging and data Chemistry and Material Science integration, which will pave the way for Justus Calvin and Edward F. Valeev, Virginia developing clinically tractable simulation Tech, USA environments to aid patient treatment in the future. 11:30-11:50 Distributed Contraction of Tensors Organizer: Chris Cantwell P. Sadayappan and Samyam Rajbhandari, Imperial College London, United Kingdom The Ohio State University, USA; Sriram Organizer: Frank B. Sachse Krishnamoorthy, Pacific Northwest National University of Utah, USA Laboratory, USA; Pai-Wei Lai, The Ohio State University, USA Organizer: Richard Clayton University of Sheffield, United Kingdom 10:15-10:35 Multi-Scale Modeling of the Failing Heart: from Molecule to Patient Andrew D. McCulloch, Christopher Villongco, Adarsh Krishnamurthy, and David Krummen, University of California, San Diego, USA 10:40-11:00 Towards Multidomain Modeling of Cardiac Electrophysiology Frank B. Sachse, Thomas Seidel, and Jan Christoph Edelmann, University of Utah, USA; Gunnar Seemann, Karlsruhe Institute of Technology, Germany

continued in next column 2015 SIAM Conference on Computational Science and Engineering 37

Saturday, March 14 Saturday, March 14 Saturday, March 14 PD1 Panel IP2 MS27 Student Careers Model Reduction - Featured Minisymposium: 12:15 PM-1:30 PM Trouble with Scales? Fast Multipole Methods Maturing at 30 Years Room:355 D 1:30 PM-2:15 PM Sponsored by KAUST Room:355 2:25 PM-4:05 PM Chair: Evrim Acar, University of Chair: Pavel Bochev, Sandia National Room:355 Copenhagen, Denmark Laboratories, USA In the last five years or so, research on fast multipole methods has been buzzing Chair: William G. Kolata, SIAM, USA Scientific and technological advances call for more and more complex models as well as and it seems that finally this “top-10” Chair: Patrick O’Leary, Kitware, Inc., USA systematic ways of complementing them by algorithm may be reaching its potential. The panelists will present an overview careers observational data. Despite the ever increasing The mathematicians have always continued in CSE in Academia, Industry and National computing capacity, ironically, the need making progress and improvements, but Laboratories. The session will begin with for quantifiable model reduction concepts lately we see many developments in the brief presentations by the panelists, followed is also gaining increasing importance in computer science aspects of implementing by an open discussion and question period numerous application contexts. Examples the algorithm with high performance, with students in the audience. Lunch will be are large scale design or online optimization and the applications arena. This featured provided. Attendance is limited to current tasks, uncertainty quantification or inversion minisymposium will present leaders in the undergraduate and graduate students. If problems some of which may only become field discussing the most resent advances you did not register but would like to attend, feasible through employing reduced and giving perspectives for the future. It will please see a SIAM staff member at the models. Starting from a flow scenario with complement several regular minisymposia registration desk microscales this talk highlights several aspects being presented at the conference. of related model reduction strategies with Organizer: Lorena A. Barba particular focus on accuracy and stability George Washington University, USA Thomas Grandine guarantees, presence of small scales, singular 2:25-2:45 Overview of the Field and The Boeing Company, USA perturbations, and high dimensionality. the Community of Fast Multipole We address some of the key ingredients, David Keyes Methods revolving around error-residual relations, rate- KAUST, Saudia Arabia and Columbia Lorena A. Barba, George Washington optimality as a benchmark notion, adaptive University, USA University, USA or greedy methods, separation of variables. Cynthia Phillips The discussion is illustrated by numerical 2:50-3:10 N-body Methods in Sandia National Laboratories, USA examples. Computational Science and Engineering Jeffrey Saltzman Wolfgang Dahmen George Biros, University of Texas at Austin, AstraZeneca, USA RWTH Aachen, Germany USA 3:15-3:35 Computer Science Aspects of Fast Multipole Methods Intermission Richard Vuduc, Georgia Institute of Technology, USA 2:15 PM-2:25 PM 3:40-4:00 The Geometry of the Fast Multipole Methods Lexing Ying, Stanford University, USA 38 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS28 MS29 MS30 Data-methods for Complex Geometric Methods for Adaptive Model Order Systems - Part II of III Graph Partitioning - Reduction - Part II of III 2:25 PM-4:05 PM Part II of II 2:25 PM-4:05 PM Room:355 A 2:25 PM-4:05 PM Room:250 A For Part 1 see MS2 Room:355 D For Part 1 see MS4 For Part 3 see MS53 For Part 3 see MS55 For Part 1 see MS3 Classical model reduction follows a static Data-driven methods are transforming the The graph partitioning problem of finding approach where the reduced-order model engineering, physical and biological sciences. meaningful clusters in a dataset has a variety is built once in the offline phase and then Indeed, innovative uses of machine learning, of important applications in areas such as remains unchanged in the online phase. dimensionality reduction, sparse sensing, machine learning, image analysis, and topic Adaptive model reduction breaks with this and/or network characterization techniques modeling. A variety of new methods have rigid splitting and adapts the reduced order are allowing for significant advances in recently been introduced based on ideas from model online. Such adaptive techniques engineering designs for the prediction geometric analysis, compressive sensing, include localization approaches, where one and control of highly complex, often spectral graph theory, and nonlinear partial of several pre-computed local models is networked, systems. This minisymposium differential equations. This minisymposium selected depending on the current state of brings together experts who are integrating aims to bring together mathematicians and the system; dictionary approaches, where the together one or more of the aforementioned scientists working on these methods to share reduced basis is assembled on demand from methodologies with the goal of providing new results and exchange ideas. transformative analytic tools and algorithms pre-computed basis vectors; and updating for characterizing the underlying, low- Organizer: Braxton Osting methods, which incorporate new data or dimensional, dynamics of the complex system. University of Utah, USA other information in the reduced-order model. Organizer: J. Nathan Kutz Organizer: Dominique Zosso Organizer: Benjamin Peherstorfer University of Washington, USA University of California, Los Angeles, USA Massachusetts Institute of Technology, USA Organizer: Steven Brunton 2:25-2:45 Sampling of Dynamic Graphs and Recovery of the Spectral Organizer: David Amsallem University of Washington, USA Properties Stanford University, USA Organizer: Joshua Proctor Nathan D. Monnig, Conrad Hougen, 2:25-2:45 Geometric Methods in Institute for Disease Modeling, USA and Francois G. Meyer, University of Adaptive Model Order Reduction Colorado Boulder, USA 2:25-2:45 Data-Driven Modeling of Ralf Zimmermann, TU Braunschweig, Complex Systems with Control 2:50-3:10 Consistency of Variational Germany; Thomas Franz, German Joshua L. Proctor, Institute for Disease Partitioning of Point Clouds Aerospace Center (DLR), Germany Modeling, USA Nicolas Garcia Trillos and Dejan Slepcev, 2:50-3:10 An Adaptive and Efficient 2:50-3:10 Low-Complexity Stochastic Carnegie Mellon University, USA; James Greedy Procedure for the Optimal Modeling of Turbulent Flows von Brecht, University of California, Training of Parametric Reduced- Mihailo R. Jovanovic, University of Los Angeles, USA; Thomas Laurent, Order Models Minnesota, USA Loyola Marymount University, USA; Arthur Paul-Dubois-Taine and David Xavier Bresson, Swiss Federal Institute of Amsallem, Stanford University, USA 3:15-3:35 A Deim Induced Cur Technology, Switzerland Factorization 3:15-3:35 Error Estimation for Hyper- Danny C. Sorensen, Rice University, USA 3:15-3:35 Geometric Methods in Reduced Elastoviscoplastic Models Image Processing, Networks, and David Ryckelynck, Mines ParisTech, France 3:40-4:00 Data Mining and Coarse Machine Learning Graining for Network Evolution Andrea L. Bertozzi, University of California, 3:40-4:00 Symplectic Model Problems Los Angeles, USA Reduction for Hamiltonian Systems Yannis Kevrikidis, Princeton University, USA Kamran Mohseni, University of Florida, 3:40-4:00 A Panoply of Graph-ported Gainesville, USA; Liqian Peng, University PDEs and Processes of Florida, USA Yves van Gennip, Nottingham University, United Kingdom 2015 SIAM Conference on Computational Science and Engineering 39

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS31 MS32 MS33 State-of-the-art Iterative Computational Techniques Active Subspaces for Solvers for Inverse Problems for Time Dependent Coupled Dimension Reduction: Theory - Part II of II Multiphysics and Multiscale and Applications - Part II of III 2:25 PM-4:05 PM Problems - Part II of III 2:25 PM-4:05 PM Room:250 B 2:25 PM-4:05 PM Room:250 D For Part 1 see MS5 Room:250 C For Part 1 see MS7 Efficient linear solvers are a critical For Part 1 see MS6 For Part 3 see MS58 component in the large-scale For Part 3 see MS57 Parameter studies like uncertainty implementations of algorithms for inverse The simulation of multiphysics and multiscale quantification and optimization are infeasible problems. Examples include solvers for the systems is important for a wide range for complex simulations with more than Newton/Gauss-Newton step and solving of applications including fluid structure a handful of inputs. When a simulation the discretized PDEs which comprise interaction and conjugate heat transfer. contains several inputs, the engineer may the “forward problem”. This session will Of particular interest is the formulation of seek an alternative parameterization with focus on advances in iterative solvers and solvers built by reusing codes for the various fewer variables to enable such studies. Active preconditioners for linear and nonlinear subproblems for which it is common to use subspaces are an emerging set of tools for inverse problems. Applications of the ad hoc coupling or time integration schemes. dimension reduction in complex models. The algorithms include diverse areas ranging This minisymposium discusses new and active subspace is a set of directions in the from medical imaging to environmental practical approaches to advance the state of space of input variables that correspond to sciences. the art, and to help bridge the gap between greater change, on average, in a quantity of Organizer: Arvind Saibaba researchers working in the various fields. interest. This minisymposium will explore (i) recent developments in algorithms that exploit Tufts University, USA Important aspects include time adaptivity, high order methods, multirate schemes, active subspaces and (ii) applications from Organizer: Misha E. Kilmer stability, coupling conditions, and the overall across engineering disciplines. Tufts University, USA solver performance. Organizer: Paul Constantine Organizer: Eric Miller Organizer: Jeffrey W. Banks Colorado School of Mines, USA Tufts University, USA Rensselaer Polytechnic Institute, USA 2:25-2:45 An Approach to Big Data in 2:25-2:45 An Iterative Algorithm for 2:25-2:45 Half-Imex Time Integrators Inverse Problems Large-Scale Tikhonov Regularization for Large Scale Simulations of Ellen B. Le, Aaron Myers, and Tan Bui-Thanh, Julianne Chung, Virginia Tech, USA; Turbulent Incompressible Flows University of Texas at Austin, USA Katrina Palmer, Appalachian State Santiago Badia, Universitat Politecnica 2:50-3:10 Likelihood-Informed University, USA de Catalunya, Spain; Oriol Colomes, Dimension Reduction for Bayesian 2:50-3:10 The Arnoldi-Tikhonov International Center for Numerical Methods Inverse Problems Framework: Choice of Regularization in Engineering, Spain Tiangang Cui, Massachusetts Institute of Parameters and Matrices 2:50-3:10 Overview of Added- Technology, USA; James R. Martin, Silvia Gazzola, University of Padova, Italy; Mass Partitioned Algorithms for FSI University of Texas at Austin, USA; James G. Nagy, Emory University, USA; Simulations Youssef M. Marzouk, Massachusetts Paolo Novatti, University of Padova, Italy William Henshaw, Rensselaer Polytechnic Institute of Technology, USA; Antti Solonen, Lappeenranta University of Technology, 3:15-3:35 Flexible Krylov Subspace Institute, USA Finland; Alessio Spantini, Massachusetts Methods for Shifted Systems with 3:15-3:35 Overcoming the Added Institute of Technology, USA; Luis Tenorio, Multiple Right Hand Sides Mass Instability for Coupling Colorado School of Mines, USA Tania Bakhos, Stanford University, USA; Incompressible Flows and Elastic Arvind Saibaba, Tufts University, USA; Beams 3:15-3:35 Parameter Selection Peter K. Kitanidis, Stanford University, Longfei Li, Rensselaer Polytechnic Institute, Techniques for Disease Models USA USA Jared Cook, Asbury University, USA; Nicholas Myers, University of Wisconsin, Milwaukee, 3:40-4:00 Unbiased Predictive Risk 3:40-4:00 Partitioned Algorithms USA; Nina Ning, George Washington and Discrepancy Principles Applied for FSI Problems Involving Elastic University, USA; Mami Wentworth and for LSQR Solutions of Ill-posed Least Solids Coupled to Compressible and Squares Ralph C. Smith, North Carolina State Incompressible Fluids University, USA Rosemary A. Renaut, Arizona State Donald W. Schwendeman, Rensselaer University, USA Polytechnic Institute, USA 3:40-4:00 Active Subspaces for the Design of Supersonic Low-Boom Aircraft Trent W. Lukaczyk, Juan J. Alonso, and Francisco Palacios, Stanford University, USA 40 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS34 MS35 MS36 Advances in Algorithms for Matrix-Free Methods for Embedded Boundary and Uncertainty Quantification Large-Scale Optimization Interface Techniques - in Large-scale Inverse with Applications Part II of II Problems - Part II of III 2:25 PM-4:05 PM 2:25 PM-3:40 PM 2:25 PM-4:05 PM Room:250 F Room:251 A Room:250 E For Part 1 see MS9 For Part 1 see MS10 For Part 1 see MS8 Many applications can be formulated as Many problems in science and engineering For Part 3 see MS59 large-scale optimization problems, including are modeled by partial differential equations Quantification of uncertainty in large- inverse problems, medical and seismic (PDEs) in domains with irregular geometry scale inverse problems governed by partial imaging, classification in machine learning, and/or with interfaces. Development of differential equations presents significant data assimilation in weather prediction, and special algorithms are required to restore challenges due to computationally expensive matrix decompositions. For all of them, the accuracy of the numerical schemes near parameter-to-observable maps and high- explicit modeling is prohibitive and matrix- arbitrary boundaries/or interfaces. Recently, dimensional parameter spaces. This free methods are essential for competitive much of the progress has been made for minisymposium presents recent advances performance. First-order methods have proven designing highly accurate and efficient in algorithms that make UQ for large-scale widely successful in recent years. However, numerical methods for such problems linear and nonlinear inverse problems recent developments suggest that matrix-free which employ only simple Cartesian tractable by exploiting problem structure. second-order methods, such as interior-point grids. Developments and applications of methods, can be competitive. The goal of the XFEM, Immersed Interface Methods and Organizer: Georg Stadler minisymposium is to explore those ideas, Difference Potentials Methods, as well as Courant Institute of Mathematical Sciences, compare to first-order methods, and promote open questions in the field will be discussed New York University, USA further research and collaboration between in details. Organizer: George Biros the optimization and applied communities in Organizer: Yekaterina Epshteyn developing large-scale matrix-free methods. University of Texas at Austin, USA University of Utah, USA Organizer: Dominique Orban Organizer: Omar Ghattas Organizer: Gunilla Kreiss École Polytechnique de Montréal, Canada University of Texas at Austin, USA Uppsala University, Sweden Organizer: Aleksandr Aravkin Organizer: Youssef M. Marzouk 2:25-2:45 A Fourth Order Accurate IBM T.J. Watson Research Center, USA Massachusetts Institute of Technology, USA Embedded Boundary Method for the 2:25-2:45 Matrix Free Quadratic- Wave Equation in Second Order Form 2:25-2:45 An Empirical Objective penalty Methods for PDE-constrained Daniel Appelo, University of New Mexico, Bayes Method for Large Inverse Optimization USA Problems Bas Peters and Felix J. Herrmann, University Peter K. Kitanidis, Stanford University, 2:50-3:10 High-Order Numerical of British Columbia, Canada USA Methods for Elliptic Interface 2:50-3:10 Matrix-Free Solvers for Robust Problems 2:50-3:10 Applying UQ Approaches PCA and Distance Matrix Completion Michael Medvinsky and Yekaterina Epshteyn, to Random Ordinary Differential University of Utah, USA; Semyon V. Equations Stephen Becker, University of Colorado Boulder, USA; Aleksandr Aravkin and Tsynkov, North Carolina State University, Tobias Neckel, Hans-Joachim Bungartz, and Aurelie Lozano, IBM T.J. Watson Research USA; Eli Turkel, Tel Aviv University, Alfredo Parra, Technische Universität Center, USA Israel München, Germany 3:15-3:35 Compressing Clustered Data 3:15-3:35 A Nitsche Stabilized 3:15-3:35 Goal-Oriented Model using Sparse NMF Fictitious Domain Finite Element Adaptivity for Inference Michael A. Saunders and San Kim, Stanford Method for the Wave Equation Vikram Garg, University of Texas at Austin, University, USA Simon Sticko and Gunilla Kreiss, Uppsala USA; Harriet Li and Karen E. Willcox, University, Sweden Massachusetts Institute of Technology, 3:40-4:00 Dimensionality Reduction USA and Uncertainty Quantification for Inverse Problems 3:40-4:00 Sparse Grid and Reduced Tristan van Leeuwen Basis Approximation of Bayesian , Utrecht University, The Inverse Problems Netherlands Peng Chen and Christoph Schwab, ETH Zürich, Switzerland 2015 SIAM Conference on Computational Science and Engineering 41

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS37 MS38 MS39 Physics-compatible Innovative Algorithms for AWM Workshop - Career Discretization on Eigenvalue and Singular Development: Celebrating Multiphysics Systems and Value Decomposition - Firsts - Panel and Efficient Multilevel Solvers - Part II of III Roundtable Part II of II 2:25 PM-4:05 PM 2:25 PM-4:05 PM 2:25 PM-4:05 PM Room:251 C Room:251 D Room:251 B For Part 1 see MS12 For Part 1 see MS13 For Part 1 see MS11 For Part 3 see MS63 Sponsored by Association for Women in Design of the appropriate discretization The minisymposium will focuses on the first Mathematics (AWM) for the PDE systems can oftentimes be steps taken on the development of novel Minisymposium speakers and panelists done by taking into account the detailed software methodologies and algorithm for will provide an overview of challenges characteristics of the PDE models in relation the next generation of HPC systems. Some and strategies for success as firsts in their to the underlying Physics. In many cases, scale challenges will be addressed; the goal respective field, career path, or organization. efficient multilevel iterative solvers can be is to close the “application-architecture We will discuss how to approach the developed based on such discretization. peak performance gap” by exploring obstacles women mathematicians and Therefore, such discretization is typically algorithms and runtime improvements that scientist face when encountering first- solver-friendly. The minisymposium is to will enable key science applications to time career and career-related life events, disseminate the state-of-art developments better exploit the architectural features of including: obtaining your first position, in physics-compatible discretization on the extreme-scale systems. The contributed tenure track, work-life balance, funding, and multi-physics systems and the corresponding talks will cover new approaches that can post-tenure success. Topical discussions will efficient multilevel solvers. overcome the limitations of existing dense/ be led by panelists. sparse eigensolver libraries on platforms Organizer: Yunrong Zhu that require fine granularity and memory- Organizer: Elebeoba May Idaho State University, USA aware computational tasks combined with University of Houston, USA Organizer: Young-Ju Lee asynchronism in parallel execution. Organizer: Hoa Nguyen Texas State University, USA Organizer: Azzam Haidar Trinity University, USA 2:25-2:45 Solver for Structure- University of Tennessee, Knoxville, USA Organizer: Yekaterina Epshteyn Preserving Discretization of Organizer: Piotr Luszczek University of Utah, USA Incompressible MHD Equations University of Tennessee, Knoxville, USA Speakers To Be Announced Yicong Ma, Pennsylvania State University, USA; Xiaozhe Hu, Tufts University, USA; Organizer: Stanimire Tomov Jinchao Xu, Pennsylvania State University, University of Tennessee, Knoxville, USA USA 2:25-2:45 A Parallel Multishift QZ 2:50-3:10 Modeling and Numerical Algorithm with Aggressive Early Studies for Fluid-Structure Interactions Deflation for Distributed Memory HPC Pengtao Sun, University of Nevada, Las Systems Vegas, USA Björn Adlerborn and Bo T. Kågström, Umeå University, Sweden; Daniel Kressner, 3:15-3:35 Cascadic Multilevel for EPFL, Switzerland Saddle Point Least-Squares Methods Constantin Bacuta, University of Delaware, 2:50-3:10 Algorithms for Hessenberg- USA Triangular Reduction in Parallel Björn Adlerborn, Lars Karlsson, and Bo T. 3:40-4:00 Multigrid Method for Linear Kågström, Umeå University, Sweden Elasticity with Weakly Imposed Symmetry 3:15-3:35 Avoiding Communication in Young Ju Lee, Texas State University, USA Distributed-Memory Tridiagonalization Grey Ballard, Sandia National Laboratories, USA; James W. Demmel, Nicholas Knight, and Edgar Solomonik, University of California, Berkeley, USA 3:40-4:00 Performance Evaluation of Sparse Matrix-Vector Multiplication Using GPU/MIC Cluster Hiroshi Maeda and Daisuke Takahashi, University of Tsukuba, Japan 42 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS40 MS41 MS42 NSF-SIAM Symposium Volume Penalty and Fourier Theory, Computation and on Mathematical and Methods for PDEs on Experiments in Biofluids - Computational Aspects of Irregular Domains - Part II of II Materials Science - Part I of II 2:25 PM-4:05 PM Part II of III 2:25 PM-3:40 PM Room:254 A 2:25 PM-4:05 PM Room:251 F For Part 1 see MS16 Over the last two decades the study of Room:251 E For Part 2 see MS66 systemic biofluids and their interactions Volume penalty methods allow one to extend For Part 1 see MS14 with engineering therapeutics and the domain that a partial differential equation For Part 3 see MS65 implants has rapidly developed into an is defined on (ie. an irregular geometry) to The materials science community interdisciplinary approach of utilizing that of a simple rectangular domain through has embarked on various large-scale Mathematics, Bioengineering, Biomedical, the addition of a volume penalty, forcing computational projects. We mention the and the Biological Sciences to address term. The resulting penalized equations then materials genome project---a broad survey the complexities and challenges of this provide a flexible and efficient framework of thousands of materials---and several deep- field. Eight speakers in this two part for solving (moving) interface and boundary mining projects of a few selected materials. minisymposium will present their research problems via a solution using I) equispaced These projects offer interesting opportunities spanning mathematical analysis, algorithm grids, ii) Nonconforming FEM, iii) Fourier for mathematical and computational scientists development, complex simulations of methods. This minisymposium brings to advance the state of the art in materials biological systems and coordination between together mathematicians and practitioners research by developing mathematical models, modeling and experiments. The diversity of to discuss both theoretical aspects such as computational algorithms, and tools for data these presentations shows the importance convergence rates and stability, as well as analysis. The Division of Materials Research of interdisciplinary research on systemic applications and simulations of physical (DMR) and Division of Mathematical biofluids to understand its wide range of phenomena. Sciences (DMS) of the National Science domains from basic processes of fluid Foundation are encouraging collaborations Organizer: David Shirokoff dynamics to technological applications. of mathematicians and materials scientists New Jersey Institute of Technology, USA through several mechanisms (MSII, DMREF, Organizer: Hoa Nguyen etc.). The speakers in this symposium will 2:25-2:45 A New Penalization Method Trinity University, USA for the Shallow Water Equations with will highlight opportunities for joint research Organizer: John Carrola projects. Applications to Global Ocean Flow Nicholas Kevlahan, McMaster University, Southwest Research Institute, USA Organizer: Hans G. Kaper Canada 2:25-2:45 The Effect of Curved or Argonne National Laboratory and 2:50-3:10 Imposing Dirichlet and Flat Edges Microchannels on Vortex Georgetown University, USA Neumann Conditions in Fourier Entrapment of Particles as seen in 2:25-2:45 Structural Optimization and Pseudospectral Methods Using Lattice-Boltzmann Simulations 3D Printing Volume Penalization John Carrola and Hakan Basagaoglu, Robert V. Kohn, Courant Institute of Kai Schneider, Aix-Marseille Université, Southwest Research Institute, USA Mathematical Sciences, New York France 2:50-3:10 Scaffold-free Three- University, USA 3:15-3:35 High-Order Fourier-Penalty dimensional Hepatocyte Assembly for 2:50-3:10 DNA-Functionalized Methods for PDEs on Irregular Liver Tissue Engineering Nanoparticle Assembly and Domains Utkan Demirci and Pu Chen, Stanford Crystallization David Shirokoff, New Jersey Institute of University, USA Monica Olvera De La Cruz, Northwestern Technology, USA 3:15-3:35 Brownian Motion of University, USA Arbitrarily Shaped Particles Confined 3:15-3:35 Mathematical Challenges in Two-Dimensions in Nonequilibrium Approaches to Qi-Huo Wei, Kent State University, USA Amorphous Solids: Quantifying 3:40-4:00 Designing Self-Propelling Disorder, Predicting Plasticity, Microgel Swimmer Accelerating Simulation Alexander Alexeev, Svetoslav Nikolov, and Michael Falk, Johns Hopkins University, Peter Yeh, Georgia Institute of Technology, USA USA 3:40-4:00 Integrating Mathematical Modeling and Computer Simulation with Experimental Synthesis and Characterization of Materials Long-qing Chen, Pennsylvania State University, USA 2015 SIAM Conference on Computational Science and Engineering 43

Saturday, March 14 3:15-3:35 Optimization of Saturday, March 14 Preconditioned Iterative Linear Solvers MS43 Using Openmp/openacc on Gpu and MS44 Mic Parallel Programming Satoshi Ohshima, Masaharu Matsumoto, Advanced Algorithms Models, Algorithms and Takahiro Katagiri, Toshihiro Hanawa, and in Computational Kengo Nakajima, University of Tokyo, Electromagnetics - Frameworks for Extreme Japan Computing - Part II of III Part II of II 3:40-4:00 A Kokkos Implementation 2:25 PM-4:05 PM of Albany: A Performance Portable 2:25 PM-4:05 PM Multiphysics Simulation Code Room:254 B Room:254 C Irina Demeshko, H. Carter Edwards, Michael For Part 1 see MS17 Heroux, Roger P. Pawlowski, Eric Phipps, For Part 1 see MS18 For Part 3 see MS68 and Andrew Salinger, Sandia National The minisymposium focuses on advanced Multicore/manycore processors and Laboratories, USA numerical algorithms and high performance accelerators are universally available simulations for electromagnetic systems, as both collections of homogeneous including photonics crystals, plasmonics, standard microprocessors and as attached solar cells, and quantum electronic devices. heterogeneous co-processors. Application Main topics include high-order PDE/ODE and library software developers may often discretizations, Green function, integral effectively use these processors and some equation, boundary element method, general approaches have emerged. It is and density matrix approaches. Scalable widely recognized that careful design of algorithms and efficient preconditioning software and data structures, with effective strategies are also discussed for solving memory management, are the most large-scale systems on the advanced critical issues to obtain scalable optimized computing platforms. performance on those systems. In these Organizer: David P. Nicholls minisymposia we discuss current experiences University of Illinois, Chicago, USA and development of applications, libraries and frameworks using a variety of hardware. Organizer: MiSun Min Speakers will address performance results Argonne National Laboratory, USA and software design. 2:25-2:45 Resonances of a Finite One- Organizer: Kengo Nakajima Dimensional Photonic Crystal with a University of Tokyo, Japan Defect Fadil Santosa, University of Minnesota, Organizer: Michael Heroux USA Sandia National Laboratories, USA 2:50-3:10 Electromagnetic Field Organizer: Serge G. Petiton Enhancement for Metallic Nano-gaps CNRS/LIFL and INRIA, France Junshan Lin, Auburn University, USA 2:25-2:45 OCCA: An Extensible 3:15-3:35 An Efficient Spectral Portability Layer for Many-Core Element Helmholtz Solver with an Programming Accurate Treatment for Transparent Tim Warburton and David Medina, Rice Boundary Condition for Periodic Lossy University, USA; Amik St-Cyr, Shell Media International Exploration & Production Ying He, University of California, Davis, B.V., Netherlands USA 2:50-3:10 Evaluations of Directive 3:40-4:00 A High Order Perturbation Based Programming Model for GPUs of Surfaces Method for Simulating and Extensions for Performance Surface Plasmons on Periodic Portability Gratings Tetsuya Hoshino, Tokyo Institute of David P. Nicholls, University of Illinois, Technology, Japan; Naoya Maruyama, Chicago, USA RIKEN, Japan; Satoshi Matsuoka, Tokyo Institute of Technology, Japan

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Saturday, March 14 2:50-3:10 Particle-Particle, Particle- Saturday, March 14 Mesh Methods for Electromagnetic MS45 Problems MS46 Computational Methods Andrew J. Christlieb and Eric Wolf, Michigan State University, USA Advances in Large-scale for Kinetic Equations and 3:15-3:35 Uncertainty Quantification Forward and Inverse Ice Related Models - Part II of V in Kinetic Theory Sheet Modeling - Part I of II 2:25 PM-4:05 PM Shi Jin, Shanghai Jiao Tong University, 2:25 PM-4:05 PM China, and the University of Wisconsin- Room:150 AB Madison, USA; Dongbin Xiu and Xueyu Room:150 DE For Part 1 see MS19 Zhu, University of Utah, USA For Part 2 see MS71 For Part 3 see MS70 3:40-4:00 Stochastic Galerkin Model-based projections of the dynamics Kinetic descriptions play an important role Method for Hamilton-Jacobi of the polar ice sheets play a central role in in a variety of physical, biological, and even Equations with Uncertainty anticipating future sea level rise. However, a social applications. Unfortunately, the large Jingwei Hu, Purdue University, USA; Shi number of mathematical and computational phase space associated with the kinetic Jin, Shanghai Jiao Tong University, challenges place significant barriers on description has in the past made simulations China, and the University of Wisconsin- improving predictability of these models. impractical in most settings. However, Madison, USA; Dongbin Xiu, University These include complex and very high-aspect recent advances in computer resources and of Utah, USA ratio geometries, highly nonlinear and numerical algorithms are making kinetic anisotropic rheology, extremely ill-conditioned models more tractable, and this trend is (non)linear systems, broad range of length expected to continue in the future. The scales, and unknown model parameters purpose of this minisymposium is to report that must be inferred from heterogeneous on the continuing progress on numerical observations, leading to an ill-posed inverse analysis and computational science for problem and the need to quantify uncertainties kinetic equations. It brings together in its solution. Speakers in this minisymposium researchers from applied mathematics, will address these challenges and present computational science, physics, and recent developments aimed at overcoming engineering communities to discuss their them. work and exchange ideas. Organizer: Noemi Petra Organizer: Martin Frank University of California, Merced, USA RWTH - Aachen University of Technology, Germany Organizer: Omar Ghattas University of Texas at Austin, USA Organizer: Cory Hauck Oak Ridge National Laboratory, USA Organizer: Irina Kalashnikova Sandia National Laboratories, USA Organizer: Ryan G. McClarren Texas A&M University, USA Organizer: Georg Stadler Courant Institute of Mathematical Sciences, Organizer: Jingmei Qiu New York University, USA University of Houston, USA 2:25-2:45 Improving Grounding Line Organizer: Jeffrey A. Willert Discretization using an Embedded- Los Alamos National Laboratory, USA Boundary Approach in BISICLES 2:25-2:45 Performance of Parallel Daniel Martin, Peter O. Schwartz, and Algorithms for Particle Transport on Esmond G. Ng, Lawrence Berkeley National Massively Parallel Architectures Laboratory, USA Marvin L. Adams, Michael Adams, W. 2:50-3:10 On the Development and Daryl Hawkins, Timmie Smith, Lawrence Performance of a First Order Stokes Rauchwerger, and Nancy Amato, Texas Finite Element Ice Sheet Dynamical A&M University, USA; Teresa S. Bailey Core Built Using Trilinos Software and Robert Falgout, Lawrence Livermore Components National Laboratory, USA Irina Kalashnikova, Andrew Salinger, Mauro Perego, and Ray S. Tuminaro, Sandia National Laboratories, USA

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3:15-3:35 A Finite Element Three- Saturday, March 14 Saturday, March 14 Dimensional Stokes Ice Sheet Dynamics Model with Enhanced Local MS47 MS48 Mass Conservation Career Fair: Alternatives to Wei Leng, Chinese Academy of Sciences, Efficient and Accurate China; Lili Ju, University of South Academia - Part II of III Solution Techniques for Carolina, USA; Max Gunzburger, Florida 2:25 PM-4:05 PM Variable Coefficient Elliptic State University, USA Room:255 Partial Differential Equations - 3:40-4:00 Testing the Multilayer Part I of II Shallow Shelf Approximation Against For Part 1 see MS21 Higher-order Models For Part 3 see MS72 2:25 PM-4:05 PM The career fair will feature representatives Guillaume Jouvet, ETH Zürich, Switzerland from nonacademic employers from industry Room:260 A and government. These representatives will be For Part 2 see MS73 prepared to discuss with you the opportunities Efficient and accurate numerical methods for for internships, postdoctoral appointments and solving variable coefficient partial differential full-time jobs at their organizations. equations are important for many applications Organizer: William G. Kolata such as seismic imaging and metamaterial SIAM, USA design. A variety of techniques including finite element, discontinuous Galerkin, and Organizer: Kristin O’Neill integral equation methods have been developed SIAM, USA to tackled these challenging problems. This This is the most current list at time fo session brings together researchers from a printing. broad range of research communities in an • Argonne National Laboratory effort to build an understanding of the different • Boeing techniques and open problems in the field. • Hewlett-Packard Laboratories Organizer: Adrianna Gillman • Kitware Rice University, USA • Lawrence Berkeley National Laboratory Organizer: Lise-Marie Imbert-Gérard • Lawrence Livermore National Courant Institute of Mathematical Sciences, Laboratory New York University, USA • MathWorks 2:25-2:45 Yee Scheme Coupled with • MIT Lincoln Laboratory Linear Current in Magnetic Plasmas with • National Institute of Standards & Varying Coefficients Technology Bruno Despres, University of Paris VI, France; • NSA Martin Campos Pinto and Stéphane Heuraux, • NVIDIA CNRS, France; Filipe da Silva, Instituto Superior Tecnico, Portugal • Oak Ridge National Laboratory 2:50-3:10 Discontinuous Enrichment • Quantlab Method for Problems with Variable The most current list of participating Coefficients companies is available at www.siam. Radek Tezaur and Charbel Farhat, Stanford org/meetings/cse15/career.php. University, USA; Irina Kalashnikova, Sandia National Laboratories, USA 3:15-3:35 Approximation of Degenerate Elliptic Equations with Muckenhoupt Coefficients: a priori and a posteriori Analyses and Efficient Solvers Abner J. Salgado, University of Tennessee, USA 3:40-4:00 Application of a Speed Up Fast Direct Solver for the Solution of the Lippmann-Schwinger Equation Carlos C. Borges, Lise-Marie Imbert-Gerard, and Sivaram Ambikasaran, Courant Institute of Mathematical Sciences, New York University, USA; Leslie Greengard, Simons Foundation and Courant Institute of Mathematical Sciences, New York University, USA 46 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS49 MS50 MS51 Recent Developments of Advances in Radial Challenges in DG/WENO Methods for Basis Function and Other Computational Cardiac Partial Differential Equations Meshfree Methods - Electrophysiology - - Part II of II Part II of V Part II of II 2:25 PM-4:05 PM 2:25 PM-4:05 PM 2:25 PM-4:05 PM Room:260B Room:151 AB Room:151 G For Part 1 see MS23 For Part 1 see MS24 For Part 1 see MS26 This minisymposium is to bring people For Part 3 see MS75 The use of computer simulation to model together to discuss the recent advances and Meshfree methods have many inherent cardiac electrophysiology, from the cellular exchange ideas in the algorithm design of properties that make them useful for level to the whole-organ, has the potential discontinuous Galerkin (DG) method and a variety of problems in science and to revolutionise mechanistic understanding, weighted essentially nonoscillatory (WENO) engineering, from fitting data to numerically diagnosis and treatment of arrhythmias. method, including the implementation, solving differential equations. Such methods These models are often complex and numerical analysis of those high-order offer geometric flexibility, non-uniform computationally demanding, and integrating numerical methods for solving partial resolution, and advantageous trade-offs the available electrical and imaging data differential equations. In the minisymposium, between accuracy and computational costs. with its inherent uncertainty makes direct the speakers will apply those high-order This minisymposium focuses primarily on clinical utility particularly challenging. numerical methods to computational fluid, methods based on radial basis functions and This minisymposium highlights the latest biology and physics, etc. This minisymposium other more general kernels. The talks will advancements and new approaches to is a good opportunity for people to discuss address recent advances in the application modelling cardiac electrophysiology across with researchers from different areas, and of these methods to large-scale problems in multiple scales, including imaging and data explore more applications and future research biology, geophysics, image processing, and integration, which will pave the way for collaborations. finance, as well as theoretical advances in developing clinically tractable simulation the methods themselves. environments to aid patient treatment in the Organizer: Juan Cheng future. Institute of Applied Physics and Computational Organizer: Varun Shankar Mathematics, China University of Utah, USA Organizer: Chris Cantwell Imperial College London, United Kingdom Organizer: Yang Yang Organizer: Grady B. Wright Michigan Technological University, USA Boise State University, USA Organizer: Frank B. Sachse University of Utah, USA 2:25-2:45 Runge-Kutta Discontinuous 2:25-2:45 Quadrature on Spheres and Galerkin Methods for the Relativistic Other Manifolds Based on Kernels Organizer: Richard Clayton Vlasov-Maxwell System Joseph Ward, Texas A&M University, USA University of Sheffield, United Kingdom He Yang and Fengyan Li, Rensselaer 2:50-3:10 Solving PDEs on the Sphere 2:25-2:45 Multi-Scale Modeling in Polytechnic Institute, USA via Novel Galerkin Method using Cardiac Electrophysiology: What Are 2:50-3:10 Superconvergence of Highly Localized Kernel Bases the Challenges in Front of Us? Discontinuous Galerkin Methods for Francis J. Narcowich, Joseph Ward, and Zhilin Qu, University of California, Los Hyperbolic Equations in Two Space Stephen Rowe, Texas A&M University, Angeles, USA USA Dimensions 2:50-3:10 Three-Dimensional Waixiang Cao, Beijing Computational Science 3:15-3:35 Compact Scattered RBF-FD Modeling of Ca2+ Signaling in Research Center, China; Yang Yang, Stencils for PDEs on Surfaces Healthy and Failing Cardiomyocytes Michigan Technological University, USA; Erik Lehto, Royal Institute of Technology, Peter Kekenes-Huskey, University of Zhimin Zhang, Wayne State University, Stockholm, Sweden; Varun Shankar, Kentucky, USA USA; Chi-Wang Shu, Brown University, University of Utah, USA; Grady B. USA Wright, Boise State University, USA 3:15-3:35 A Simple DG Scheme for 3:40-4:00 A Least Squares-RBF Acoustic Wave Equations with Curved Approach to Transport Problems on Interfaces and Boundaries Surfaces Xiangxiong Zhang, Purdue University, USA Daryl J. Springer, Arizona State University, 3:40-4:00 Runge-Kutta Discontinuous USA Galerkin Method with a Simple and Compact Hermit Weno Limiter Jun Zhu, Nanjing University of Aeronautics and Astronautics, China; Xinghui Zhong, Michigan State University, USA; Chi-Wang continued on next page Shu, Brown University, USA; Jianxian Qiu, Xiamen University, China 2015 SIAM Conference on Computational Science and Engineering 47

3:15-3:35 High-Order Finite Saturday, March 14 Saturday, March 14 Element Methods for Cardiac Electrophysiology MS52 MS53 Chris Cantwell, Imperial College London, United Kingdom; Sergey B. Yakovlev, Featured Minisymposium: Data-methods for Complex University of Utah, USA; Rheeda Ali and Modeling and Computing Systems - Part III of III Nicholas Peters, Imperial College London, Complex Flows United Kingdom; Mike Kirby, University 4:35 PM-6:15 PM of Utah, USA; Spencer Sherwin, Imperial 4:35 PM-6:15 PM Room:355 A College London, United Kingdom Room:355 For Part 2 see MS28 3:40-4:00 Assessing the Credibility of Computation of unsteady multifluid flows Data-driven methods are transforming Computational Models of Cardiac is one of the more challenging problems the engineering, physical and biological Electrophysiology in computational science. Nevertheless, sciences. Indeed, innovative uses of machine Pras Pathmanathan and Richard Gray, U.S. considerable progress has been made in the learning, dimensionality reduction, sparse Food and Drug Administration, USA development of numerical methods to follow sensing, and/or network characterization the convoluted motion of complex interfaces techniques are allowing for significant separating different fluid phases, for a advances in engineering designs for broad range of governing parameters. These the prediction and control of highly Coffee Break successes are making it possible to pursue complex, often networked, systems. This 4:05 PM-4:35 PM even more advanced problems, including minisymposium brings together experts additional physics and even large range of who are integrating together one or more of Room:255 scales, as well as making it urgent to develop the aforementioned methodologies with the sophisticated models that take advance of goal of providing transformative analytic the new data. In this minisymposium we will tools and algorithms for characterizing the explore the state of the art and discuss future underlying, low-dimensional, dynamics of challenges. the complex system. Organizer: Gretar Tryggvason Organizer: J. Nathan Kutz University of Notre Dame, USA University of Washington, USA 4:35-4:55 Direct Numerical Organizer: Steven Brunton Simulations of Multiphase Flow: Now University of Washington, USA What? Organizer: Joshua Proctor Gretar Tryggvason, University of Notre Institute for Disease Modeling, USA Dame, USA 4:35-4:55 Discovering Underlying 5:00-5:20 Modeling and Simulation of Nonlinear Dynamics of Complex Multimaterial Compressible Flows Systems from Data Marianne M. Francois, Los Alamos National Steven Brunton, University of Washington, Laboratory, USA USA 5:25-5:45 Methods for Computing 5:00-5:20 Common Manifold Learning Turbulent Phase Interface Dynamics Using Alternating Diffusion for Across Multiple Scales Multimodal Signal Processing Marcus Herrmann, Arizona State University, Ronald Coifman and Roy Lederman, Yale USA University, USA; Ronen Talmon, Technion 5:50-6:10 Conservative and Accurate Israel Institute of Technology, Israel Geometric Transport Methods for 5:25-5:45 Title Not Available at Time Discontinuous Variables in Turbulent of Publication Multi-physics Two-phase Flows Surya Ganguli, Stanford University, USA Olivier Desjardins, Cornell University, USA 5:50-6:10 Data-Driven Model Reduction to Support Decision Making in Complex Systems Karen E. Willcox, Massachusetts Institute of Technology, USA 48 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS54 MS55 MS56 Computationally Intensive Adaptive Model Order Efficient Methods for Signature Discovery Reduction - Part III of III Uncertainty Quantification 4:35 PM-6:15 PM 4:35 PM-6:15 PM by Means of Tensor Format Representations Room:355 D Room:250 A A signature is a unique or distinguishing For Part 2 see MS30 4:35 PM-6:15 PM measurement, pattern, or collection of Classical model reduction follows a static Room:250 B data that predicts, detects, or identifies a approach where the reduced-order model In this minisymposium we introduce new phenomenon of interest. Signature discovery is built once in the offline phase and then effective tensor methods for quantification of challenges are commonplace in numerous remains unchanged in the online phase. uncertainties, analysis of high dimensional domains, and they typically involve the Adaptive model reduction breaks with this data, which may come from, e.g. stochastic following steps: hypothesis generation, rigid splitting and adapts the reduced order or multi- parametric PDEs. Tensor format identifying observables, specifying the model online. Such adaptive techniques representations can be used for fast (with measurement technique, data collection, include localization approaches, where one almost linear complexity) computing different storage, and manipulation, feature extraction, of several pre-computed local models is statistics and values of interest, such as classification, and validation. The process selected depending on the current state of mean, covariance, exceedance probabilities, often requires complex computational the system; dictionary approaches, where the confidence intervals, sensitivity indices and tools and methods for data processing and reduced basis is assembled on demand from cumulative distribution function. A very analysis. In this session, we will provide pre-computed basis vectors; and updating important issue to discuss is inexact recursive an overview of signature discovery, discuss methods, which incorporate new data or iteration schemes as well as tensor rank relevant mathematical and computational other information in the reduced-order truncation. A special attention will be devoted tools, and examine signature applications model. to the non-intrusive implementation of tensor in medical imaging, insect neurology, and Organizer: Benjamin Peherstorfer methods for uncertainty quantification. social/organizational networks. Massachusetts Institute of Technology, USA Organizer: Alexander Litvinenko Organizer: Landon H. Sego Organizer: David Amsallem King Abdullah University of Science & Pacific Northwest National Laboratory, USA Stanford University, USA Technology (KAUST), Saudi Arabia 4:35-4:55 Computational Tools and 4:35-4:55 Numerical Study of Local Methods for Signature Discovery Organizer: Mike Espig Reduced Basis with Adaptive Training RWTH - Aachen University of Technology, (Session Overview) for Incompressible Navier-Stokes Germany Landon H. Sego, Pacific Northwest National Flows Laboratory, USA Yuqi Wu and Ulrich Hetmaniuk, University Organizer: Hermann Matthies 5:00-5:20 Statistics, Learning, and of Washington, USA TU Braunschweig, Germany Optimization for Data Analysis and 5:00-5:20 Real-Time Data-to-Decision 4:35-4:55 Tensor Format Visualization Using Adaptive Surrogate Modeling Representations and Optimal Model Ross Whitaker, University of Utah, USA Strategies Reduction for Uncertainty Quantication 5:25-5:45 Computational Analysis Laura Mainini and Karen E. Willcox, Mike Espig, RWTH - Aachen University of of Ensemble Neural Data Recorded Massachusetts Institute of Technology, Technology, Germany From An Insect Brain USA 5:00-5:20 High-Dimensional Tensor Debajit Saha, Chao Li, and Barani Raman, 5:25-5:45 An Occam’s Razor Strategy Sampling Washington University in St. Louis, USA for Field Estimation from Wall- Lars Grasedyck, RWTH - Aachen University 5:50-6:10 PhySense: Social and Mounted Sensors of Technology, Germany; Jonas Ballani, Organizational Network Activity Kevin Kasper, ENS Cachan, France; Lionel EPFL, France; Melanie Kluge, RWTH Simulation for Signature Generation Mathelin, CNRS, France; Mohamed Aachen University, Germany and Extraction Abbas-Turki and Hisham Abou-Kandil, 5:25-5:45 Novel Tensor-Product Vikram Jandhyala and Arun Sathanur, ENS Cachan, France Representations for Uncertaintiy University of Washington, USA 5:50-6:10 Thermal Reduced Order Quantification Model Adaptation to Aero-Thermo- Reinhold Schneider, Technische Universität Structural Interactions Berlin, Germany Andrew Matney and Marc P. Mignolet, 5:50-6:10 Hierarchical Tensor Arizona State University, USA Approximation of Parameter- Dependent PDEs Jonas Ballani, EPFL, France; Lars Grasedyck, RWTH - Aachen University of Technology, Germany; Daniel Kressner, EPFL, Switzerland 2015 SIAM Conference on Computational Science and Engineering 49

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS57 MS58 MS59 Computational Techniques Active Subspaces for Advances in Algorithms for for Time Dependent Dimension Reduction: Uncertainty Quantification Coupled Multiphysics and Theory and Applications - in Large-scale Inverse Multiscale Problems - Part III of III Problems - Part III of III Part III of III 4:35 PM-6:15 PM 4:35 PM-6:15 PM 4:35 PM-6:15 PM Room:250 D Room:250 E Room:250 C For Part 2 see MS33 For Part 2 see MS34 For Part 2 see MS32 Parameter studies like uncertainty Quantification of uncertainty in large- The simulation of multiphysics and multiscale quantification and optimization are infeasible scale inverse problems governed by partial systems is important for a wide range for complex simulations with more than differential equations presents significant of applications including fluid structure a handful of inputs. When a simulation challenges due to computationally expensive interaction and conjugate heat transfer. contains several inputs, the engineer may parameter-to-observable maps and high- Of particular interest is the formulation of seek an alternative parameterization with dimensional parameter spaces. This solvers built by reusing codes for the various fewer variables to enable such studies. Active minisymposium presents recent advances in subproblems for which it is common to use ad subspaces are an emerging set of tools for algorithms that make UQ for large-scale linear hoc coupling or time integration schemes. This dimension reduction in complex models. The and nonlinear inverse problems tractable by minisymposium discusses new and practical active subspace is a set of directions in the exploiting problem structure. approaches to advance the state of the art, and space of input variables that correspond to Organizer: George Biros greater change, on average, in a quantity of to help bridge the gap between researchers University of Texas at Austin, USA working in the various fields. Important aspects interest. This minisymposium will explore include time adaptivity, high order methods, (i) recent developments in algorithms that Organizer: Omar Ghattas multirate schemes, stability, extrapolation, exploit active subspaces and (ii) applications University of Texas at Austin, USA coupling conditions, and the overall solver from across engineering disciplines. Organizer: Youssef M. Marzouk performance. Organizer: Paul Constantine Massachusetts Institute of Technology, USA Organizer: Jeffrey W. Banks Colorado School of Mines, USA Organizer: Georg Stadler Rensselaer Polytechnic Institute, USA 4:35-4:55 Influence of Surface and Courant Institute of Mathematical Sciences, Organizer: Philipp Birken Subsurface Parameter Uncertainty New York University, USA and Sensitivity on the Latent Heat Lund University, Sweden Flux Using An Integrated Hydrologic 4:35-4:55 Mapped Stochastic Newton 4:35-4:55 Fluid-composit Structure Model Sampling Interaction Jennifer Jefferson and Reed M. Maxwell, Georg Stadler, Courant Institute of Suncica Canic, University of Houston, USA; Colorado School of Mines, USA Mathematical Sciences, New York Martina Bukac, University of Notre Dame, University, USA; Omar Ghattas, University 5:00-5:20 Dimension Reduction in USA; Boris Muha, University of Zagreb, of Texas at Austin, USA; Noemi Petra, MCMC using Active Subspaces Croatia University of California, Merced, USA Carson Kent and Paul Constantine, Colorado 5:00-5:20 Fractional Modeling of Brain School of Mines, USA 5:00-5:20 Operator Weighted MCMC Aneurysms on Function Spaces 5:25-5:45 Exploiting Active Subspaces Yue Yu, Lehigh University, USA; George E. Tiangang Cui, Massachusetts Institute of to Quantify Uncertainty in the Karniadakis, Brown University, USA Technology, USA; Kody Law, King Numerical Simulation of the HyShot II Abdullah University of Science & 5:25-5:45 A Tetrahedral Method Scramjet Technology (KAUST), Saudi Arabia; for Transient Nonlinear Dynamics Michael A. Emory and Gianluca Iaccarino, Youssef M. Marzouk, Massachusetts Computations in Solids, Fluids and Stanford University, USA; Johan Larsson, Institute of Technology, USA Coupled Fluid Structure Problems University of Maryland, USA Guglielmo Scovazzi and Xianyi Zeng, Duke 5:25-5:45 Regularising Ensemble 5:50-6:10 Discovering An Active University, USA; Brian Carnes and David Kalman Methods for PDE-Constrained Subspace in a Single-Diode Solar Hensinger, Sandia National Laboratories, Inverse Problems Cell Model USA Marco Iglesias, University of Nottingham, Mark Campanelli, National Renewable United Kingdom 5:50-6:10 Second Order Embedded Energy Laboratory, USA; Brian 5:50-6:10 Estimation of Parameters of Boundary Methods for Fluid-Structure Zaharatos, Colorado School of Mines, Chaotic Dynamic Systems Interaction USA Alex Main and Charbel Farhat, Stanford Heikki Haario, Lappeenranta University of University, USA Technology, Finland 50 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS60 MS61 MS62 Surrogate Global and Recent Advances in Theory Implementation Integer Optimization for Nuclear Quantum Many- and Applications of HDG Computationally Expensive body Computation Methods - Part I of II Simulations 4:35 PM-6:15 PM 4:35 PM-5:50 PM 4:35 PM-6:15 PM Room:251 A Room:251 B Room:250 F The nuclear quantum many-body problem is For Part 2 see MS87 a fundamental problem in nuclear physics. In this minisymposium, we will discuss the Optimization applications in STEM Hurdles in solving this problem include latest advancements related to the hybrid disciplines often require evaluating a a very strong interaction, three-nucleon discontinuous Galerkin (HDG) method. computationally expensive simulation-based interactions, and complicated collective HDG applies a static condensation technique objective function (several minutes to hours/ motion dynamics. In recent years, significant within the DG framework, so that the only simulation). An analytical description of the progress has been made to overcome these globally coupled degrees of freedom are objective function, its derivatives, and the difficulties. In particular, the configuration those located on the mesh skeleton or trace number of local minima are not available interaction (CI) method, which requires space, greatly reducing the global system (black-box) and can thus not be exploited solving a large-scale eigenvalue problem, size. The method is also promising for its by the optimization algorithm. Surrogate has become very efficient on modern high applicability to current and emerging parallel models have been developed for continuous performance computers. New optimization architectures. The HDG method has proven optimization to cheaply approximate the algorithms have been developed to fine to be a popular method and has been applied objective function and efficiently find the tune model parameters and to extrapolate to a variety of problems such as, steady-state global minimum. However, few surrogate computational results. These new techniques diffusion, Maxwell’s equations, convection- model algorithms exist that are able to will be described and discussed in this diffusion problems, elastodynamics, Stokes address the following: integer variables, minisymposium. and incompressible Navier-Stokes equations. incorporation of partial information, and/or efficient parallel computation, all of which Organizer: Meiyue Shao Organizer: Hari Sundar will be discussed in this minisymposium. Lawrence Berkeley National Laboratory, University of Utah, USA Organizer: Juliane Mueller USA Organizer: Tan Bui-Thanh Lawrence Berkeley National Laboratory, 4:35-4:55 Add, Multiply, Divide and University of Texas at Austin, USA Conquer: On-the-fly Algorithms for USA Organizer: Cuong Nguyen Many-body Calculations Organizer: David Bindel Massachusetts Institute of Technology, USA Calvin W. Johnson, San Diego State Cornell University, USA University, USA 4:35-4:55 Parallel hp-multigrid for Organizer: Christine A. HDG 5:00-5:20 Derivative-free Optimization Tan Bui, University of Texas at Austin, Shoemaker Techniques in ab initio Nuclear USA; Hari Sundar, University of Utah, Cornell University, USA Structure Calculations USA 4:35-4:55 Miso: Mixed-Integer Masha Sosonkina, Old Dominion University, Surrogate Optimization for USA 5:00-5:20 HDG Methods for the p-Laplacian Computationally Expensive Black- 5:25-5:45 Symmetry-adapted Bernardo Cockburn, University of Box Problems No-core Shell Model for First Principle Minnesota, Minneapolis, USA; Jiguang Juliane Mueller, Lawrence Berkeley Lage Scale Computations of Atomic National Laboratory, USA Nuclei Shen, University of Minnesota, USA 5:00-5:20 RBF Response Surfaces with Tomas Dytrych, Louisiana State University, 5:25-5:45 HDG Method for Linear Inequality Constraints USA Elasticity David Bindel, Cornell University, USA 5:50-6:10 Multi-Level LOBPCG Method Weifeng Qiu, City University of Hong Kong, Hong Kong 5:25-5:45 Efficient Multi-Start for in MFDn Global Optimization in Accelerator Meiyue Shao, Lawrence Berkeley National Design Laboratory, USA Jeffrey M. Larson and Stefan Wild, Argonne National Laboratory, USA 5:50-6:10 Parallel Surrogate Global Optimization with Pareto Centers for Single Objective Expensive Functions Christine A. Shoemaker, Tipaluck Krityakierne, and Taimoor Akhtar, Cornell University, USA 2015 SIAM Conference on Computational Science and Engineering 51

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS63 MS64 MS65 Innovative Algorithms for Efficient High-order NSF-SIAM Symposium Eigenvalue and Singular Numerical Methods for on Mathematical and Value Decomposition - Nonlinear PDEs - Part II of II Computational Aspects Part III of III 4:35 PM-6:15 PM of Materials Science - 4:35 PM-6:15 PM Room:251 D Part III of III Room:251 C For Part 1 see MS15 4:35 PM-6:15 PM For Part 2 see MS38 Recent years have seen growing trends Room:251 E The minisymposium will focuses on the first in the development of efficient high- order numerical schemes for nonlinear For Part 2 see MS40 steps taken on the development of novel The materials science community software methodologies and algorithm for PDEs including hyperbolic equations, Hamilton-Jacobi equations, and quantum has embarked on various large-scale the next generation of HPC systems. Some computational projects. We mention scale challenges will be addressed; the goal and kinetic models. Many challenges in computational efficiency, accuracy, multi- the materials genome project---a broad is to close the “application-architecture survey of thousands of materials---and peak performance gap” by exploring scales, and theoretical foundations are actively addressed for various applications. several deep-mining projects of a few algorithms and runtime improvements that selected materials. These projects offer will enable key science applications to This minisymposium will bring together researchers to exchange ideas and recent interesting opportunities for mathematical better exploit the architectural features of and computational scientists to advance the extreme-scale systems. The contributed developments in these fields, with applications such as rarefied gas dynamics, the state of the art in materials research talks will cover new approaches that can by developing mathematical models, overcome the limitations of existing dense/ semi-conductor simulation, optimal transportation and optimal control. computational algorithms, and tools for data sparse eigensolver libraries on platforms analysis. The Division of Materials Research that require fine granularity and memory- Organizer: Yingda Cheng (DMR) and Division of Mathematical aware computational tasks combined with Michigan State University, USA Sciences (DMS) of the National Science asynchronism in parallel execution. Organizer: Fengyan Li Foundation are encouraging collaborations Organizer: Azzam Haidar Rensselaer Polytechnic Institute, USA of mathematicians and materials scientists University of Tennessee, Knoxville, USA through several mechanisms (MSII, DMREF, 4:35-4:55 High Order Methods etc.). The speakers in this symposium will Organizer: Piotr Luszczek for Traveltime and Amplitude in will highlight opportunities for joint research University of Tennessee, Knoxville, USA Geometrical Optics projects. Organizer: Stanimire Tomov Songting Luo, Iowa State University, USA; Jianliang Qian, Michigan State University, Organizer: Hans G. Kaper University of Tennessee, Knoxville, USA USA; Robert Burridge, University of New Argonne National Laboratory and 4:35-4:55 Revisiting SVD(A) through Mexico, USA Georgetown University, USA EIG(T) for Sca/LAPACK 5:00-5:20 High-Order Gas Evolution 4:35-4:55 Materials from Mathematics Osni A. Marques, Lawrence Berkeley Model for Computational Fluid Richard James, University of Minnesota, National Laboratory, USA Dynamics USA 5:00-5:20 Solving a Parameterized Kun Xu, University of Science & 5:00-5:20 Computational Materials Eigenvalue Problem from Regularized Technology, Hong Kong Design: Challenges in Practical Total Least Squares 5:25-5:45 An Efficient Spectral Applications Jesse L. Barlow, Geunseop Lee, and Method for the Euler-Lagrange Sadasivan Shankar, Harvard University, Haoying Fu, Pennsylvania State Equations of Minimum Action USA University, USA Methods 5:25-5:45 Title Not Available at Time 5:25-5:45 Performance Evaluation of Haijun Yu, Institute of Computational of Publication EigenExa Dense Eigensolver on the Mathematics, China; Xiaoliang Wan, Michael S. Vogelius, Rutgers University, Oakleaf-Fx Supercomputer System Louisiana State University, USA New Brunswick, USA Takeshi Fukaya and Toshiyuki Imamura, 5:50-6:10 Higher-Order Filtered RIKEN, Japan 5:50-6:10 Title Not Available at Time Methods for Nonlinear Partial of Publication 5:50-6:10 Scaling Comparison of Differential Equations Mary Galvin-Donoghue, National Science Dense Eigensolvers and Purification Brittany Froese, University of Texas at Foundation, USA Techniques to Large Node Counts Austin, USA; Adam M. Oberman, McGill Xing Liu and Edmond Chow, Georgia University, Canada Institute of Technology, USA 52 2015 SIAM Conference on Computational Science and Engineering

Saturday, March 14 Saturday, March 14 Saturday, March 14 MS66 MS67 MS68 Volume Penalty and Fourier The Development of Parallel Programming Methods for PDEs on Unstructured High Order Models, Algorithms and Irregular Domains - Methods for Industrial Scale- Frameworks for Extreme Part II of II resolving Simulations Computing - Part III of III 4:35 PM-6:15 PM 4:35 PM-6:15 PM 4:35 PM-6:15 PM Room:251 F Room:254 A Room:254 B For Part 1 see MS41 Through their algorithmic efficiency and For Part 2 see MS43 Volume penalty methods allow one to extend guaranteed accuracy, unstructured high-order Multicore/manycore processors and the domain that a partial differential equation methods (HOM) seem to provide enabling accelerators are universally available is defined on (ie. an irregular geometry) to technology for accurate, adaptive and timely as both collections of homogeneous that of a simple rectangular domain through scale-resolving simulations in complex standard microprocessors and as attached the addition of a volume penalty, forcing geometries. This minisymposium addresses heterogeneous co-processors. Application term. The resulting penalized equations then the following topics - development or the and library software developers may often provide a flexible and efficient framework adaptation of LES subgrid scale models and effectively use these processors and some for solving (moving) interface and boundary hybrid/wall models in close interaction with general approaches have emerged. It is widely problems via a solution using I) equispaced the discretisation; - assessment on academic recognized that careful design of software grids, ii) Nonconforming FEM, iii) Fourier benchmarks, including on irregular meshes; and data structures, with effective memory methods. This minisymposium brings - development of hp-adaptive strategies; - management, are the most critical issues to together mathematicians and practitioners industrial applications; - practical aspects such obtain scalable optimized performance on to discuss both theoretical aspects such as as large scale parallellisation, non-matching those systems. In these minisymposia we convergence rates and stability, as well as connections, post or co-processing .... Both discuss current experiences and development applications and simulations of physical finite element-like methods (DGM, SDM, FR, of applications, libraries and frameworks phenomena. RDS, ...) as well as high- order FVM or FDM using a variety of hardware. Speakers will are considered. address performance results and software Organizer: David Shirokoff design. New Jersey Institute of Technology, USA Organizer: Koen Hillewaert CENAERO, Belgium Organizer: Kengo Nakajima 4:35-4:55 New Active Penalty University of Tokyo, Japan Methods with Applications to Fluid Organizer: Andrea D. Beck Flow University of Stuttgart, Germany Organizer: Michael Heroux Jean-Christophe Nave, McGill University, 4:35-4:55 The Application of High Sandia National Laboratories, USA Canada Order Dgm for Resolved and Organizer: Serge G. Petiton 5:00-5:20 Penalty Methods for the Wall-Modeled Les of Full Scale CNRS/LIFL and INRIA, France Hyperbolic System Modeling the Turbomachinery Passages 4:35-4:55 Intelligent Iterative Methods: Wall-Plasma Interaction in a Tokamak Koen Hillewaert and Corentin Carton de the Future of Parallel and Distributed Wiart, CENAERO, Belgium; Guillaume Philippe Angot, Thomas Auphan, and Olivier Runtime Tuned Linear Algebra? Guès, Aix-Marseille Université, France Verheylewegen, Université Catholique Serge G. Petiton, CNRS/LIFL and INRIA, de Louvain, Belgium; Ariane Frère, 5:25-5:45 A Dispersionless Fourier France CENAERO, Belgium Method for the Maxwell Equations 5:00-5:20 Performance of Algebraic Using Volume Penalization 5:00-5:20 The Use of Residual-Based Multigrid Preconditioners for Large- Compact Schemes for Industrial Les Ryan Galagusz, McGill University, Canada Scale Finite Element Simulations Paola Cinnella, ENSAM, ParisTech, France; 5:50-6:10 Fourier based PDE Solution Paul Lin and John Shadid, Sandia National Cédric Content and Luca Sciacovelli, Arts on Complex Domains Laboratories, USA et Metiers PARISTECH, France Mark Lyon, University of New Hampshire, 5:25-5:45 Divide and Conquer 5:25-5:45 Validation of a High-Order USA Algorithms for Large Hermitian Implicit Les Solver for the Simulation of Eigenvalue Problems a Low-Reynolds-Number Vertical-Axis Yousef Saad, University of Minnesota, USA; Wind Turbine Vasilis Kalantzis, University of Patras, Samuel Kanner and Per-Olof Persson, Greece University of California, Berkeley, USA 5:50-6:10 Unit and Conquer Algorithms 5:50-6:10 Applications of the Spectral/ for Large Eigenvalue Problems hp Element Method to Complex Flow Nahid Emad Geometries , University of Versailles, France David Moxey, Joaquim Peiro, and Spencer Sherwin, Imperial College London, United Kingdom 2015 SIAM Conference on Computational Science and Engineering 53

Saturday, March 14 Saturday, March 14 5:00-5:20 Effective High-Order Diffusive Moment Closures with the MS69 MS70 StaRMAP Software Benjamin Seibold, Temple University, USA; One-Shot Methods for Computational Methods Martin Frank, RWTH - Aachen University Optimization with PDEs for Kinetic Equations and of Technology, Germany 4:35 PM-6:15 PM Related Models - 5:25-5:45 An Asymptotic-preserving Part III of V Scheme for Linear Kinetic Equation Room:254 C with Fractional Diffusion Limit One-shot methods for optimization with PDEs 4:35 PM-6:15 PM Li Wang, University of California, Los aim at achieving simultaneously convergence Room:150 AB Angeles, USA of the primal PDE state equation, the adjoint For Part 2 see MS45 5:50-6:10 Energy-Conserving state equation and the design equation. The Schemes for Vlasov-Type Systems direction and size of the one-shot optimization For Part 4 see MS95 Kinetic descriptions play an important role Yingda Cheng, Michigan State University, steps are usually determined by carefully in a variety of physical, biological, and even USA selected design space preconditioners. It social applications. Unfortunately, the large turns out, that one-shot methods enable quite phase space associated with the kinetic often designs for the computational effort description has in the past made simulations of a small, constant multiple of the effort of impractical in most settings. However, a simulation, especially if the primal PDE recent advances in computer resources and solve is very expensive. The minisymposium numerical algorithms are making kinetic presents recent developments in the field models more tractable, and this trend is of one-shot methods for optimization with expected to continue in the future. The PDEs and its potential by showing large scale purpose of this minisymposium is to report applications. on the continuing progress on numerical Organizer: Andrea Walther analysis and computational science for Universität Paderborn, Germany kinetic equations. It brings together Organizer: Nicolas R. Gauger researchers from applied mathematics, computational science, physics, and Technische Universität Kaiserslautern, engineering communities to discuss their Germany work and exchange ideas. 4:35-4:55 Augmenting the One-Shot Framework by Additional Constraints Organizer: Martin Frank Torsten F. Bosse, Argonne National RWTH - Aachen University of Technology, Laboratory, USA; Andreas Griewank, Germany Humboldt University Berlin, Germany Organizer: Cory Hauck 5:00-5:20 Towards Second Order One- Oak Ridge National Laboratory, USA Shot Methods in the Context of Shape Organizer: Ryan G. McClarren Calculus Texas A&M University, USA Volker H. Schulz, University of Trier, Germany Organizer: Jingmei Qiu University of Houston, USA 5:25-5:45 Fixed-Point Iterations for Simultaneous One-Shot Optimization Organizer: Jeffrey A. Willert of Unsteady Flows Los Alamos National Laboratory, USA Stefanie Günther, Technical University 4:35-4:55 High Order Asymptotic Kaiserslautern, Germany; Nicolas Preserving Projective Integration R. Gauger, Technische Universität Methods Kaiserslautern, Germany; Qiqi Wang, Pauline Lafitte, Ecole Centrale Paris, France; Massachusetts Institute of Technology, Annelies Lejon, Ward Melis, and Giovanni USA Samaey, Katholieke Universiteit Leuven, 5:50-6:10 On An Extension of the Belgium Augmented Lagrangian Approach for One-Shot Optimization Andrea Walther, Universität Paderborn, Germany; Nicolas R. Gauger, Technische Universität Kaiserslautern, Germany

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Saturday, March 14 5:25-5:45 Advances on Ice-Sheet Saturday, March 14 Model Initialization using the First MS71 Order Model MS72 Mauro Perego, Sandia National Advances in Large-scale Laboratories, USA; Stephen Price, Los Career Fair: Alternatives to Forward and Inverse Ice Alamos National Laboratory, USA; Georg Academia - Part III of III Sheet Modeling - Part II of II Stadler, Courant Institute of Mathematical Sciences, New York University, USA; 4:35 PM-6:15 PM 4:35 PM-6:15 PM Michael S. Eldred, Sandia National Room:255 Laboratories, USA; Charles Jackson, Room:150 DE For Part 2 see MS47 University of Texas at Austin, USA; The career fair will feature representatives For Part 1 see MS46 John D. Jakeman, Irina Kalashnikova, from nonacademic employers from industry Model-based projections of the dynamics and Andrew Salinger, Sandia National and government. These representatives will be of the polar ice sheets play a central role in Laboratories, USA prepared to discuss with you the opportunities anticipating future sea level rise. However, a 5:50-6:10 Uncertainty Quantification for internships, postdoctoral appointments number of mathematical and computational for Large-Scale Bayesian Inverse and full-time jobs at their organizations. challenges place significant barriers on Problems with Application to Ice improving predictability of these models. Organizer: William G. Kolata Sheet Models These include complex and very high- SIAM, USA Noemi Petra, University of California, aspect ratio geometries, highly nonlinear Merced, USA; Toby Isaac, University Organizer: Kristin O’Neill and anisotropic rheology, extremely ill- of Texas at Austin, USA; Georg Stadler, conditioned (non)linear systems, broad SIAM, USA Courant Institute of Mathematical range of length scales, and unknown model This is the most current list at time fo Sciences, New York University, USA; parameters that must be inferred from printing. Omar Ghattas, University of Texas at heterogeneous observations, leading to • Argonne National Laboratory Austin, USA an ill-posed inverse problem and the need • Boeing to quantify uncertainties in its solution. • Hewlett-Packard Laboratories Speakers in this minisymposium will • Kitware address these challenges and present recent developments aimed at overcoming them. • Lawrence Berkeley National Laboratory • Lawrence Livermore National Organizer: Noemi Petra Laboratory University of California, Merced, USA • MathWorks Organizer: Omar Ghattas • MIT Lincoln Laboratory University of Texas at Austin, USA • National Institute of Standards & Organizer: Irina Kalashnikova Technology Sandia National Laboratories, USA • NSA Organizer: Georg Stadler • NVIDIA Courant Institute of Mathematical Sciences, • Oak Ridge National Laboratory New York University, USA • Quantlab 4:35-4:55 Multilevel Methods for Forward and Inverse Ice Sheet The most current list of participating Modeling companies is available at www.siam. Toby Isaac, University of Texas at Austin, org/meetings/cse15/career.php. USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Omar Ghattas, University of Texas at Austin, USA 5:00-5:20 Assessment of Finite Element Schemes for Accurate Modeling of the Grounding Line Mathieu Morlighem, University of California, Irvine, USA; Jerome Monnier, Institut de Mathématiques de Toulouse, France; Helene Seroussi, California Institute of Technology, USA; Nathan Martin, CNRS, France

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Saturday, March 14 5:50-6:10 A Polarized-Trace Saturday, March 14 Preconditioner for 2D Helmholtz and MS73 Frequency Domain Full-Waveform MS74 Inversion Efficient and Accurate Russell Hewett, Total E&P, USA; Leonardo Large-Scale Inversion and Solution Techniques for Zepeda-Nunez and Laurent Demanet, Uncertainty Mitigation Variable Coefficient Elliptic Massachusetts Institute of Technology, USA 4:35 PM-6:15 PM Partial Differential Equations Room:260 B - Part II of II On top of the conventional challenges that 4:35 PM-6:15 PM inversion introduces, such as appropriate incorporation of a-priori information and Room:260 A experimental design, inversion of large- For Part 1 see MS48 scale problems requires consideration of Efficient and accurate numerical methods the interplay between model reduction and for solving variable coefficient partial model misspecification as well as means for differential equations are important for many uncertainty quantification and mitigation. applications such as seismic imaging and In this minisymposium session, we shall metamaterial design. A variety of techniques explore various algorithmic strategies to including finite element, discontinuous handle these aspects. Galerkin, and integral equation methods Organizer: Lior Horesh have been developed to tackled these challenging problems. This session brings IBM T.J. Watson Research Center, USA together researchers from a broad range of Organizer: Stephen Becker research communities in an effort to build an University of Colorado Boulder, USA understanding of the different techniques and 4:35-4:55 Fast Algorithms for Linear open problems in the field. Inverse Problems with Gaussian Priors Organizer: Adrianna Gillman Kenneth L. Ho and Lexing Ying, Stanford Rice University, USA University, USA Organizer: Lise-Marie Imbert- 5:00-5:20 Accelerating MCMC with Gérard Parallel Local Approximations Courant Institute of Mathematical Sciences, Patrick R. Conrad and Youssef M. Marzouk, New York University, USA Massachusetts Institute of Technology, USA; Natesh Pillai, Harvard University, 4:35-4:55 Generalized Plane Waves USA; Aaron Smith, University of Ottawa, Adapted to Varying Coefficients Canada Lise-Marie Imbert-Gérard, Courant Institute of Mathematical Sciences, New York 5:25-5:45 Random Matrix Models University, USA for the Representation of Model Inadequacy: A Case Study in 5:00-5:20 Fast Multipole Method Chemical Kinetics as a Preconditioner for Finite Rebecca Morrison and Robert D. Moser, Discretizations of Elliptic Boundary University of Texas at Austin, USA Value Problems Huda Ibeid, Rio Yokota, and David E. Keyes, 5:50-6:10 Convex Relaxations of King Abdullah University of Science & Polynomial Imaging Problems Technology (KAUST), Saudi Arabia Laurent Demanet and Augustin Cosse, Massachusetts Institute of Technology, 5:25-5:45 Fast Direct Solver based on USA the Cyclic Reduction Algorithm and Hierarchical Matrix Arithmetic for the Solution of Variable-coefficient Elliptic PDEs Gustavo Chavez, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; George M. Turkiyyah, American University of Beirut, Lebanon; Rio Yokota and David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia

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Saturday, March 14 Saturday, March 14 Saturday, March 14 MS75 MS76 MS77 Advances in Radial Computational Models Software Process for a CASL Basis Function and Other of Cardiac Growth and Sustainable Simulation Meshfree Methods - Remodeling Software Solution Part III of V 4:35 PM-6:15 PM 4:35 PM-6:15 PM 4:35 PM-6:15 PM Room:151 DE Room:151 G Room:151 AB Understanding the processes of cardiac This minisymposium will focus on the growth and remodeling is of substantial For Part 2 see MS50 software development process used to For Part 4 see MS101 clinical relevance, in particular for improved create Hydra-TH, a CFD code for the Meshfree methods have many inherent treatment of heart failure. Computational Consortium for Advanced Simulation of properties that make them useful for models for soft tissue growth have been Light Water Reactors (CASL). We delve a variety of problems in science and established in the framework of continuum into the fine level details of cross- platform engineering, from fitting data to numerically mechanics, and are valuable tools for builds, effective testing, and collaborative solving differential equations. Such methods studying growth mechanisms and testing development workflows needed to create a offer geometric flexibility, non-uniform physiological hypotheses. However, model scalable, general purpose CFD code. This resolution, and advantageous trade-offs development and analysis is challenging, includes open source tools to help manage between accuracy and computational costs. in particular because of the complexity and these complexities. Additionally, we include This minisymposium focuses primarily on extreme multiscale nature of the processes In Situ simulation visualization and analysis methods based on radial basis functions and involved. In this minisymposium we address along with preprocessing tools ensuring that other more general kernels. The talks will recent developments in computational CFD analysts can effectively use Hydra-TH address recent advances in the application models of growth and remodeling. Specific for performing their desired work. An entire of these methods to large-scale problems in topics will include mathematical model workflow including software and model biology, geophysics, image processing, and development, numerical solution methods, analysis development will be presented. finance, as well as theoretical advances in and clinically relevant applications such as heart failure. Organizer: Bill Hoffman the methods themselves. Kitware, Inc., USA Organizer: Varun Shankar Organizer: Joakim Sundnes Simula Research Laboratory, Norway 4:35-4:55 Software Quality with the University of Utah, USA Open Source Tools CMake, CDash, Organizer: Grady B. Wright Organizer: Samuel Wall CTest Boise State University, USA Simula Research Laboratory, Norway Bill Hoffman, Kitware, Inc., USA 4:35-4:55 RBF-Based Partition of 4:35-4:55 Modeling Growth and 5:00-5:20 Tribits: Tribal Build, Integrate, Unity Collocation Methods for the Remodeling in Heart Muscle Tissue and Test System Numerical Solution of PDEs Joakim Sundnes, Simula Research Roscoe Bartlett, Oak Ridge National Elisabeth Larsson, Uppsala University, Laboratory, Norway Laboratory, USA Sweden; Alfa Heryudono, University of 5:00-5:20 A Computational Model of 5:25-5:45 Developing Hydra-TH: A Massachusetts, Dartmouth, USA Reverse Cardiac Growth in Response Vertical, VERA-integrated Application 5:00-5:20 Multilevel Collocation with to Mechanical Stimulus based on the Hydra Toolkit Radial Basis Functions Lik Chuan Lee, Michigan State University, Mark Christon, Jozsef Bakosi, and Markus Patricio Farrell, Weierstrass Institute USA Berndt, Los Alamos National Laboratory, for Applied Analysis and Stochastics, 5:25-5:45 Human Fetal Growth Model USA; Andrew Bauer, Kitware, Inc., Germany of Hypoplastic Left Heart Syndrome USA; Alan Stagg, Oak Ridge National Adarsh Krishnamurthy, University of Laboratory, USA; Balasubramanya Nadiga, 5:25-5:45 Kernel-based Image Los Alamos National Laboratory, USA; Reconstruction from Scattered Radon California, San Diego, USA Patrick O’Leary, Kitware, Inc., USA Data 5:50-6:10 Finite Element Models Armin Iske, University of Hamburg, of Growth and Remodelling in the 5:50-6:10 Computational Model Germany Infarct Injured Left Ventricle Builder and ParaView Catalyst: Samuel Wall, Simula Research Laboratory, Empowering HPC Workflows 5:50-6:10 Dealing with Multiple Andrew Bauer, Patrick O’Leary, Robert Boundary Conditions in the RBF Norway O’Bara, and Berk Geveci, Kitware, Inc., Collocation Method USA Alfa Heryudono, University of Massachusetts, Dartmouth, USA 2015 SIAM Conference on Computational Science and Engineering 57

Saturday, March 14 Saturday, March 14 Saturday, March 14 Professional Professional Development Professional Evening: Networking Development Reception Development Evening 7:30 PM-8:30 PM Evening Getting Started with Room:355 D Interdisciplinary Research: Interdisciplinary Research: Sustaining a Successful Program Challenges and Opportunities 8:30 PM-9:30 PM 6:30 PM-7:30 PM Room:355 D Room:355 D Chair: Maria Emelianenko, George Mason Chair: Maria Emelianenko, George Mason University, USA University, USA Chair: Cammey Cole Manning, Meredith Chair: Cammey Cole Manning, Meredith College, USA College, USA Chair: Sven Leyffer, Argonne National Chair: Sven Leyffer, Argonne National Laboratory, USA Laboratory, USA Join us for an evening devoted to developing Join us for an evening devoted to developing and sustaining a successful interdisciplinary and sustaining a successful interdisciplinary research program. Several professionals research program. Several professionals from academia, government, and industry from academia, government, and industry will share their perspective on challenges will share their perspective on challenges and rewards of an interdisciplinary research, and rewards of an interdisciplinary research, training opportunities for students and training opportunities for students and early early career researchers, how to identify career researchers, how to identify open open problems and find common language problems and find common language with with colleagues in a different field and colleagues in a different field and funding funding opportunities among other topics. opportunities among other topics. The target The target audience for this event includes audience for this event includes early career early career professionals (i.e., less than professionals (i.e., less than five years past five years past last degree), postdocs, and last degree), postdocs, and students. However, students. However, we are also encouraging we are also encouraging participation from participation from the senior professional the senior professional community during the community during the networking session. networking session. This networking session This networking session will take place will take place immediately following this immediately prior to this panel. panel. Panelists: Panelists: Andrea Bertozzi Richard Braun University of California, Los University of Delaware, USA Angeles, USA Thomas Grandine Fariba Fahroo The Boeing Company, USA Air Force Office of Scientific Research, USA C.T. Kelley North Carolina State University, Omar Ghattas USA University of Texas at Austin, USA Carol Woodward Jeffrey Hittinger Lawrence Livermore National Lawrence Livermore National Laboratory, USA Laboratory, USA Wil Schilders Technische Universiteit Eindhoven, The Netherlands 58 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 Sunday, March 15 Sunday, March 15 IP3 MT1 Petascale Finite Element Minitutorial: Python Visual Student Days: Student Simulation of Real World’s Analytics for Big Data - Chapter Meeting with Complex Structure with Part I of II SIAM Leadership Billions DOFs Model (by invitation only) 9:10 AM-10:50 AM 8:15 AM-9:00 AM 7:00 AM-8:00 AM Room:355 Room:355 For Part 2 see MT2 Room:255 D Chair: Feng Xiao, Tokyo Institute of Chair: Jonathan Woodring, Los Alamos Technology, Japan National Laboratory, USA Leading supercomputers offer the computing Python is a powerful development, Registration power of petascale, and exascale systems computational, and programming environment due to the wide variety of 7:30 AM-5:00 PM are expected to be available by the end of this decade. Supercomputers with more libraries developed for it, and importantly, Room:East Foyer than tens of thousands of computing nodes, the enthusiastic, active development and user each of which has many cores cause serious community. One of the areas where Python problems in practical finite element software. excels is visualization and analysis of big We have been developing an open source data, due to several high-quality modules for Announcements parallel finite element software known as both simple and advanced visual analytics. 8:10 AM-8:15 AM ADVENTURE, which enables very precise This tutorial will cover the following big- analyses of practical structures and machines data visualization capabilities in Python: Room:355 using over 100 million to billions DOFs interactive plotting with IPython, matplotlib, mesh. The basic parallel solution algorithms and databases, building web visualizations employed are the hierarchical domain with Bokeh, and Python integration with decomposition method with balancing VTK and ParaView. Additional information domain decomposition as preconditioner. In will be provided on mapreduce and NoSQL this talk, I explain several key technologies capabilities. This tutorial is intended for and one practical application, i.e. seismic intermediate-level participants who have a response of nuclear power plant subjected to basic understanding of the Python language a strong earthquake. and development environment (i.e., the student ought to have an understanding of Shinobu Yoshimura native (and ideally numpy) data structures, University of Tokyo, Japan file I/O, and is able to develop and run simple programs). Beginner participants are welcome, but Python fundamentals, such as language constructs, “hello world,” and Intermission program execution will not be covered in 9:00 AM-9:10 AM this tutorial. Topic A: IPython + Matplotlib using SQlite Joseph Cottam, Indiana University, USA Topic B: NumPy + SciPy + Pandas using Postgres & HDF5 Jonathan Woodring, Los Alamos National Laboratory, USA 2015 SIAM Conference on Computational Science and Engineering 59

Sunday, March 15 Sunday, March 15 10:25-10:45 Fluid-Structure-Interaction in Computational Hemodynamcis MS78 MS79 using Nonlinear Hyperelastic Arterial Wall Models Teaching Computational Large Scale Solution Daniel Balzani, University of Duisburg- Thinking and Practice Methods for Coupled and Essen, Germany; Simone Deparis, École Nonlinear Problems Polytechnique Fédérale de Lausanne, 9:10 AM-10:50 AM Switzerland; Simon Fausten, University Room:355 A 9:10 AM-10:50 AM of Duisburg-Essen, Germany; Davide Forti, École Polytechnique Fédérale As dependence on computational tools Room:355 D de Lausanne, Switzerland; Alexander increases, so does the need for better The devlopment of solution methods for Heinlein and Axel Klawonn, Universität computational training. We discuss our coupled (e.g. fluid structure interaction) zu Köln, Germany; Alfio Quarteroni, own efforts to provide such training. We and nonlinear (e.g. nonlinear mechanics) École Polytechnique Fédérale de address several larger questions including: problems is highly challenging. In particular Lausanne, Switzerland; Oliver Rheinbach, What is the role of computational training in the context of large scale problems, this Technische Universitaet Bergakademie in our various fields? How can we scale might require non-standard approaches for Freiberg, Germany; Jörg Schröder, training to meet demand? What technologies, discretization and solution methods, as the University of Duisburg-Essen, Germany languages, principles, and practices should simple combination of standard methods we teach? What is the right balance between for the respective sub-problems or the conceptual learning and hands-on training application of, e.g., Newton’s-method, might and practice? More generally, how should lead to stability, efficiency, or scalability we train the next generation of scientists, constraints. In this minisymposium, we statisticians, and engineers in computational therefor focus on solution methods, which methods and practices? are a priori designed for the solution of Organizer: Kenneth J. Millman coupled and non-linear problems on parallel University of California, Berkeley, USA machines. Organizer: Philip B. Stark Organizer: Rolf Krause University of California, Berkeley, USA University of Lugano, Switzerland 9:10-9:30 Teaching Statistical Organizer: Johannes Steiner Computing to Undergraduates University of Lugano, Switzerland Kenneth J. Millman and Philip B. Stark, 9:10-9:30 A Scalable Monolithic University of California, Berkeley, USA Solver for the Coupling of a Finite 9:35-9:55 Opportunities and Element and a Finite Volume Method Experiences with Teaching for Fluid-Structure-Interaction Computational Science from the Very Johannes Steiner and Rolf Krause, Start of University Studies University of Lugano, Switzerland Hans Petter Langtangen, Simula Research 9:35-9:55 Parallel Scalable FETI Laboratory and University of Oslo, Methods for Nonlinear Problems Norway Axel Klawonn and Martin Lanser, 10:00-10:20 Teaching Data Universität zu Köln, Germany; Oliver Science from a Computer Science Rheinbach, Technische Universitaet Perspective: Experience from a First Bergakademie Freiberg, Germany Mooc 10:00-10:20 Adaptive Spectral Bill Howe, University of Washington, USA Deferred Correction Methods for 10:25-10:45 Teaching Computing to Cardiac Simulation Engineers Martin Weiser, Zuse Institute Berlin, Lorena A. Barba, George Washington Germany University, USA

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Sunday, March 15 Sunday, March 15 Sunday, March 15 MS80 MS81 MS82 Computational Engineering High-dimensional Resilience in Numerical (BGCE) Student Paper Prize Approximation and Simulations and Algorithms - Part I of II Integration: Analysis and at Extreme Scale: Part I of IV 9:10 AM-10:50 AM Computation - Part I of V - General Topics Room:250 A 9:10 AM-10:50 AM 9:10 AM-10:50 AM For Part 2 see MS105 Room:250 B Room:250 C The 5th Bavarian Graduate School in For Part 2 see MS106 For Part 2 see MS107 Computational Engineering (BGCE) Student This minisymposium focuses on the The advent of extreme scale machines will Paper Prize will be awarded at the 2015 fundamental problem of how to accurately require the use of parallel resources at an SIAM CS&E Conference for outstanding approximate solutions of both forward unprecedented scale, probably leading to a student work in the field of Computational and inverse high-dimensional functions. high rate of hardware faults. Handling fully Science and Engineering. Eligible for the Predicting the behavior of complex these faults at the computer system level may prize will be undergraduate and graduate phenomena relies on constructing solutions have a prohibitive cost. High performance students prior to receiving their PhD. in terms of high dimensional spaces, computing applications that aim at exploiting Candidates are required to summarize their particularly in the case when the input all these resources will thus need to be work in a short paper of at most 4 pages. data (coefficients, forcing terms, initial resilient, in this minisympoisum different The prize finalists will present their work and boundary conditions, geometry) are complementary approaches and methods will in this minisymposium. The prize award affected by large amounts of uncertainty. be presented to possibly address this key announcement will be scheduled at one of The resulting explosion in computational aspect of extreme scale computing. the last days of the conference. effort is a symptom of the curse of Organizer: Keita Teranishi dimensionality and this symposium aims at Organizer: Tobias Neckel Sandia National Laboratories, USA Technische Universität München, Germany exploring breakthroughs in sparse sampling and representations, nonlinear and greedy Organizer: Luc Giraud Organizer: Hans-Joachim approximations, compressed sensing, INRIA, France Bungartz multilevel methods, and “best-N-term” Organizer: Michael Heroux Technische Universität München, Germany approximations. Sandia National Laboratories, USA Organizer: Ulrich J. Ruede Organizer: Clayton G. Webster Organizer: Emmanuel Agullo University of Erlangen-Nuremberg, Oak Ridge National Laboratory, USA INRIA, France Germany Organizer: Guannan Zhang 9:10-9:30 Resilient Programming Speakers To Be Announced Oak Ridge National Laboratory, USA Models Organizer: Max Gunzburger Michael Heroux, Sandia National Florida State University, USA Laboratories, USA Organizer: Albert Cohen 9:35-9:55 Title Not Available at Time Université Pierre et Marie Curie, France of Publication George Bosilca, University of Tennessee, 9:10-9:30 A Theory for Model Knoxville, USA Verification Ronald DeVore, Texas A&M University, 10:00-10:20 Portable Programming USA and Runtime Support for Application- Controlled Resilience in Large-Scale 9:35-9:55 High-Order Digital Nets for Scientific Applications Parametric and Stochastic Operator Andrew A. Chien, University of Chicago Equations and Argonne National Laboratory, USA; Christoph Schwab, ETH Zürich, Switzerland Hajime Fujita, Zachary Rubenstein, Nan 10:00-10:20 Low-Rank Adaptive Dun, Aiman Fang, and Ziming Zheng, Tensor Approximation University of Chicago, USA Wolfgang Dahmen, RWTH Aachen, 10:25-10:45 MPI Fault Tolerance: The Germany Good, The Bad, The Ugly 10:25-10:45 Multivariate Martin Schulz, Lawrence Livermore National Decomposition Methods $\infty$- Laboratory, USA Variate Problems Grzegorz W. Wasilkowski, University of Kentucky, USA 2015 SIAM Conference on Computational Science and Engineering 61

Sunday, March 15 Sunday, March 15 Sunday, March 15 MS83 MS84 MS85 Preconditioning and Error Analysis and Advanced Finite Element Iterative Methods for Linear Scalability of UQ Methods for Nonlinear Systems - Part I of II Methodologies for Inverse Materials and Fluids - 9:10 AM-10:50 AM Problems - Part I of II Part I of III Room:250 D 9:10 AM-10:50 AM 9:10 AM-10:50 AM For Part 2 see MS108 Room:250 E Room:250 F The solution of large, sparse linear systems For Part 2 see MS109 For Part 2 see MS110 remains the limiting component of many The application of novel uncertainty Numerical modeling of materials and problems. Iterative solvers are often the quantification (UQ) methodologies to fluids with nonlinear behavior plays an methods of choice for such systems, solve stochastic inverse problems for a increasing role in computational science and effective preconditioning is usually physical system has improved the predictive and engineering, particularly in the high- necessary to achieve an acceptable speed capabilities of many computationally fidelity simulation of elastic and plastic of convergence. In this minisymposium complex models. However, a full error deformations, magneto-sensitive materials, we focus on recent developments in analysis and study of scalability for the liquid crystals, biological tissues and preconditioning, the convergence of solvers combined UQ method and computational blood flow, among others. Despite a long and the application of iterative methods. model is often lacking. This session history of efforts, there is still a need for Organizer: Jennifer Pestana addresses the issues of error analysis and the development of advanced finite-element University of Manchester, United Kingdom scalability of several UQ methods applied to methods with specific properties such as stochastic inverse problems associated with accurate representation of stresses, forces, Organizer: Andy Wathen specific complex physical systems. Both and other quantities depending on the University of Oxford, United Kingdom a priori and a posteriori error analyses of application. In many of these applications, 9:10-9:30 Convergence of deterministic and stochastic sources of error mesh-adaptive implementations and efficient Stationary Iteration with Indefinite are considered along with computational solvers are an important issue due to the size Preconditioner challenges in scaling such analyses. and complexity of the problems. Andy Wathen, University of Oxford, United Organizer: Troy Butler Organizer: James H. Adler Kingdom University of Colorado, Denver, USA Tufts University, USA 9:35-9:55 Preconditioning for Various Organizer: Steven Mattis Organizer: Gerhard Starke Cahn-Hilliard Systems University of Texas at Austin, USA University of Duisburg-Essen, Germany Jessica Bosch and Martin Stoll, Max Planck Institute, Magdeburg, Germany 9:10-9:30 Quantifying Errors in a Organizer: Thomas Manteuffel Probabilistic Solution to Stochastic University of Colorado Boulder, USA 10:00-10:20 Null-Space Based Inverse Problems for Physics-Based 9:10-9:30 First-Order System Least Preconditioners for Saddle-Point Models Systems Squares for Isotropic and Anisotropic Troy Butler, University of Colorado, Denver, Materials in Hyperelasticity Ron Estrin and Chen Greif, University of USA British Columbia, Canada Benjamin Müller, Gerhard Starke, and Jörg 9:35-9:55 Adaptive Measure- Schröder, University of Duisburg-Essen, 10:25-10:45 Unreduced Symmetric Theoretic Inverse Techniques for High Germany KKT Systems Arising from Interior Point Dimensional Parameter Domains and 9:35-9:55 Momentum Balance Methods Complex Multi-Scale Models Accuracy in Finite Element Methods Mattia Tani and Valeria Simoncini, Lindley C. Graham, University of Texas at for Elastoplasticity Universita’ di Bologna, Italy; Benedetta Austin, USA; Troy Butler, University of Gerhard Starke, University of Duisburg- Morini, Universita’ di Firenze, Italy Colorado, Denver, USA; Clint Dawson, Essen, Germany University of Texas at Austin, USA 10:00-10:20 Modeling Magneto- 10:00-10:20 Optimizing Quantities Mechanical Interactions in of Interest in High Dimensions to Deformable Solids Improve Solutions to Inverse Problems James H. Adler, Luis Dorfmann, Dong Han, Scott Walsh, University of Colorado, Denver, Scott Maclachlan, and Chris Paetsch, Tufts USA University, USA 10:25-10:45 Region of Influence 10:25-10:45 Advanced Finite Sensitivty Analysis for Time Element Methods for Chemo- Dependant Problems Electromechanical Skeletal Muscle Varis Carey and Robert D. Moser, Mechanics University of Texas at Austin, USA Oliver Rohrle, Thomas Heidlauf, Mylena Mordhorst, and Daniel Wirtz, University of Stuttgart, Germany 62 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 10:00-10:20 Efficient Approaches for Sunday, March 15 Optimal Active Flow Control MS86 Nicolas R. Gauger, Technische Universität MS87 Kaiserslautern, Germany; Anil Nemili, Adjoint Methods for Emre Özkaya, and Stefanie Günther, Theory Implementation Unsteady and Chaotic Technical University Kaiserslautern, and Applications of HDG PDEs and Large-scale Germany Methods - Part II of II Optimization and Control - 10:25-10:45 Aerodynamic Design 9:10 AM-10:50 AM for Unsteady Flows Using An Adjoint Part I of II Approach Room:251 B 9:10 AM-10:50 AM Eric Nielsen, NASA Langley Research For Part 1 see MS62 Center, USA; Boris Diskin, National In this minisymposium, we will discuss the Room:251 A Institute of Aerospace, USA latest advancements related to the hybrid For Part 2 see MS111 discontinuous Galerkin (HDG) method. We expose a growing intersection of HDG applies a static condensation technique optimization and control using large- within the DG framework, so that the only scale, unsteady PDE-based simulations. globally coupled degrees of freedom are those This intersection has traditionally been located on the mesh skeleton or trace space, small because most practitioners perform greatly reducing the global system size. The optimization and control using inexpensive, method is also promising for its applicability reduced order models; however, this to current and emerging parallel architectures. is changing. Current-day simulations The HDG method has proven to be a popular solving unsteady and chaotic PDEs, method and has, in recent years, been applied such as the Navier-Stokes equations, are in the context of steady-state diffusion, leveraging advance in high performance Maxwell’s equations, convection-diffusion computing. Petascale, and soon exascale, problems, elastodynamics, Stokes and supercomputers are increasingly available incompressible Navier-Stokes equations. to researchers, enabling them to attempt optimization and control directly using Organizer: Hari Sundar large-scale simulations. The resulting area University of Utah, USA of large-scale optimization and control, Organizer: Tan Bui-Thanh particularly with the aid of the unsteady University of Texas at Austin, USA adjoint method, is the theme of this proposed minisymposium. Organizer: Cuong Nguyen Massachusetts Institute of Technology, USA Organizer: Qiqi Wang Massachusetts Institute of Technology, USA 9:10-9:30 Multiscale Hybridizable Discontinuous Galerkin Methods Organizer: Nicolas R. Gauger Cuong Nguyen, Joel Saa-Seoane, David Technische Universität Kaiserslautern, Moro, Francisco J. Roca, and Jaime Germany Peraire, Massachusetts Institute of Organizer: Daniel J. Bodony Technology, USA University of Illinois at Urbana-Champaign, 9:35-9:55 To CG or HDG: Updates on USA Our Comparative Study 9:10-9:30 Optimal Wall-Forcing for Mike Kirby and Sergey B. Yakovlev, Compressible Wall-Bounded Flows University of Utah, USA Using Adjoint Techniques 10:00-10:20 Stable and Robust Taraneh Sayadi and Peter Schmid, Imperial Hybridized Discontinuous Galerkin College London, United Kingdom Methods for High Reynolds Number Flow Problems 9:35-9:55 A Coupled CFD – CAA Adjoint Method for Aeroacoustic Krzysztof Fidkowski and Johann Dahm, Optimization and Error Estimation University of Michigan, USA Enrico Fabiano, Dimitri Mavriplis, and Jay 10:25-10:45 A Computational Sitaraman, University of Wyoming, USA Framework for Target-Based HP-Adaptation in Compressible Flow Simulation Using HDG Methods Georg May and Michael Woopen, RWTH Aachen University, Germany

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Sunday, March 15 Sunday, March 15 9:10-9:30 Recovering Exponential Accuracy in Spectral Methods MS88 MS89 Involving Piecewise Smooth Functions with Unbounded Derivative Computational Advances in AWM Meeting - Workshop: Singularities Energy Research Research Talks by Recent Zheng Chen, Iowa State University, USA 9:10 AM-10:50 AM Ph.D.s:Mathematical 9:35-9:55 Efficient High-Order Modeling and High- Algorithms for Solving Drift-Diffusion Room:251 C Systems Performance Computing for Part of the SIAM Workshop Celebrating Ying He, University of California, Davis, Diversity Multiscale and Multiphysics USA Computational modeling for geoscience Problems - Part I of II 10:00-10:20 Estimating Residual applications has never been more relevant 9:10 AM-10:50 AM Stresses in Arteries by an Inverse or fundamental for a range of problems in Spectral Technique energy extraction and recovery. This session Room:251 D Sunnie Joshi, Temple University, USA highlights advances in modeling for recent For Part 2 see MS114 10:25-10:45 Force-based Blended and more traditional energy applications. Sponsored by Association for Women in Atomistic-to-continuum Coupling Unconventional resource modeling Mathematics (AWM) Method for Crystals: Theory and work discussed in this session includes This minisymposium highlights selected Computations microseismic event location in the context of research talks by female recent Ph.D.s in Xingjie Li, Brown University, USA hydraulic fracturing and modeling of methane developing multiscale multiphysics models, hydrates. New advances in traditional seismic computational methodologies, and high- wave modeling include more efficient performance computing. Advances in science schemes for implementation of absorbing and engineering—-in disciplines ranging boundary conditions and comparison of finite from health to energy and the environment difference solutions of the wave equation to to defense—-rely on predictive measurement solutions from discontinuous Galerkin finite and analysis of multiscale multiphysics element methods. systems. Such advances are essential for Organizer: Susan E. Minkoff scientific discovery, engineering design University of Texas at Dallas, USA and policy making. The participants of the minisymposium will discuss advanced Organizer: Raegan Higgins computational algorithms and simulation Texas Tech University, USA strategies for solving modern and next- Organizer: Stephen Wirkus generation systems that require analyzing Arizona State University, USA complex physical phenomena such as fluid- solid interactions, mechanics of biological 9:10-9:30 Microseismic Event Location materials, moleculer motions, charge Via Full Waveform Inversion transport, ocean and cloud dynamics, and oil Susan E. Minkoff, University of Texas at recovery process. The topics include physical Dallas, USA modeling, mathematical analysis, numerical 9:35-9:55 Comparison Between DG analysis, algorithms, implementation, and Finite Difference Methods for performance, and scalability. This Acoustics with Smooth Coefficients minisymposium is part of the Association for Mario Bencomo, Rice University, USA Women in Mathematics(AWM) workshop 10:00-10:20 Partitioned Low Rank that will promote cross-fertilization of fast and Efficient Compression of ideas among women scientists in multiple Absorbing Boundary Conditions for disciplines. the Helmholtz Equation Organizer: MiSun Min Rosalie Belanger-Rioux and Laurent Argonne National Laboratory, USA Demanet, Massachusetts Institute of Organizer: Fengyan Li Technology, USA Rensselaer Polytechnic Institute, USA 10:25-10:45 Analysis and Numerical Approximation for Adsorption Models Organizer: Jingmei Qiu Francis P. Medina and Malgorzata University of Houston, USA Peszynska, Oregon State University, USA

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Sunday, March 15 Sunday, March 15 Sunday, March 15 MS90 MS91 MS92 Software and Methods Parametric Model Applied Mathematics for Spatial Modeling and Reduction and Inverse and Computation in the Simulation in Systems Problems - Part I of IV Pharmaceutical Industry - Biology - Part I of II 9:10 AM-10:50 AM Part I of II 9:10 AM-10:50 AM Room:251 F 9:10 AM-10:50 AM Room:251 E For Part 2 see MS116 Room:254 A In recent years model reduction techniques For Part 2 see MS115 For Part 2 see MS117 have been used to efficiently solve forward Simulation of spatially inhomogeneous The pharmaceutical industry continues problems given, for instance, as PDEs, biological systems is a challenging problem to rapidly develop analytical capabilities dynamical systems or complex networks. that has motivated the development of various tackling scientific, engineering, In this minisymposium we want explore software packages. Simulation challenges manufacturing and market challenges. applications of model reduction in the include the multiphysics/multiscale nature We highlight current mathematical and context of inverse problems. of the systems and the need to capture computational frontiers and areas of interest stochastic effects. Modeling challenges Organizer: Eldad Haber to the industry in this minisymposium. include specification of the reaction systems, University of British Columbia, Canada Specific areas include modeling and geometry and mesh generation for complex simulation, optimization, image processing Organizer: Lars Ruthotto and dynamic shapes. Software issues include and data mining/modeling. Modeling and testing and verification, user community Emory University, USA simulation is used in both scientific and issues, and dissemination and promotion. Organizer: Eric De Sturler business applications within the industry. Also, there are the issues of model sharing, Virginia Tech, USA We highlight disease and treatment models validation and reproducibility of results. as well as models underlying objective Organizer: Misha E. Kilmer This minisymposium brings together functions in optimization. Data mining/ representatives of different software packages Tufts University, USA modeling is now driven by large amounts of from the computational systems biology Organizer: Christopher A. Beattie biomarker data varying from next generation community to discuss these challenges. Virginia Tech, USA sequencing to ultra-high resolution imaging. Organizer: Andreas Hellander Organizer: Serkan Gugercin Organizer: Jeffrey Saltzman Uppsala University, Sweden Virginia Tech, USA AstraZeneca, USA Organizer: Brian Drawert 9:10-9:30 Multiscale Model Reduction 9:10-9:30 Numerical Solutions of a University of California, Santa Barbara, USA for PDE-Constrained Optimization Partial Differential Equations in a Pharmacometric Context 9:10-9:30 On-Lattice and off-Lattice Eldad Haber, University of British Jeffrey Saltzman, AstraZeneca, USA Hybrid Simulation Using the Smoldyn Columbia, Canada; Lars Ruthotto, Emory Software University, USA 9:35-9:55 Applications of Modeling Steven Andrews, Fred Hutchinson Cancer 9:35-9:55 Model Mis-Specification and Simulation in Drug Discovery and Research Center, USA and Model Reduction - Connecting Development Chandni Valiathan, Merck & Co., Inc., USA 9:35-9:55 From Macroscopic to the Dots Microscopic Simulations Using Mesord Lior Horesh, IBM T.J. Watson Research 10:00-10:20 Mathematical Modeling David Fange, Uppsala University, Sweden Center, USA at Two Opposite Ends of the Scale Spectrum with the Same Objective in 10:00-10:20 MCell/CellBlender: An 10:00-10:20 Model Reduction for Some Inverse Problems in Finance Mind: Improve Human Health Environment for Spatially Realistic Antonio Cabal, Merck Research Simulation of Cellular Microphysiology Ekkehard W. Sachs, University of Trier, Laboratories, USA Thomas M. Bartol, The Salk Institute, USA Germany and Virginia Tech, USA; Marina Schneider, University of Trier, Germany 10:25-10:45 A Simultaneous 10:25-10:45 E-Cell System Version Approach to Parameter Estimation 4.0: an Integrated Platform for Single- 10:25-10:45 Inference for Prediction in Nonlinear Systems with Ode Models: a Case Study with particle-level Simulations Viral Dynamics Models Kazunari Kaizu, Kozo Nishida, Masaki Harriet Li, Massachusetts Institute of Technology, USA Khamir Mehta and Junghoon Lee, Merck & Watabe, Arjunan Satya, Kazunari Iwamoto, Co., Inc., USA and Koichi Takahashi, RIKEN, Japan 2015 SIAM Conference on Computational Science and Engineering 65

Sunday, March 15 Sunday, March 15 Sunday, March 15 MS93 MS94 MS95 Computational Applications Student Days: SIAM Student Computational Methods Performing at Petascale Chapter Presentations - for Kinetic Equations and Level and Beyond - Part I of II Related Models - Part I of II 9:10 AM-10:50 AM Part IV of V 9:10 AM-10:50 AM Room:254 C 9:10 AM-10:50 AM Room:254 B For Part 2 see MS119 Room:150 AB For Part 2 see MS118 SIAM Student Chapter presentations. For Part 3 see MS70 Large-scale simulations are required to validate Organizer: Rachel Levy For Part 5 see MS120 and then exercise complex multiscale models Harvey Mudd College, USA Kinetic descriptions play an important role such as weather forecasting, computational in a variety of physical, biological, and even 9:10-9:21 System Architecture for a astronomy, or industrial burners. This social applications. Unfortunately, the large Cooperative Fleet of Autonomous minisymposium highlights the impact of phase space associated with the kinetic Underwater Vehicles (AUVs) petascale computing on scientific discoveries description has in the past made simulations Stacey Joseph-Ellison, Qi Zhou, Zhaoyang by presenting the recent work of several impractical in most settings. However, Fu, Zakaria Daud, and Hong Liu, Embry- research teams that develop and employ recent advances in computer resources and Riddle Aeronautical University, USA applications to tackle such challenging numerical algorithms are making kinetic problems using full capabilities of modern 9:26-9:37 Affirmative Actions in models more tractable, and this trend is leadership-class supercomputers. Discussions Education Creating Division and expected to continue in the future. The emphasize both the scientific impact of the Inefficiency Among Beneficiary purpose of this minisymposium is to report related work and the challenges associated with Groups in India on the continuing progress on numerical computing at such scale. Aprant Ajay, Delhi Technological University, analysis and computational science for Organizer: Bilel Hadri India kinetic equations. It brings together researchers from applied mathematics, King Abdullah University of Science & 9:42-9:53 Interfacial Motion by Mean computational science, physics, and Curvature in Liquid Crystals Technology (KAUST), Saudi Arabia engineering communities to discuss their Amy Spicer and Apala Majumdar, University Organizer: Hatem Ltaief work and exchange ideas. of Bath, United Kingdom King Abdullah University of Science & Organizer: Martin Frank Technology (KAUST), Saudi Arabia 9:58-10:09 Theory and Computation for Bilinear Quadratures RWTH - Aachen University of Technology, 9:10-9:30 Exascale: the Why and the Christopher Wong, University of California, Germany How Berkeley, USA Organizer: Cory Hauck David E. Keyes, King Abdullah University of Oak Ridge National Laboratory, USA Science & Technology (KAUST), Saudi 10:14-10:25 Survival Probability of Arabia Beneficial Mutations in Bacteria Organizer: Ryan G. McClarren Anna Zhu and Lindi M. Wahl, Western Texas A&M University, USA 9:35-9:55 From Optimal Algorithms to University, Canada Fast Petascale Solvers Organizer: Jingmei Qiu Björn Gmeiner, University of Erlangen- 10:30-10:41 On Strategic Defense in University of Houston, USA Nuremberg, Germany; Holger Stengel, Stochastic Networks Erlangen Regional Computing Center, Ryan White and J. H. Dshalalow, Florida Organizer: Jeffrey A. Willert Los Alamos National Laboratory, USA Germany; Christian Waluga, Technical Institute of Technology, USA University of Munich, Germany; Barbara 9:10-9:30 Asymptotic-Preserving Wohlmuth, Technische Universität München, Scheme for the Fokker-Planck- Germany; Ulrich J. Ruede, University of Maxwell System in the Quasi-Neutral Erlangen-Nuremberg, Germany Regime Stephane Brull, Institut Polytechnique de 10:00-10:20 GPU for Adaptive Optics Bordeaux, France on Ground Based Astronomical Telescopes: Simulations and Real-Time Control Damien Gratadour and Eric Gendron, Observatoire de Paris, Meudon, France; Hatem Ltaief and Hatem Ltaief, King Abdullah University of Science & Technology (KAUST), Saudi Arabia

10:25-10:45 Extreme Scale Solution of continued on next page Engineering Applications Using Uintah Martin Berzins, University of Utah, USA 66 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 Sunday, March 15 Sunday, March 15 MS95 MS96 MS97 Computational Methods Computational Approaches Frameworks, Algorithms, for Kinetic Equations and and Multi-scale Modeling of and Scalable Technologies Related Models - Complex Fluids - Part I of II for Parallel Unstructured Part IV of V 9:10 AM-10:50 AM Mesh Workflows - Part I of II 9:10 AM-10:50 AM Room:150 DE 9:10 AM-10:50 AM continued For Part 2 see MS122 Room:258 Complex fluids, which are suspensions of For Part 2 see MS121 particles in a viscous liquid, can exhibit This minisymposium presents recent both viscous and elastic response to external advances in the development of parallel 9:35-9:55 Solving Kinetic Equations to forcing. Capturing the exact interplays unstructured mesh methods and highlights Model the Core-Collapse Supernova between the particles and the surrounding their use in applications. These technologies Explosion Mechanism fluid in a continuum modeling presents are designed and implemented to support Eirik Endeve and Cory Hauck, Oak Ridge significant challenges as hydrodynamics reliable simulation technologies that run on National Laboratory, USA; Yulong interactions happen on short and long today’s leadership-class parallel systems Xing, University of Tennessee and scales. Added difficulties arise when such with specific attention to next generation and Oak Ridge National Laboratory, USA; suspensions interact with boundaries, where emerging architectures that will bridge the Tony Mezzacappa, Oak Ridge National peculiar behavior has been experimentally peta-to-exascale gap. Unstructured meshing Laboratory, USA observed, or when the surrounding fluid technologies presented in these sessions 10:00-10:20 Versions of Discontinuous itself is viscoelastic, as it is the case of most will emphasize memory-efficiency through Galerkin Algorithms for Diffusion and biological liquid. This minisymposium’s goal array based data structures and adaptivity, for Energy-Conserving Hamiltonian is to explore recent advances, especially on increased fidelity through high-order Dynamics the computational front, on both topics. methods, and parallelism in mesh generation, Ammar Hakim, Princeton Plasma Physics Organizer: Christel Hohenegger adaptation, and in-memory workflows. Laboratory, USA; Greg Hammett, Eric University of Utah, USA Many of the minisymposium presentations Shi, Ian Abel, and Tim Stoltzfus-Dueck, are associated with the DOE SciDAC Organizer: Enkeleida Lushi Princeton University, USA FASTMath institute (http://www.fastmath- Brown University, USA scidac.org/). 10:25-10:45 Numerical Simulation of 9:10-9:30 Stabilizing the Collective the Crookes Radiometer Organizer: Cameron Smith Motion of Micro-swimmers using Guillaume Dechristé, Institut de Rensselaer Polytechnic Institute, USA Confinement Mathématiques de Bordeaux, France; Enkeleida Lushi, Brown University, USA Organizer: Mark S. Shephard Luc Mieussens, Universite de Bordeaux I, Rensselaer Polytechnic Institute, USA France 9:35-9:55 Flagellar Activity Influences Self-Organization in Confined 9:10-9:30 An Array-Based Mesh Microswimmer Suspensions Topological Representation That Alan Cheng Hou Tsang and Eva Kanso, Effectively Supports General Mesh University of Southern California, USA Modification Dan A. Ibanez and Mark S. Shephard, 10:00-10:20 Swimming Dynamics of Rensselaer Polytechnic Institute, USA Microorganisms in Viscoelastic Fluids Near a Wall 9:35-9:55 Efficient Unstructured Mesh Gaojin Li and Arezoo Ardekani, Purdue Traversal Methods Based on Array- University, USA Based Half Facets Navamita Ray, Argonne National Laboratory, 10:25-10:45 Dynamics of Micro- USA; Xinglin Zhao, Stony Brook Swimmers Inside a Peristaltic Pump University, USA; Vijay Mahadevan, Adam Stinchcombe, University of Michigan, Argonne National Laboratory, USA; USA; Enkeleida Lushi, Brown University, Xiangmin Jiao, State University of New USA York, Stony Brook, USA

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10:00-10:20 Threading Mesh Sunday, March 15 Sunday, March 15 Optimization Codes Using Transactional Memory MS98 MS99 Barna Bihari and Lori A. Diachin, Lawrence Livermore National Laboratory, USA; High-Order Methods Modeling Microswimmer Patrick M. Knupp, Sandia National for Computational Fluid Locomotion using the Method Laboratories, USA Dynamics - Part I of IV of Regularized Stokeslets 10:25-10:45 M3D-C1 Adaptive Loop Going from 2D Axisymmetric to Full 9:10 AM-10:50 AM 9:10 AM-10:50 AM 3D Room:259 Room:260 A E. Seegyoung Seol, Mark S. Shephard, For Part 2 see MS123 Microscopic swimmers live in highly viscous and Fan Zhang, Rensselaer Polytechnic Novel contributions in the field of high- environments where inertial effects are Institute, USA order numerical methods for computational negligible. The way that these organisms have fluid dynamics. Presentations will explore adapted to such unique conditions is of interest new high-order methods, benchmarking to biologists and engineers alike. For instance, of existing schemes, and applications to a better understanding of microswimmer turbulent flow problems. locomotion may enable the development of Organizer: Brian C. Vermeire novel biomedical technologies, such as mobile biosensors or drug delivery devices. This Imperial College London, United Kingdom minisymposium presents numerical studies of Organizer: Antony Jameson microswimmer motility performed using the Stanford University, USA method of regularized Stokeslets, a method Organizer: Peter E. Vincent designed for simulating low Reynolds number fluid- structure interactions. Easy to implement, Imperial College London, United Kingdom efficient, and highly adaptable, the method of 9:10-9:30 Theoretical Aspects of High- regularized Stokeslets is a powerful tool with Order Flux Reconstruction Schemes broad applicability. Peter E. Vincent, Imperial College London, Organizer: Jonathan H. Tu United Kingdom University of California, Berkeley, USA 9:35-9:55 Comparison of Continuous, 9:10-9:30 The Method of Regularized Discontinuous and Hybrid Finite Stokeslets: Motivation and Applications Element Methods for Accuracy and Efficiency Ricardo Cortez, Tulane University, USA Steven R. Allmaras, Marshall Galbraith, and 9:35-9:55 The Effects of Rotation and David l. Darmofal, Massachusetts Institute Translation on Flagellar Synchronization of Technology, USA Jonathan H. Tu, Murat Arcak, and Michel M. 10:00-10:20 Adaptive Multiresolution Maharbiz, University of California, Berkeley, Schemes for Discontinuous Methods USA Siva Nadarajah and Philip Zwanenburg, 10:00-10:20 Modeling Sperm Motility McGill University, Canada Using a Kirchhoff Rod Model 10:25-10:45 Goal-Oriented Curved Sarah D. Olson, Worcester Polytechnic Mesh Optimization for High-Order Institute, USA Finite-Element Methods 10:25-10:45 Bacteria Association with Krzysztof Fidkowski and Devina Sanjaya, Ciliated Surfaces University of Michigan, USA Eva Kanso, University of Southern California, USA 68 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 Sunday, March 15 Sunday, March 15 MS100 MS101 MS102 Analysis of Noisy Networks Advances in Radial Parallel, Adaptive Methods in Theory and Practice - Basis Function and Other for Logically Cartesian Part I of II Meshfree Methods - Meshes - Part I of II 9:10 AM-10:50 AM Part IV of V 9:10 AM-10:50 AM Room:260 B 9:10 AM-10:50 AM Room:151 DE For Part 2 see MS125 Room:151 AB For Part 2 see MS127 Network analysis is an elegant, graph-based For Part 3 see MS75 Adaptive refined Cartesian mesh methods, method for studying complex systems of For Part 5 see MS126 which started with the seminal paper by interacting entities. However, real-world Meshfree methods have many inherent Berger-Oliger in 1984 have now been observed systems inherently include some properties that make them useful for in development for just over 30 years. discrepancy from reality. For example, a variety of problems in science and However, there are still many questions measurements may not be exact, as not all engineering, from fitting data to numerically about the scalability of these methods. The relations are observed. Since traditional graph solving differential equations. Such methods meta-data needed to store sub-grid locations theory deals with exact mathematics, one offer geometric flexibility, non-uniform can become prohibitive, and dynamic of the most challenging aspects of network resolution, and advantageous trade-offs refinement an present a challenging parallel analysis is accounting for this noise. This between accuracy and computational costs. problem. However recent developments in minisymposium will include talks from This minisymposium focuses primarily on quad tree adaptation and other approaches application experts on how they handle noise, methods based on radial basis functions and for Berger-Oliger refinement may and presentations about the effect of noise other more general kernels. The talks will overcome some of these problems. In this in networks generally. We conclude with a address recent advances in the application minisymposium, speakers have been asked discussion on how the general theory and of these methods to large-scale problems in to address the scalability of their adaptive application-specific methods can benefit from biology, geophysics, image processing, and frameworks, and share experiences using each other. finance, as well as theoretical advances in available packages, including Chombo, Paramesh, p4est, AMRClaw, Overture, Organizer: Sanjukta Bhowmick the methods themselves. GeoClaw and ForestClaw. University of Nebraska, Omaha, USA Organizer: Varun Shankar Organizer: Donna Calhoun Organizer: Benjamin A. Miller University of Utah, USA Boise State University, USA Massachusetts Institute of Technology, USA Organizer: Grady B. Wright Organizer: Carsten Burstedde 9:10-9:30 Spectral Subgraph Detection Boise State University, USA Universität Bonn, Germany in Noisy, Uncertain Networks 9:10-9:30 Oversampling Near the Benjamin A. Miller, Massachusetts Institute of Boundary and Improved Exponential 9:10-9:30 Parallel, Adaptive, Multi Technology, USA Convergence Rates Block Methods for Cartesian Grids using ForestClaw 9:35-9:55 Epidemic in Time and Space: Barbara Zwicknagl, University of Bonn, Donna Calhoun, Boise State University, Modeling Spatial Outbreak Dynamics Germany USA; Carsten Burstedde, Universität Armin Mikler, University of North Texas, USA 9:35-9:55 Beyond Quasi-unifomity: Bonn, Germany 10:00-10:20 Analysis and Control Kernel Approximation with a Local 9:35-9:55 Progress in Parallel of Cascading Failures of Power Mesh Ratio Adaptive Methods for Storm Surge Transmission Systems: a Macro View Thomas C. Hangelbroek, University of Forecasting Daniel Bienstock and Guy Grebla, Columbia Hawaii, Manoa, USA Kyle T. Mandli, Columbia University, USA University, USA 10:00-10:20 Fast Computation of 10:00-10:20 Using Explicit Filtering and 10:25-10:45 Visual Analytics for Orthonormal Bases for RBF Native Spaces Reconstruction to Improve Large- Detection and Tracking of Emergent Eddy Simulation of the Atmosphere Subgraphs in Social Networks Stefano De Marchi and Gabriele Santin, University of Padova, Italy on Adaptive Grids Nadya Bliss and Ross Maciejewski, Arizona Lauren Goodfriend and Fotini Katopodes State University, USA 10:25-10:45 Meshless Vector Field Chow, University of California, Berkeley, Approximation with Radial Basis USA; Marcos Vanella and Elias Balaras, Functions George Washington University, USA Edward Fuselier, High Point University, USA; Grady B. Wright, Boise State 10:25-10:45 Local Time Stepping for University, USA Parallel Adaptive Mesh Refinement Simulation Jeremy E. Kozdon and Lucas Wilcox, Naval Postgraduate School, USA 2015 SIAM Conference on Computational Science and Engineering 69

Sunday, March 15 Sunday, March 15 Sunday, March 15 MS103 IP4 PD2 Panel High- and Low-order Finite Extreme-scale Multigrid in Ask The Program Manager: Element Software for the Space and Time Funding Future - Part I of II 11:20 AM-12:05 PM 12:15 PM-1:30 PM 9:10 AM-10:50 AM Room:355 Room:355 D Room:151 G Chair: Irad Yavneh, Technion Israel Institute Chair: Hank Childs, Lawrence Berkeley For Part 2 see MS128 of Technology, Israel National Laboratory and University of As scientific problems become larger, Multigrid methods are important techniques Oregon, USA computational platforms become more for efficiently solving huge linear systems Chair: Vincent Heuveline, Heidelberg diverse and the complexity of finite element and they have already been shown to scale University, Germany software increases, it is essential to develop effectively on millions of cores. Future software in a sustainable way. The role of exascale architectures will require solvers Program managers from government software design and the need to effectively to exhibit even higher levels of concurrency agencies receive many requests for research manage the development process is therefore (1B cores), minimize data movement, exploit funding. What are they really seeking? What more important than ever before. This machine heterogeneity, and demonstrate makes a research proposal stand out? How minisymposium will discuss experiences of resilience to faults. While considerable can you build a research program that is how high- and low-order FEM software can be research and development remains to be attractive to these agencies? How can you designed, developed and maintained to achieve done, multigrid approaches are ideal for conduct your research to make the biggest maximum performance while remaining addressing these challenges. In this talk, we impact and increase your chances of future robust, rigorously tested and able to grow and will discuss efforts to develop extreme-scale funding? What opportunities are presently adapt with the changing needs of the research multigrid, including a new parallel time available? We address all these questions and environment, improvements in the methods integration approach that has the potential more as a part of this panel discussion. and the evolving hardware landscape. for significant speedups over standard time Panelists To Be Announced Organizer: David Moxey stepping. Imperial College London, United Kingdom Robert Falgout Organizer: Chris Cantwell Lawrence Livermore National Laboratory, Imperial College London, United Kingdom USA Organizer: Spencer Sherwin Imperial College London, United Kingdom 9:10-9:30 Architecting Spectral/HP Lunch Break Element Codes for Modern Hardware 12:05 PM-1:30 PM Chris Cantwell and David Moxey, Imperial College London, United Kingdom; Mike Attendees on their own Kirby, University of Utah, USA; Spencer Sherwin, Imperial College London, United Kingdom 9:35-9:55 What Makes Computational Open Source Libraries Successful? Timo Heister, Clemson University, USA; Wolfgang Bangerth, Texas A&M University, USA 10:00-10:20 Applying Object-oriented Programming to PDE Solutions Hugh Blackburn, Monash University, Australia 10:25-10:45 Efficient Multithreading Algorithms for High-Order Tensor- Product Finite Elements Timothy Warburton, David Medina, and Rajesh Gandham, Rice University, USA

Coffee Break 10:50 AM-11:20 AM Room:255 70 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 Sunday, March 15 Sunday, March 15 MT2 MS104 MS105 Minitutorial: Python Visual Featured Minisymposium: Computational Engineering Analytics for Big Data - Distributed Methods for (BGCE) Student Paper Prize- Part II of II Optimization Part II of II 1:30 PM-3:10 PM 1:30 PM-3:10 PM 1:30 PM-3:10 PM Room:355 Room:355 A Room:250 A For Part 1 see MT1 Recent advances in data collection, For Part 1 see MS80 Chair: Jonathan Woodring, Los Alamos collaborative filtering, and wireless The 5th Bavarian Graduate School in National Laboratory, USA technology have lead to an unprecedented Computational Engineering (BGCE) Student growth in demand for distributed Paper Prize will be awarded at the 2015 Python is a powerful development, optimization problems with huge data SIAM CS&E Conference for outstanding computational, and programming sets. The resulting optimization problems student work in the field of Computational environment due to the wide variety of are characterized by distributed and Science and Engineering. Eligible for the libraries developed for it, and importantly, uncertain information, necessitating prize will be undergraduate and graduate the enthusiastic, active development and user computations to be done in a non-traditional students prior to receiving their PhD. community. One of the areas where Python environment, with imperfect information, Candidates are required to summarize their excels is visualization and analysis of big over a communication network, and most work in a short paper of at most 4 pages. data, due to several high-quality modules for importantly without a central entity that has The prize finalists will present their work both simple and advanced visual analytics. an access to the whole information. This in this minisymposium. The prize award This tutorial will cover the following big- minisymposium focuses on most recent announcement will be scheduled at one of data visualization capabilities in Python: optimization techniques dealing with large the last days of the conference. interactive plotting with IPython, matplotlib, data sets and distributed components over Organizer: Tobias Neckel and databases, building web visualizations possibly uncertain networks. with Bokeh, and Python integration with Technische Universität München, Germany Organizer: Wotao Yin VTK and ParaView. Additional information Organizer: Hans-Joachim University of California, Los Angeles, USA will be provided on mapreduce and NoSQL Bungartz capabilities. This tutorial is intended for 1:30-1:50 Distributed Optimization in Technische Universität München, Germany intermediate-level participants who have a Directed Graphs: Push-Sum Based basic understanding of the Python language Algorithms Organizer: Ulrich J. Ruede and development environment (i.e., the Angelia Nedich and Alexander Olshevsky, University of Erlangen-Nuremberg, student ought to have an understanding of University of Illinois at Urbana- Germany native (and ideally numpy) data structures, Champaign, USA Speakers To Be Announced file I/O, and is able to develop and run simple programs). Beginner participants are 1:55-2:15 Distributed Optimization in welcome, but Python fundamentals, such Undirected Graphs: Gradient and as language constructs, “hello world,” and EXTRA Algorithms program execution will not be covered in Wotao Yin, University of California, Los this tutorial. Angeles, USA; Qing Ling and Kun Yuan, University of Science and Technology of Topic C: Bokeh using Blaze China, China Andy R. Terrel, Continuum Analytics, USA 2:20-2:40 On the O(1/k) Topic D: VTK + ParaView using HDF5 Convergence of Asynchronous & NetCDF Distributed Alternating Direction Patrick O’Leary, Kitware, Inc., USA Method of Multipliers Ermin Wei and Asuman Ozdaglar, Massachusetts Institute of Technology, USA 2:45-3:05 Blessing of Scalability: A Tractable Dual Decomposition l-0 Approach for Large Graph Estimation Mengdi Wang, Princeton University, USA 2015 SIAM Conference on Computational Science and Engineering 71

Sunday, March 15 2:20-2:40 Quasi-optimal Polynomial Sunday, March 15 Approximation of PDEs with Linear MS106 and Nonlinear Stochastic Coefficients MS107 Clayton G. Webster, Hoang A. Tran, and High-dimensional Guannan Zhang, Oak Ridge National Resilience in Numerical Approximation and Laboratory, USA; Ronald DeVore, Texas Simulations and Algorithms Integration: Analysis and A&M University, USA at Extreme Scale: Part II of IV Computation - Part II of V 2:45-3:05 Combining Sparsity and - Runtime Smoothness for Function Interpolation 1:30 PM-3:10 PM Rachel Ward, University of Texas at Austin, 1:30 PM-3:10 PM Room:250 B USA; Holger Rauhut, RWTH Aachen Room:250 C University, Germany For Part 1 see MS81 For Part 1 see MS82 For Part 3 see MS133 For Part 3 see MS134 This minisymposium focuses on the The advent of extreme scale machines will fundamental problem of how to accurately require the use of parallel resources at an approximate solutions of both forward unprecedented scale, probably leading to a and inverse high-dimensional functions. high rate of hardware faults. Handling fully Predicting the behavior of complex these faults at the computer system level may phenomena relies on constructing solutions have a prohibitive cost. High performance in terms of high dimensional spaces, computing applications that aim at exploiting particularly in the case when the input all these resources will thus need to be data (coefficients, forcing terms, initial resilient, in this minisymposium different and boundary conditions, geometry) are complementary approaches and methods will affected by large amounts of uncertainty. be presented to possibly address this key The resulting explosion in computational aspect of extreme scale computing. effort is a symptom of the curse of Organizer: Keita Teranishi dimensionality and this symposium aims at Sandia National Laboratories, USA exploring breakthroughs in sparse sampling and representations, nonlinear and greedy Organizer: Luc Giraud approximations, compressed sensing, INRIA, France multilevel methods, and ”best-N-term” Organizer: Michael Heroux approximations. Sandia National Laboratories, USA Organizer: Clayton G. Webster Organizer: Emmanuel Agullo Oak Ridge National Laboratory, USA INRIA, France Organizer: Guannan Zhang 1:30-1:50 Runtime Systems for Fault Oak Ridge National Laboratory, USA Tolerant Computing Organizer: Max Gunzburger Marc Casas, Barcelona Supercomputing Florida State University, USA Center, Spain Organizer: Albert Cohen 1:55-2:15 Fenix: A Framework for Université Pierre et Marie Curie, France Online Failure Recovery for Scientific Simulations Towards Exascale 1:30-1:50 Polynomial Approximation Marc Gamell, Rutgers University, USA; of Random PDEs by Discrete Least Daniel Katz, Argonne National Laboratory, Squares USA; Keita Teranishi, Hemanth Kolla, Fabio Nobile, EPFL, Switzerland; Raul F. and Jacqueline Chen, Sandia National Tempone, King Abdullah University of Laboratories, USA; Scott Klasky, Oak Science & Technology (KAUST), Saudi Ridge National Laboratory, USA; Manish Arabia; Giovanni Migliorati, EPFL, Parashar, Rutgers University, USA Switzerland 2:20-2:40 Understanding the Impact 1:55-2:15 High Dimensional of Transient Faults at the Application Interpolation for Non Intrusive Level in HPC Treatment of Parametric PDEs Ignacio Laguna, Lawrence Livermore National Abdellah Chkifa and Albert Cohen, Laboratory, USA Université Pierre et Marie Curie, France; Christoph Schwab, ETH Zürich, 2:45-3:05 DHARMA: Distributed Switzerland asyncHronous Adaptive Resilient Management of Applications continued in next column Hemanth Kolla, Janine C. Bennett, Jeremiah Wilke, Nicole Slattengren, Keita Teranishi, and John Floren, Sandia National Laboratories, USA 72 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 Sunday, March 15 Sunday, March 15 MS108 MS109 MS110 Preconditioning and Error Analysis and Advanced Finite Element Iterative Methods for Linear Scalability of UQ Methods for Nonlinear Systems - Part II of II Methodologies for Inverse Materials and Fluids - 1:30 PM-3:10 PM Problems - Part II of II Part II of III Room:250 D 1:30 PM-3:10 PM 1:30 PM-3:10 PM For Part 1 see MS83 Room:250 E Room:250 F The solution of large, sparse linear systems For Part 1 see MS84 For Part 1 see MS85 remains the limiting component of many The application of novel uncertainty For Part 3 see MS137 problems. Iterative solvers are often the quantification (UQ) methodologies to Numerical modeling of materials and fluids methods of choice for such systems, solve stochastic inverse problems for a with nonlinear behavior plays an increasing and effective preconditioning is usually physical system has improved the predictive role in computational science and engineering, necessary to achieve an acceptable speed capabilities of many computationally particularly in the high-fidelity simulation of of convergence. In this minisymposium complex models. However, a full error elastic and plastic deformations, magneto- we focus on recent developments in analysis and study of scalability for the sensitive materials, liquid crystals, biological preconditioning, the convergence of solvers combined UQ method and computational tissues and blood flow, among others. Despite and the application of iterative methods. model is often lacking. This session a long history of efforts, there is still a need for Organizer: Jennifer Pestana addresses the issues of error analysis and the development of advanced finite-element University of Manchester, United Kingdom scalability of several UQ methods applied to methods with specific properties such as stochastic inverse problems associated with accurate representation of stresses, forces, and Organizer: Andy Wathen specific complex physical systems. Both other quantities depending on the application. University of Oxford, United Kingdom a priori and a posteriori error analyses of In many of these applications, mesh-adaptive 1:30-1:50 Exploiting Tropical Algebra deterministic and stochastic sources of error implementations and efficient solvers are an in the Construction of Preconditioners are considered along with computational important issue due to the size and complexity James Hook, Jennifer Pestana, and challenges in scaling such analyses. of the problems. Francoise Tisseur, University of Organizer: Troy Butler Organizer: James H. Adler Manchester, United Kingdom University of Colorado, Denver, USA Tufts University, USA 1:55-2:15 The Solution of Lyapunov Organizer: Steven Mattis Organizer: Gerhard Starke Equations with Nonnormal University of Texas at Austin, USA University of Duisburg-Essen, Germany Coefficients Mark Embree, Virginia Tech, USA; Jonathan 1:30-1:50 A Scalable Measure- Organizer: Thomas Manteuffel Baker, Rice University, USA; John Theoretic Approach to the Stochastic University of Colorado Boulder, USA Sabino, The Boeing Company, USA Inverse Problem for Groundwater Contamination 1:30-1:50 Hybrid FOSLS/ll* for Nonlinear 2:20-2:40 The Surprising Robustness of Steven Mattis and Clint Dawson, University Systems of PDEs the Tracemin Eigensolver to Incorrect of Texas at Austin, USA; Troy Butler, Thomas Manteuffel, Kuo Liu, Lei Tang, and Linear Solves University of Colorado, Denver, USA John Ruge, University of Colorado Boulder, Alicia Klinvex, Purdue University, USA; USA; Chad Westphal, Wabash College, Michael Heroux, Sandia National 1:55-2:15 A Scalable Computational USA Laboratories, USA; Ahmed Sameh, Framework for Estimating Model Discrepancy 1:55-2:15 Nested Iteration and Purdue University, USA; Mark Hoemmen, Adaptive Finite Elements for Ice Sheet Sandia National Laboratories, USA Nishant Panda, Colorado State University, USA Models 2:45-3:05 Numerical Solution of PDEs Jeffery M. Allen and Thomas Manteuffel, Posed on Graphs 2:20-2:40 Quantifying Error in An University of Colorado Boulder, USA; Michele Benzi, Emory University, USA Inadequate Model for Flow in a Harihar Rajaram, University of Colorado, Porous Media USA Teresa Portone, Damon Mcdougall, Todd Oliver, and Robert D. Moser, University 2:20-2:40 Parametric Mixed Finite of Texas at Austin, USA Elements for Two-Phase Flow Interface Problems 2:45-3:05 Error Decomposition and Fleurianne Bertrand, Gerhard Starke, and Adaptivity for Response Surface Steffen Münzenmaier, University of Approximations with Application to Duisburg-Essen, Germany Bayesian Inference Corey M. Bryant, Serge Prudhomme, and 2:45-3:05 A Least Squares Finite Todd Oliver, University of Texas at Austin, Element Method for Coupled Surface/ USA; Tim Wildey, Sandia National Subsurface Flows Laboratories, USA Steffen Münzenmaier, University of Duisburg- Essen, Germany 2015 SIAM Conference on Computational Science and Engineering 73

Sunday, March 15 2:20-2:40 Least Squares Shadowing Sunday, March 15 for Adjoint Calculation of Chaotic MS111 and Turbulent Pdes MS112 Patrick Blonigan and Qiqi Wang, Adjoint Methods for Massachusetts Institute of Technology, Scientific Software Unsteady and Chaotic USA Productivity at Extreme PDEs and Large-scale 2:45-3:05 Parallel Bayesian Scale Optimization and Control - Optimization of Massively Parallel Turbulent Flow Simulations 1:30 PM-3:10 PM Part II of II Chaitanya Talnikar, Massachusetts Institute Room:251 B 1:30 PM-3:10 PM of Technology, USA There has been a recent renewed focus Room:251 A on software productivity for scientific applications, especially those that require For Part 1 see MS86 performance at extreme scales (10k+ and We expose a growing intersection of GPU-accelerated cores). The goal of this optimization and control using large- minisymposium is to engage the broader scale, unsteady PDE-based simulations. computational science and engineering This intersection has traditionally been software community, to discuss productivity small because most practitioners perform issues that arise when developing high- optimization and control using inexpensive, performance applications. The session reduced order models; however, this will include an overview presentation of is changing. Current-day simulations forums and efforts focusing on productivity solving unsteady and chaotic PDEs, (including a recently funded initiative within such as the Navier-Stokes equations, are DOE); two science application presentations, leveraging advance in high performance oriented towards software productivity computing. Petascale, and soon exascale, considerations; and an open facilitated supercomputers are increasingly available session to gather SIAM CSE community to researchers, enabling them to attempt concerns and priorities. optimization and control directly using large-scale simulations. The resulting area Organizer: Hans Johansen of large-scale optimization and control, Lawrence Berkeley National Laboratory, particularly with the aid of the unsteady USA adjoint method, is the theme of this Organizer: Lois Curfman McInnes proposed minisymposium. Argonne National Laboratory, USA Organizer: Qiqi Wang 1:30-1:50 Overview: Software Massachusetts Institute of Technology, USA Productivity Challenges for Extreme Organizer: Nicolas R. Gauger Scale Science Technische Universität Kaiserslautern, Lois Curfman McInnes, Argonne National Germany Laboratory, USA; Hans Johansen, Lawrence Berkeley National Laboratory, Organizer: Daniel J. Bodony USA; Michael Heroux, Sandia National University of Illinois at Urbana-Champaign, Laboratories, USA USA 1:55-2:15 Software Productivity 1:30-1:50 Actuator and Sensor Application: Integrated Modeling for Placement for Controlling High- Fusion Energy Speed Jet Noise David E. Bernholdt, Wael R. Elwasif, and Mahesh Natarajan and Daniel J. Bodony, Donald B. Batchelor, Oak Ridge National University of Illinois at Urbana- Laboratory, USA Champaign, USA 2:20-2:40 Software Productivity 1:55-2:15 Using Imperfect Outputs Challenges in Environmental and Derivatives in Large-scale Applications Optimization David Moulton and Ethan T. Coon, Los Jason E. Hicken, Rensselaer Polytechnic Alamos National Laboratory, USA; Carl Institute, USA Steefel, Lawrence Berkeley National Laboratory, USA 2:45-3:05 Software Productivity Community Input: Concerns and Priorities Jeffrey C. Carver, University of Alabama, continued in next column USA; Michael Heroux, Sandia National Laboratories, USA 74 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 Sunday, March 15 1:55-2:15 A Fast Explicit Operator Splitting Method for a Multi-scale MS113 MS114 Underground Oil Recovery Model Ying Wang, University of Oklahoma, USA Fluid Transport Dynamics in AWM Meeting - Workshop: 2:20-2:40 Computational Study of Biology and Medicine Research Talks by Recent Dynamics and Transport in Vortex- Ph.D.s: Mathematical Dipole Flows 1:30 PM-3:10 PM Modeling and High- Ling Xu, Georgia State University, USA Room:251 C performance Computing 2:45-3:05 A Stabilized Explicit Part of the SIAM Workshop Celebrating for Multi-physics and Multi- Scheme for Coupling Fluid-structure Diversity Interactions Fluid dynamics, especially blood flow, govern scale Problems. Part II of II Yue Yu, Lehigh University, USA many physiological processes. The function 1:30 PM-3:10 PM of biological entities and the success of clinical treatments can be affected by the fluid Room:251 D environment. Understanding the transport For Part 1 see MS89 mechanisms from vessels into the surrounding Sponsored by Association for Women in medium is also critical in the design of drug Mathematics (AWM) delivery vehicles and treatment protocols. This minisymposium highlights selected This session will highlight mathematical research talks by female recent Ph.D.s in and computational methods for simulating developing multiscale multiphysics models, important flow-dependent processes, including computational methodologies, and high- biological and therapeutic applications. performance computing. Advances in science Organizer: Erica J. Graham and engineering—in disciplines ranging North Carolina State University, USA from health to energy and the environment to defense—rely on predictive measurement Organizer: Ami Radunskaya and analysis of multiscale multiphysics Pomona College, USA systems. Such advances are essential for Organizer: Raegan Higgins scientific discovery, engineering design Texas Tech University, USA and policy making. The participants of the minisymposium will discuss advanced Organizer: Susan E. Minkoff computational algorithms and simulation University of Texas at Dallas, USA strategies for solving modern and next- Organizer: Stephen Wirkus generation systems that require analyzing Arizona State University, USA complex physical phenomena such as fluid- solid interactions, mechanics of biological 1:30-1:50 Modeling the Effects of Flow materials, moleculer motions, charge on Anticoagulant Therapy transport, ocean and cloud dynamics, and oil Erica J. Graham, North Carolina State recovery process. The topics include physical University, USA; Lisette dePillis, Harvey modeling, mathematical analysis, numerical Mudd College, USA; Kaitlyn Hood, analysis, algorithms, implementation, University of California, Los Angeles, USA; performance, and scalability. This Yanping Ma, Loyola Marymount University, minisymposium is part of the Association for USA; Julie Simons, Tulane University, USA; Women in Mathematics(AWM) workshop Ami Radunskaya, Pomona College, USA that will promote cross-fertilization of 1:55-2:15 Navier Slip Condition for ideas among women scientists in multiple Viscous Fluids on a Rough Boundary disciplines. Silvia Jimenez Bolanos, Colgate University, Organizer: MiSun Min USA; Bogdan M. Vernescu, Worcester Argonne National Laboratory, USA Polytechnic Institute, USA Organizer: Fengyan Li 2:20-2:40 Cooperative Swimming in Rensselaer Polytechnic Institute, USA Viscous Environments Julie Simons, Lisa J. Fauci, and Ricardo Organizer: Jingmei Qiu Cortez, Tulane University, USA University of Houston, USA 2:45-3:05 Taming Targeted Drug 1:30-1:50 A Study of the Delivery: a Mathematical Model of Entanglement in Polymer Melts Triggered Drug Delivery Across the Eleni Panagiotou, University of California, Blood-Brain Barrier Santa Barbara, USA Ami Radunskaya, Pomona College, USA

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Sunday, March 15 Sunday, March 15 Sunday, March 15 MS115 MS116 MS117 Software and Methods Parametric Model Applied Mathematics for Spatial Modeling and Reduction and Inverse and Computation in the Simulation in Systems Problems - Part II of IV Pharmaceutical Industry - Biology - Part II of II 1:30 PM-2:45 PM Part II of II 1:30 PM-3:10 PM Room:251 F 1:30 PM-2:45 PM Room:251 E For Part 1 see MS91 Room:254 A For Part 1 see MS90 For Part 3 see MS143 For Part 1 see MS92 Simulation of spatially inhomogeneous In recent years model reduction techniques The pharmaceutical industry continues biological systems is a challenging problem have been used to efficiently solve forward to rapidly develop analytical capabilities that has motivated the development of problems given, for instance, as PDEs, tackling scientific, engineering, various software packages. Simulation dynamical systems or complex networks. manufacturing and market challenges. challenges include the multiphysics/ In this minisymposium we want explore We highlight current mathematical and multiscale nature of the systems and applications of model reduction in the computational frontiers and areas of interest the need to capture stochastic effects. context of inverse problems. to the industry in this minisymposium. Modeling challenges include specification Organizer: Eldad Haber Specific areas include modeling and of the reaction systems, geometry and University of British Columbia, Canada simulation, optimization, image processing mesh generation for complex and dynamic and data mining/modeling. Modeling and shapes. Software issues include testing Organizer: Lars Ruthotto simulation is used in both scientific and and verification, user community issues, Emory University, USA business applications within the industry. and dissemination and promotion. Also, Organizer: Eric De Sturler We highlight disease and treatment models there are the issues of model sharing, Virginia Tech, USA as well as models underlying objective validation and reproducibility of results. functions in optimization. Data mining/ This minisymposium brings together Organizer: Misha E. Kilmer modeling is now driven by large amounts of representatives of different software Tufts University, USA biomarker data varying from next generation packages from the computational systems Organizer: Christopher A. Beattie sequencing to ultra-high resolution imaging. biology community to discuss these Virginia Tech, USA Organizer: Jeffrey Saltzman challenges. Organizer: Serkan Gugercin AstraZeneca, USA Organizer: Andreas Hellander Virginia Tech, USA 1:30-1:50 Imaging Biomarkers in Uppsala University, Sweden 1:30-1:50 From Data to Prediction Via Biopharmaceutical Industry 1:30-1:50 Interactive, Distributed Reduced Parameter-to-Observable Belma Dogdas, Merck & Co., Inc., USA Spatial Stochastic Simulation with Maps: Applications to Antarctic Ice 1:55-2:15 Imaging Genomics for PyURDME and MOLNs Sheet Flow Pharmaceutical Applications Brian Drawert, University of California, Omar Ghattas and Toby Isaac, University Sangeetha Somayajula and Chandni Santa Barbara, USA of Texas at Austin, USA; Noemi Petra, Valiathan, Merck & Co., Inc., USA 1:55-2:15 Gepetto/OpenWorm University of California, Merced, 2:20-2:40 Simulation-Based Analysis Stephen Larson, OpenWorm.org, USA USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York of Complex Decision Options in 2:20-2:40 Reaction-diffusion and University, USA Pharmaceutical Research and Electrical Signaling in Neurons Development (Rdesigneur): a System for Multiscale 1:55-2:15 Combined State and Otto Ritter, Independent Consultant, USA Modeling in MOOSE Parameter Reduction for the Inversion Upinder Bahlla, National Center for of Functional Neuroimaging Data Biological Sciences, India Christian Himpe, University of Münster, Germany; Mario Ohlberger, University of 2:45-3:05 Stochastic Simulation at Muenster, Germany Your Service Linda R. Petzold, University of California, 2:20-2:40 Convergence of Inverse Santa Barbara, USA Problems using Reduced Order Models Eric De Sturler, Virginia Tech, USA 76 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 Sunday, March 15 Sunday, March 15 MS118 MS119 MS120 Computational Applications Student Days: SIAM Student Computational Methods Performing at Petascale Chapter Presentations - for Kinetic Equations and Level and Beyond - Part II of II Related Models - Part V of V Part II of II 1:30 PM-3:10 PM 1:30 PM-3:10 PM 1:30 PM-3:10 PM Room:254 C Room:150 AB Room:254 B For Part 1 see MS94 For Part 4 see MS95 SIAM Student Chapter presentations. Kinetic descriptions play an important role For Part 1 see MS93 in a variety of physical, biological, and even Large-scale simulations are required Organizer: Rachel Levy social applications. Unfortunately, the large to validate and then exercise complex Harvey Mudd College, USA phase space associated with the kinetic multiscale models such as weather 1:30-1:41 Sublinear Preconditioners description has in the past made simulations forecasting, computational astronomy, or for the 2D Helmholtz Equation impractical in most settings. However, industrial burners. This minisymposium Leonardo Zepeda-Núñez and Laurent recent advances in computer resources and highlights the impact of petascale computing Demanet, Massachusetts Institute of numerical algorithms are making kinetic on scientific discoveries by presenting Technology, USA models more tractable, and this trend is the recent work of several research teams expected to continue in the future. The that develop and employ applications to 1:46-1:57 Solving the Heat Equation purpose of this minisymposium is to report tackle such challenging problems using with Wavelets on the continuing progress on numerical full capabilities of modern leadership-class Anne Reinarz and Alexey Chernov, analysis and computational science for supercomputers. Discussions emphasize both University of Reading, United Kingdom kinetic equations. It brings together the scientific impact of the related work and 2:02-2:13 Analysis of a researchers from applied mathematics, the challenges associated with computing at Heterogeneous Multiscale Method for computational science, physics, and such scale. Poroelasticity engineering communities to discuss their Organizer: Bilel Hadri Paul M. Delgado, Vinod Kumar, and Son work and exchange ideas. King Abdullah University of Science & Young Yi, University of Texas at El Paso, Organizer: Martin Frank Technology (KAUST), Saudi Arabia USA RWTH - Aachen University of Technology, Organizer: Hatem Ltaief 2:18-2:29 Experimental Analysis of the Germany King Abdullah University of Science & Performance of GeoClaw, AnuGA and SurfWB-UC Numerical Models for Organizer: Cory Hauck Technology (KAUST), Saudi Arabia the Simulation of Tsunami Inundation Oak Ridge National Laboratory, USA 1:30-1:50 What Are the Priorities Phenomena Organizer: Ryan G. McClarren Beyond Petascale Computing? José Galaz and Rodrigo Cienfuegos, Texas A&M University, USA Thomas C. Schulthess, ETH Zürich, Pontificia Universidad Católica de Chile, Switzerland Chile Organizer: Jingmei Qiu University of Houston, USA 1:55-2:15 Petascale Medical 2:34-2:45 Stabilization in Relation to Simulations Wavenumber in HDG Methods Organizer: Jeffrey A. Willert Michael Resch, University of Stuttgart, Nicole Olivares and Jay Gopalakrishnan, Los Alamos National Laboratory, USA Germany; Ralf Schneider, High Portland State University, USA; Liang 1:30-1:50 Kinetic Equation in a Performance Computing Center Stuttgart, Li, University of Electronic Science and Bounded Domain Germany Technology of China, China; Ronan Qin Li, California Institute of Technology, 2:20-2:40 Petascale Simulation of Perrussel, Universite de Toulouse, France USA Hurricane Sandy Using WRF Weather 2:50-3:01 Incompressible Flow and Model on Cray XE6 Blue Waters 1:55-2:15 A Fast Conservative (Stabilised) Mixed Finite Element Spectral Solver for the Nonlinear Pete Johnsen, Cray, Inc., USA; Mark Starka, Methods on Highly Stretched Meshes Boltzmann Collision Operator National Center for Supercomputing Andreas Wachtel, University of Strathclyde, Jeffrey Haack, University of Texas at Austin, Applications (NCSA), USA; Melvyn United Kingdom; Mark Ainsworth, Brown USA; Jingwei Hu, Purdue University, Shapiro, Alan Norton, and Thomas University, USA; Gabriel R. Barrenechea, USA; Irene M. Gamba, University of Galarneau, National Center for University of Strathclyde, United Texas at Austin, USA Atmospheric Research, USA Kingdom 2:45-3:05 Petascale Simulations of Cloud Cavitation Collapse Costas Bekas, IBM Research, USA

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2:20-2:40 High-Order Semi- Sunday, March 15 2:20-2:40 Parallel Mesh Curving and Lagrangian Discontinuous Galerkin Adaptation with High-Order Surface Methods for Kinetic Plasma Models MS121 Continuity for High-Order Finite David C. Seal, Michigan State University, Element Simulations USA; James A. Rossmanith, Iowa State Frameworks, Algorithms, Qiukai Lu, Dan A. Ibanez, and Mark University, USA; Andrew J. Christlieb, and Scalable Technologies S. Shephard, Rensselaer Polytechnic Michigan State University, USA for Parallel Unstructured Institute, USA 2:45-3:05 A Monte Carlo Method Mesh Workflows - Part II of II 2:45-3:05 High-Order Surface with Negative Particles for General Reconstruction with Applications in Binary Collisions and Application to 1:30 PM-3:10 PM Parallel Meshing and Finite Element Coulomb Collisions Room:258 Solvers Bokai Yan and Russel Caflisch, University of Xiangmin Jiao, State University of New California, Los Angeles, USA For Part 1 see MS97 York, Stony Brook, USA; Navamita Ray, This minisymposium presents recent Argonne National Laboratory, USA; advances in the development of parallel Cao Lu and Xinglin Zhao, Stony Brook unstructured mesh methods and highlights University, USA their use in applications. These technologies are designed and implemented to support reliable simulation technologies that run on today’s leadership-class parallel systems with specific attention to next generation and emerging architectures that will bridge the peta-to-exascale gap. Unstructured meshing technologies presented in these sessions will emphasize memory-efficiency through array based data structures and adaptivity, increased fidelity through high-order methods, and parallelism in mesh generation, adaptation, and in-memory workflows. Many of the minisymposium presentations are associated with the DOE SciDAC FASTMath institute (http://www.fastmath- scidac.org/). Organizer: Cameron Smith Rensselaer Polytechnic Institute, USA Organizer: Mark S. Shephard Rensselaer Polytechnic Institute, USA 1:30-1:50 Parallel Meshing Technologies for Large Scale Adaptive Simulations Saurabh Tendulkar, Mark Beall, and Rocco Nastasia, Simmetrix, Inc., USA; Mark S. Shephard, Rensselaer Polytechnic Institute, USA 1:55-2:15 OCC-Based Meshing for RGG Applications Using MeshKit Rajeev Jain, Argonne National Laboratory, USA; Jacob Becker, Kitware, Inc., USA; Vijay Mahadevan, Argonne National Laboratory, USA; Patrick Shriwise, University of Wisconsin, Madison, USA; Robert O’Bara, Kitware, Inc., USA; Iulian Grindeanu, Argonne National Laboratory, USA

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Sunday, March 15 Sunday, March 15 Sunday, March 15 MS122 MS123 MS124 Computational Approaches High-Order Methods Large Scale Phasefield and Multi-scale Modeling of for Computational Fluid Simulations of Solidification Complex Fluids - Part II of II Dynamics - Part II of IV Processes 1:30 PM-3:10 PM 1:30 PM-3:10 PM 1:30 PM-3:10 PM Room:150 DE Room:259 Room:260 A For Part 1 see MS96 For Part 1 see MS98 In this minisymposium we focus on Complex fluids, which are suspensions of For Part 3 see MS150 the formation of patterns during the particles in a viscous liquid, can exhibit Novel contributions in the field of high- solidification process of binary and both viscous and elastic response to external order numerical methods for computational ternary eutectic systems using phase- forcing. Capturing the exact interplays fluid dynamics. Presentations will explore field simulations. Depending on several between the particles and the surrounding new high-order methods, benchmarking different material and process parameters, fluid in a continuum modeling presents of existing schemes, and applications to the occurring patterns are changing. These significant challenges as hydrodynamics turbulent flow problems. patterns have a significant influence on the interactions happen on short and long Organizer: Brian C. Vermeire mechanical properties of the component. For the prediction of realistic and nonideal scales. Added difficulties arise when such Imperial College London, United Kingdom suspensions interact with boundaries, where systems and to minimize the boundary peculiar behavior has been experimentally Organizer: Antony Jameson effects, large simulation domains are observed, or when the surrounding fluid Stanford University, USA required. To solve the phase-field evolution itself is viscoelastic, as it is the case of most Organizer: Peter E. Vincent equations coupled with the evolution of concentration and temperature, in large biological liquid. This minisymposium’s goal Imperial College London, United Kingdom is to explore recent advances, especially on domains, highly parallel and optimized the computational front, on both topics. 1:30-1:50 Further Developments in the algorithms are needed. For this some of the Flux Reconstruction Method largest, currently available, computers are Organizer: Christel Hohenegger Antony Jameson, Stanford University, USA used. University of Utah, USA 1:55-2:15 Spectral Difference Method Organizer: Harald Koestler Organizer: Enkeleida Lushi for Large Eddy Simulation Using Non- University of Erlangen-Nuremberg, Brown University, USA Conforming and Sliding Meshes Germany 1:30-1:50 Computational Models of Bin Zhang and Chunlei Liang, George Cilia and Flagella in a Brinkman Fluid Washington University, USA Organizer: Martin Bauer University of Erlangen-Nuremberg, Karin Leiderman, University of California, 2:20-2:40 Turbulent Wall Modelling for Germany Merced, USA; Sarah D. Olson, Worcester High-Order Unstructured Methods on Polytechnic Institute, USA GPUs 1:30-1:50 Massively Parallel 1:55-2:15 Accurate Simulations of Brian C. Vermeire and Peter E. Vincent, Phase-Field Simulations using HPC Complex Fluid Flow in Domains with Imperial College London, United Framework waLBerla Smooth Boundaries Using Fft-Based Kingdom Martin Bauer, Harald Koestler, and Ulrich Spectral Methods J. Ruede, University of Erlangen- 2:45-3:05 High-Order Methods Nuremberg, Germany David Stein and Becca Thomases, University for Turbulent Flow Simulations on of California, Davis, USA Deforming Domains 1:55-2:15 Large Scale and Massive 2:20-2:40 Fluid Coupling in Per-Olof Persson, University of California, Parallel Phase-field Simulations of Continuum Modeling of Microtubule Berkeley, USA Pattern Formations in Ternary Eutectic Gliding Assays Systems Tamar Shinar and Steven Cook, University Johannes Hötzer, Hochschule Karlsruhe of California, Riverside, USA; Christel Technik und Wirtschaft, Germany; Marcus Hohenegger, University of Utah, USA Jainta, Philipp Steinmetz, and Britta Nestler, Karlsruhe Institute of Technology, 2:45-3:05 Modeling Active Flows and Germany Stress Generation in Microtubule- Motor Networks Robert Blackwell, Meredith Betterton, and Matthew Glaser, University of Colorado, USA; Michael J. Shelley and Tony Gao, Courant Institute of Mathematical Sciences, New York University, USA continued on next page 2015 SIAM Conference on Computational Science and Engineering 79

2:20-2:40 Large-scale Multi-Phase- Sunday, March 15 Sunday, March 15 Field Simulation of Abnormal Polycrystalline Grain Growth using MS125 MS126 TSUBAME2.5 GPU-Supercomputer Akinori Yamanaka and Masashi Okamoto, Analysis of Noisy Networks Advances in Radial Tokyo University of Agriculture and in Theory and Practice - Basis Function and Other Technology, Japan; Takashi Shimokawabe Part II of II Meshfree Methods - and Takayuki Aoki, Tokyo Institute of Technology, Japan 1:30 PM-3:10 PM Part V of V 2:45-3:05 Multi-Gpu Phase-Field Room:260 B 1:30 PM-3:10 PM Lattice Boltzmann Simulations for For Part 1 see MS100 Room:151 AB Growth and Moving of Binary Alloy Network analysis is an elegant, graph-based Dendrite For Part 4 see MS101 method for studying complex systems of Meshfree methods have many inherent Tomohiro Takaki and Roberto Rojas, Kyoto interacting entities. However, real-world Institute of Technology, Japan; Takashi properties that make them useful for observed systems inherently include some a variety of problems in science and Shimokawabe and Takayuki Aoki, Tokyo discrepancy from reality. For example, Institute of Technology, Japan engineering, from fitting data to numerically measurements may not be exact, as not all solving differential equations. Such methods relations are observed. Since traditional offer geometric flexibility, non-uniform graph theory deals with exact mathematics, resolution, and advantageous trade-offs one of the most challenging aspects of between accuracy and computational costs. network analysis is accounting for this noise. This minisymposium focuses primarily on This minisymposium will include talks from methods based on radial basis functions and application experts on how they handle other more general kernels. The talks will noise, and presentations about the effect of address recent advances in the application noise in networks generally. We conclude of these methods to large-scale problems in with a discussion on how the general theory biology, geophysics, image processing, and and application-specific methods can benefit finance, as well as theoretical advances in from each other. the methods themselves. Organizer: Sanjukta Bhowmick Organizer: Varun Shankar University of Nebraska, Omaha, USA University of Utah, USA Organizer: Benjamin A. Miller Organizer: Grady B. Wright Massachusetts Institute of Technology, USA Boise State University, USA 1:30-1:50 Pockets of Instability in 1:30-1:50 Kernel-Based Image Network Centrality Metrics Reconstruction Vladimir Ufimtsev and Sanjukta Bhowmick, Frank Filbir, Technische Universität University of Nebraska, Omaha, USA München, Germany 1:55-2:15 Using Consensus to Inform 1:55-2:15 Reproducing Kernels Stochastic Graph Aggregation in Parametric Partial Differential Layla Oesper, Brown University, USA; Equations Rajmonda Caceres, Massachusetts Christian Rieger, Universität Bonn, Institute of Technology, USA Germany 2:20-2:40 Statistical Inference on 2:20-2:40 Meshfree Computations Errorfully Observed Graphs with SPH and Vortex Methods Carey Priebe, Johns Hopkins University, Prabhu Ramachandran, Indian Institute of USA; Daniel L. Sussman, Harvard Technology-Bombay, India University, USA; Minh Tang, Johns Hopkins University, USA; Joshua 2:45-3:05 A Numerical Study of the Vogelstein, Duke University, USA; Vince Accuracy of Divergence-Free Kernel Lyzinski, Donniell Fishkind, Nam Lee, Approximations Youngser Park, and Avanti Athreya, Johns Arthur Mitrano, Arizona State University, Hopkins University, USA USA 2:45-3:05 Discussion on Future Directions of Noisy Networks Sanjukta Bhowmick, University of Nebraska, Omaha, USA; Benjamin A. Miller, Massachusetts Institute of Technology, USA 80 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 Sunday, March 15 Sunday, March 15 MS127 MS128 Poster Blitz Parallel, Adaptive Methods High- and Low-order Finite 3:10 PM-4:30 PM for Logically Cartesian Element Software for the Room:355 Meshes - Part II of II Future - Part II of II 1:30 PM-3:10 PM 1:30 PM-3:10 PM Room:151 DE Room:151 G Sunday Poster For Part 1 see MS102 For Part 1 see MS103 Session & Reception Adaptive refined Cartesian mesh methods, As scientific problems become larger, which started with the seminal paper by computational platforms become more Berger-Oliger in 1984 have now been diverse and the complexity of finite element PP1 in development for just over 30 years. software increases, it is essential to develop Computational Fluid However, there are still many questions software in a sustainable way. The role of Dynamics about the scalability of these methods. The software design and the need to effectively meta-data needed to store sub-grid locations manage the development process is therefore 4:30 PM-6:30 PM can become prohibitive, and dynamic more important than ever before. This Room:255 refinement an present a challenging parallel minisymposium will discuss experiences problem. However recent developments of how high- and low-order FEM software Lid Driven Cavity Simulations in 2d and in quad tree adaptation, as well as other can be designed, developed and maintained 3d Using High Accurate Methods approaches taken for Berger Oliger type to achieve maximum performance while Badr Alkahtani, King Saud University, Saudia refinement may overcome some of these remaining robust, rigorously tested and able Arabia problems. In this minisymposium, speakers to grow and adapt with the changing needs Numerical Study of Thin Viscoelastic have been asked to address the scalability of the research environment, improvements Films on Substrates of their adaptive frameworks, and more in the methods and the evolving hardware Valeria Barra and Shahriar Afkhami, New generally, share experiences using available landscape. Jersey Institute of Technology, USA packages, including Chombo, Paramesh, Organizer: David Moxey Flusepa - a Navier-Stokes Solver for p4est, Overture, AMRClaw, GeoClaw and Imperial College London, United Kingdom ForestClaw. Unsteady Problems with Bodies in Organizer: Chris Cantwell Relative Motion : Toward a Task-Based Organizer: Donna Calhoun Imperial College London, United Kingdom Parallel Version over a Runtime System Boise State University, USA for Large Simulations Organizer: Spencer Sherwin Organizer: Carsten Burstedde Jean Marie Couteyen Carpaye and Jean Imperial College London, United Kingdom Universität Bonn, Germany Roman, INRIA, France; Pierre Brenner, 1:30-1:50 Nek5000: An Environment Airbus Defence and Space, Germany 1:30-1:50 Recent Developments in for Scalable Algorithm Development A Novel Modeling Approach for Forest-of-octrees AMR and Production Simulations Carsten Burstedde, Universität Bonn, Multiscale, Multiphysics Flow Paul F. Fischer, Argonne National Derek A. Cline, University of Utah, USA Germany; Toby Isaac and Omar Ghattas, Laboratory, USA University of Texas at Austin, USA; Efficiency of an Adjoint Industrial CFD Donna Calhoun, Boise State University, 1:55-2:15 Anisotropic Mesh Code Adaptation for the Many-core Era USA Zahrasadat Dastouri, Johannes Lotz, and Gerard J Gorman, Imperial College London, 1:55-2:15 Runtimes and Autotuning Uwe Naumann, RWTH Aachen University, United Kingdom and Hybrid, Oh My! Chombo Germany Navigates the Waters of Exascale 2:20-2:40 H-to-P Efficiently: a Production of Dissipative Vortices Brian Van Straalen, Lawrence Berkeley Nektar++ Update on Comparisons of by Solid Bodies in the Inviscid Limit National Laboratory, USA Cg and Hdg of Incompressible Fluid Flows: Mike Kirby, University of Utah, USA 2:20-2:40 Exploring Astrophysical Comparison Between Prandtl, Navier- Flows with High-fidelity Large-scale 2:45-3:05 Heterogeneous Computing Stokes and Euler Solutions Simulations with a Homogeneous Codebase Marie Farge, Ecole Normale Superieure, Min Long, Boise State University, USA Freddie Witherden and Peter E. Vincent, France; Romain Nguyen van yen and Imperial College London, United Matthias Waidmann, Freie Universitaet 2:45-3:05 An Implicit, High-Order Kingdom Berlin, Germany; Kai Schneider, Aix- Accurate, Incompressible Navier- Marseille Université, France; Rupert Klein, Stokes Solver on Overlapping Grids Freie Universitaet Berlin, Germany Kyle Chand, Lawrence Livermore National Laboratory, USA

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Physics-Compatible Lagrangian Sunday, March 15 Higher Order Numerical Schemes for Space and Time-Staggered Convection Diffusion Equation Based Hydrodynamics Schemes PP2 on B-Spline Quasi-Interpolation Christophe Fochesato, Alexandra Claisse, Rakesh Kumar and Sambandam Baskar, and Antoine Llor, CEA, France Numerical PDEs Indian Institute of Technology-Bombay, India A Numerical Study of Shock-Induced 4:30 PM-6:30 PM Cavity Collapse in a Solid Explosive Room:255 NIST AMR Benchmarks James R. Gambino, Ashwani K. Kapila, William F. Mitchell, National Institute of Donald W. Schwendeman, and William A Non Standard Scheme for Nagumo Standards and Technology, USA Henshaw, Rensselaer Polytechnic Institute, Type Differential Equations Finite Element Methods for the USA Adebayo A. Aderogba, Michael Chapwanya, and Pius Chin, University of Pretoria, Evolution Problem in General Scalable Advection Algorithms for South Africa Relativity Multi-Tracers in Climate Codes Vincent Quenneville-Belair, University of Iulian Grindeanu, Argonne National Reduced Basis Methods for Minnesota, USA Laboratory, USA; Kara Peterson, Sandia Calibration and Option Pricing Olena Burkovska, Kathrin Glau, Mirco Massively Parallel Radiation Transport National Laboratories, USA; Vijay Sweeps on Unstructured Grids Mahadevan, Navamita Ray, and Rajeev Mahlstedt, and Barbara Wohlmuth, Jean C. Ragusa, Tarek Ghaddar, and Michael Jain, Argonne National Laboratory, USA Technical University of Munich, Germany Adams, Texas A&M University, USA Fast Ship Hydrodynamics Via Novel A Fast and Stable Explicit Operator The Discrete Maximum Principle Methods Splitting Method for Phase-Field Models in the Family of Mimetic Finite Stavros Kontos, Technical University of Difference Methods Denmark, Denmark; Ole Lindberg, Yuanzhen Cheng, Alexander Kurganov, and Daniil Svyatskiy, Gianmarco Manzini, and FORCE Technology, Denmark; Allan Zhuolin Qu, Tulane University, USA; Konstantin Lipnikov, Los Alamos National Engsig-Karup and Harry Bingham, Tao Tang, Hong Kong Baptist University, Laboratory, USA Technical University of Denmark, Hong Kong Denmark Method of Lines Transpose Schemes A Locally Adaptive RBF-FD Method Wade Meyers, University of Wisconsin, A Conservative, Positivity Preserving for Parabolic Problems Stout, USA; Talin Masihimirzakhanian, Scheme for Reactive Solute Transport Hana Cho and Andrew J. Christlieb, California Polytechnic State University, Problems in Moving Domains Michigan State University, USA; Matt Pomona, USA; Keith Wojciechowski, Sibusiso Mabuza, University of Houston, Causley, Kattering University, USA; University of Wisconsin, Stout, USA USA David Seal, Michigan State University, USA A Second-Order Maximum Principle Singly-Periodic Stokes Flow with a Preserving Lagrange Finite Element Wall Comparison of Nonlinear and Linear Stabilization Schemes for Advection- Technique for Nonlinear Scalar Forest O. Mannan and Ricardo Cortez, Conservation Equations Tulane University, USA Diffusion Equations Ryan R. Grove and Timo Heister, Clemson Jean-Luc Guermond, Murtazo Nazarov, Computational Hydrodynamics: University, USA Bojan Popov, and Yong Yang, Texas A&M How Portable and Scalable Are University, USA Heterogeneous Programming A Task-Parallel Approach for Solving Paradigms? PDEs on a Lattice Wojciech Pawlak and Allan Engsig-Karup, John T. Hutchins, Derek A. Cline, and James Technical University of Denmark, C. Sutherland, University of Utah, USA Denmark; Stefan Glimberg, Lloyd’s Finite Element Analysis of Free Register Consulting, United Kingdom Material Optimization Problems A Fully Discrete Derivation of a Tobias Jordan and Michael Hinze, Direct Ale Conservative Scheme for University of Hamburg, Germany Compressible Hydrodynamics Thibaud Vazquez-Gonzalez, Antoine Llor, and Christophe Fochesato, CEA, France

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Sunday, March 15 Sunday, March 15 Reaction of a Solid Tumor According to the Injection of Medical Supplies PP3 PP4 into Heart and Liver Jaegwi Go, Changwon National University, Linear Algebra and Data Biomedical Applications Korea Analysis 4:30 PM-6:30 PM Newtonian and Non-Newtonian Fluid Dynamics in Abdominal Aortic 4:30 PM-6:30 PM Room:255 Aneurysms Room:255 Reduced Order Modelling for Danielle D. Masse and Jason Howell, Optimal Cancer Treatment A New Test for Exclusion Algorithm to College of Charleston, USA Bahodir Ahmedov, Aachen Institute for Find the Optimum Value of Function Topology Backs Alternative Medicine in Rn Advanced Study in Computational Engineering Science, Germany; Michael Claim Ibraheem Alolyan, King Saud University, Fernando Schwartz, University of Tennessee, Saudia Arabia Herty and Martin Grepl, RWTH Aachen University, Germany USA; Louis Xiang, Chinese University of Approximation and Error Estimation Hong Kong, Hong Kong; Kwai L. Wong, in High Dimensional Space for A Mesh Free Method for Numerical University of Tennessee and Oak Ridge Stochastic Collocation Methods on Simulation of Calcium Dynamics In National Laboratory, USA Arbitrary Sparse Samples Ventricular Myocytes Emmanuel O. Asante-Asamani, Bruce Wade, Shear Wave Filtering in Bouligand Richard Archibald, Oak Ridge National Structures Laboratory, USA and Zeyun Yu, University of Wisconsin, Milwaukee, USA Nicolas Guarin Zapata, Purdue University, Rational Least Squares Fitting using USA; Juan Gomez, Universidad EAFIT, Krylov Spaces Computed Tear Film and Solute Colombia; Nick Yaraghi and David Dynamics on An Eye-Shaped Domain Mario Berljafa and Stefan Guettel, University Kisailus, University of California, USA; of Manchester, United Kingdom Richard Braun, University of Delaware, Pablo Zavattieri, Purdue University, USA USA; Longfei Li, Rensselaer Polytechnic A Hybrid Openmp/mpi Cg Iterative Institute, USA; Tobin Driscoll, University Eigensolver for First-Principles Plane of Delaware, USA; William Henshaw and Wave Materials Science Codes Jeffrey Banks, Rensselaer Polytechnic Andrew M. Canning, Lawrence Berkeley Institute, USA; P. Ewen King-Smith, The National Laboratory, USA Ohio State University, USA All Real Eigenvalues of Symmetric The Transcriptomic Clock of Human Tensors Cerebral Cortex Development Cui Chunfeng and Dai Yu-Hong, Chinese Elisabeth M. Brown, Kristin Bennett, Academy of Sciences, China; Nie Jiawang, Hannah De Los Santos, and Joey Lea, University of California, San Diego, USA Rensselaer Polytechnic Institute, USA; A Python Toolbox for Shape Nathan Boles, Thomas Kiehl, Sally Optimization in Imaging and Data Temple, and Christopher Fasano, Neural Analysis Stem Cell Institute, USA Gunay Dogan, National Institute of Standards Computational Methods to Study the and Technology, USA Coordination of Mechanical Forces Discovering Block Structure in Graphs Involved in Amoeboid Cell Migration with Approximate Eigenvectors Calina A. Copos and Robert D. Guy, James Fairbanks, Georgia Institute of University of California, Davis, USA Technology, USA; Geoffrey D. Sanders, Segmentation and Processing of Lawrence Livermore National Laboratory, Brain Images of Multiple Modalities in USA 2 and 3 Dimensions Efficient Multigrid Methods for John Edwards, Brian Summa, Valerio Distributed Optimal Control Problems Pascucci, and Christopher Johnson, Constrained by Parabolic Equations University of Utah, USA Mona Hajghassem and Andrei Draganescu, Improving Performance of Multi- University of Maryland, Baltimore County, Level Nonrigid Registration of Two USA Ct-Based Lung Images With Use of Computing the Heat Kernel of a Gpu Computing Graph for a Local Clustering Algorithm Nathan Ellingwood and Youbing Yin, Olivia Simpson, University of California, San University of Iowa, USA; Matthew Smith, Diego, USA National Cheng Kung University, Taiwan; Ching-Long Lin, University of Iowa, USA

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Sunday, March 15 Distribution Functions of Water Sunday, March 15 Saturation for the Stochastic Buckley- PP5 Leverett Problem Via the Streamline PP6 Statistical Methods and Method Fayadhoi Ibrahima, Stanford University, CSE Methods Uncertainty Quantification USA; Daniel W. Meyer, Institute of Fluid 4:30 PM-6:30 PM 4:30 PM-6:30 PM Dynamics, Switzerland; Hamdi Tchelepi, Stanford University, USA Room:255 Room:255 Hybridized Reduced Basis Method Reproducible Numerical Computing Adaptive Spectral Tensor-Train and Generalized Polynomial with HashDist Decomposition for the Construction Chaos for Solving Partial Differential Aron Ahmadia, U.S. Army Engineer of Surrogate Models Equations Research and Development Center, USA; Daniele Bigoni and Allan Engsig-Karup, Jiahua Jiang, University of Massachusetts, Ondrej Certik, University of Nevada, Technical University of Denmark, Dartmouth, USA Reno, USA; Christopher Kees, U.S. Army Denmark; Youssef M. Marzouk, Engineer Research and Development Massachusetts Institute of Technology, Kriging and Spatial Design Center, USA; Dag Sverre Seljebotn, USA Accelerated by Orders of Magnitude: University of Oslo, Norway; Andy R. Combining Low-Rank Covariance A Posteriori Error Estimation for a Cut Terrel, Continuum Analytics, USA Approximations with FFT-Techniques Cell Finite Volume Method in the Alexander Litvinenko, King Abdullah A Scalable Fast Method for $N$-Body Presence of Uncertainty University of Science & Technology Problems Based on Exact Finite James B. Collins, West Texas A&M (KAUST), Saudi Arabia; Wolfgang Element Basis Screen Functions University, USA; Simon Tavener and Don Nowak, University of Stuttgart, Germany Natalie N. Beams, Luke Olson, and Jonathan Estep, Colorado State University, USA B. Freund, University of Illinois at A Nonlinear Non-Gaussian Smoother Probability Measures on Numerical Urbana-Champaign, USA for Continuous Stochastic Dynamical Solutions of Odes for Uncertainty Systems Boltzmann Equation Solver Adapted Quantification and Inference Tapovan Lolla and Pierre Lermusiaux, to Emergent Chemical Non- Patrick R. Conrad, Massachusetts Institute Massachusetts Institute of Technology, Equilibrium of Technology, USA; Mark Girolami, USA Jeremiah Birrell, University of Arizona, University of Warwick, United Kingdom; USA; Jon Wilkening, Lawrence Berkeley Simo Sarkka, Aalto University, Finland; Uncertainty Quantification in National Laboratory and University of Andrew Stuart, University of Warwick, Incompressible Flow Using Sparse California Berkeley, USA; Cheng Tao Grids United Kingdom; Konstantinos Zygalakis, Yang and Johann Rafelski, University of University of Southampton, United Friedrich Menhorn and Tobias Neckel, Arizona, USA Kingdom Technische Universität München, Germany Boltzmann Collision Operator for Adaptive Bayesian Selection, Cylindrically Symmetric Velocity Calibration, and Validation of Matrix Splitting Techniques for Distributions in Plasmas Coarse-Grained Models of Atomistic Sampling a High-Dimensional Yanping Chen, Yannan Shen, John Zweck, Gaussian Systems and Matthew Goeckner, University of Kathryn Farrell, J. Tinsley Oden, and Danial Richard A. Norton and Colin Fox, University Texas at Dallas, USA Faghihi, University of Texas at Austin, of Otago, New Zealand USA Analysis of a Heterogeneous Time Series Estimation of a Stochastic Multiscale Method for Poroelasticity Processes Coupled to Pdes for Emgr - Empirical Gramian Framework Paul M. Delgado, Vinod Kumar, and Son Multiscale Modeling Christian Himpe, University of Münster, Young Yi, University of Texas at El Paso, Germany; Mario Ohlberger, University of Charlie Vollmer and Don Estep, Colorado USA Muenster, Germany State University, USA; Anter A. El-Azab, Purdue University, USA Cell List Algorithms for Nonequilibrium Kernel Density Estimation for Implicit Molecular Dynamics Fast Stochastic Simulation of Non- Monte Carlo Radiation Transport Matthew Dobson, University of Gaussian Correlated Process Aaron M. Holgado, Texas A&M University, Massachusetts, Amherst, USA USA; Robert Holladay, Virginia Tech, Variations USA; Allan Wollaber, Mathew Cleveland, Tsui-Wei Weng, Zheng Zhang, and Luca Convex-Hull Classification of and Todd Urbatsch, Los Alamos National Daniel, Massachusetts Institute of Molecular Data on a Cluster Laboratory, USA; Ryan McClarren, Texas Technology, USA Sally R. Ellingson and Radha Nagarajan, University of Kentucky, USA A&M University, USA Uncertainty Quantification for Integrated Circuits and {MEMS} Direct Evaluation of Unified Extended Zheng Zhang, Massachusetts Institute of Splines Technology, USA; Ibrahim Elfadel, Ian D. Henriksen, Brigham Young Masdar Institute of Science and University, USA Engineering, United Arab Emirates; Luca Daniel, Massachusetts Institute of continued in next column Technology, USA continued on next page 84 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 Universität Stuttgart, Germany; Benjamin Sunday, March 15 Uekermann, Technische Universität PP6 München, Germany PP7 CSE Methods Matched Asymptotic Analysis to CSE Applications Solve the Narrow Escape Problem in 4:30 PM-6:30 PM 4:30 PM-6:30 PM a Domain with a Long Neck Xiaofei Li and Hyundae Lee, Inha Room:255 continued University, Korea Fields That Cause Elastic Breakdown Computational Homogenization for in Inhomogeneous Media the Modeling of Soft Matter Materials Nathan C. Briggs, Graeme Milton, Zoe Last Spectral Noise Filtering for Fourier Christian Linder, Stanford University, USA Koch, Andrew Boyles, Jonathan Boyle, Transform Profilometry Michael Primrose, and Michael Zhao, A Sparse Interpolation Algorithm Thomas Höft, University of St. Thomas, University of Utah, USA for Dynamical Simulations in USA Computational Chemistry Charge Transfer Processes at Numerical Modeling of Wave James Nance, ELENA Jakubikova, and C.T. Semiconductor-Electrolyte Interfaces Propagation in Poroelastic Media Kelley, North Carolina State University, in Solar Cell Modeling Using Optimal Staggered Implicit USA Michael D. Harmon, Institute for Finite Differences Computational Engineering and Sciences, P²NFFT - A Versatile Framework for Ursula Iturraran-Viveros and Reymundo USA Computing NFFT-based Fast Ewald Itza, Universidad Nacional Autonoma de Summation Student Chapter Develops Future Mexico, Mexico Michael Pippig and Franziska Nestler, Professionals Graph-Based Analysis of Three- Chemnitz University of Technology, Stacey Joseph-Ellison, Embry-Riddle Dimensional, Large Scale Phase-Field Germany Aeronautical University, USA Simulations Optimal Control of Miscible Marcus Jainta, Karlsruhe Institute of Displacement Equations Using Technology, Germany; Daniel Stubenvoll, Discontinuous Galerkin Methods Johannes Hötzer, and Phillip Steinmetz, Brianna Lynn, Rice University, USA Karlsruhe University of Applied Sciences, Germany; Britta Nestler, Karlsruhe Identifying and Tracking Multiple Institute of Technology, Germany Underwater Acoustic Sources Using Characteristic Signatures Uncertainty Quantification for the Zoi-Heleni Michalopoulou, Jacob Moorman, Estimation of the Diffusion Coefficient Jake Brusca, and Shan Fung, New Jersey from Md Simulations Institute of Technology, USA Changho Kim and George E. Karniadakis, Brown University, USA Elastic Deformation Due to Dislocations in a Transversely Adaptive Model Order Reduction in Isotropic Viscoelastic Halfspace Forward and Inverse Multi-Frequency Amirhossein Molavi Tabrizi, Ernian Pan, Problem for Maxwell’s Equations and Ali Sangghaleh, University of Akron, Michal A. Kordy, Elena Cherkaev, and Phil USA Wannamaker, University of Utah, USA Simulation and Modeling of Sparse Spectral Tau-Method for Unmanned Systems for Humanitarian Binary Neutron Stars Applications in Industry Stephen Lau, University of New Mexico, Courtney E. Thurston, Commonwealth USA Connections Academy, USA Time-Parallel Approaches for Complex Rotorcraft Calculations Joshua I. Leffell, NASA Ames Research Center, USA; Jay Sitaraman, University of Wyoming, USA; Andrew Wissink, NASA Ames Research Center, USA Precice -- Flexible Parallel Multi- Physics Coupling Florian Lindner and Miriam Mehl,

continued in next column 2015 SIAM Conference on Computational Science and Engineering 85

Sunday, March 15 Sunday, March 15 Sunday, March 15 PP8 PP101 PP102 AWM Workshop Minisymposterium -- Minisymposterium -- 4:30 PM-6:30 PM BET: Open Source Software Clawpack Development, Room:255 for Stochastic Inverse Extensions and Applications AWM Workshop: Sampling and Problems in a Measure- 4:30 PM-6:30 PM Reconstruction in Inite-Dimensional Theoretic Context Reproducing Kernel Subspace Room:255 Cheng Cheng, University of Central Florida, 4:30 PM-6:30 PM Organizer: Randall LeVeque, University of USA Room:255 Washington, USA AWM Workshop: A Lattice of Poincare Organizer: Lindley C. Graham, University of Tsunami Modeling In North Africa Duality Algebras with Acyclic Texas at Austin, USA Using Geoclaw Software: a Tool for Annihilators and Finite Dimension the Tsunami Scenario Database in the Associated to a Manifold Bet: Algorithmic and Error Analyses West Mediterranean Cameron Crowe, Stony Brook University, Troy Butler, University of Colorado, Denver, Lubna Amir, USTHB University, Algeria; USA USA Walter Dudley, University of Hawaii at AWM Workshop: Residual Based BET: Applications for an Open Source Hilo, USA; Jean Roger, G-Mer Etudes Aposteriori Error Estimation in a Fully Inverse Problems Package Marines, France Automatic Hp –fem for the Stokes Lindley C. Graham and Steven Mattis, ForestClaw : Parallel, Adaptive, Equations University of Texas at Austin, USA; Troy Multiblock Simulations for Clawpack Arezou Ghesmati, Markus Buerg, and Butler, University of Colorado, Denver, Donna Calhoun, Boise State University, Wolfgang Bangerth, Texas A&M USA; Clint Dawson, University of Texas USA University, USA at Austin, USA Adjoint Methods for Guiding AWM Workshop: Residual-Based A Bet: Modifications and Analysis for Adaptive Mesh Refinement in Wave Posteriori Error Estimate for Interface Model Discrepancies Propagation Problems Problems: Nonconforming Linear Nishant Panda, Colorado State University, Brisa Davis and Randall LeVeque, Elements USA University of Washington, USA Cuiyu He and Zhiqiang Cai, Purdue A Community-Driven Collection of University, USA; Shun Zhang, City Approximate Riemann Solvers for University of Hong Kong, Hong Kong Hyperbolic Problems AWM Workshop: Enhancements for Mauricio J. Del Razo, University of Reduced Basis Methods: Reducing Washington, USA; David I. Ketcheson, Offline Computational Costs King Abdullah University of Science Jiahua Jiang, University of Massachusetts, & Technology (KAUST), Saudi Dartmouth, USA Arabia; Randall LeVeque, University of AWM Workshop: Combinatorial Washington, USA Navier-Stokes Equation High Resolution Tsunami Modeling Aradhana Kumari, City University of New at the Mediterranean Coast of Israel York, USA Towards An Early Warning Tsunami AWM Workshop: An Adaptive Scenarios Data Bank Gmsfem for High-Contrast Flow Barak Galanti, Israel Oceanographic and Problems Limnological Research, Israel Guanglian Li, Texas A&M University, USA PyClaw: Accurate, Scalable Solution AWM Workshop: Propagation Failure of Hyperbolic PDEs in Python in Discrete Inhomogeneous Media David I. Ketcheson, King Abdullah Using a Caricature of the Cubic University of Science & Technology Elizabeth Lydon, University of Central (KAUST), Saudi Arabia; Aron Ahmadia, Florida, USA U.S. Army Engineer Research and Development Center, USA; Kyle T. AWM Workshop: Nontrivial Structure in Mandli, Columbia University, USA Top Homology of a Space Chandrika Sadanand, Stony Brook University, USA

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Sunday, March 15 Sunday, March 15 Sparse Direct Solvers on Distributed CPU-GPU Machines (unconfirmed) PP102 PP103 Pieter Ghysels, Xiaoye Sherry Li, and Francois-Henry Rouet, Lawrence Berkeley Minisymposterium -- Minisymposterium -- National Laboratory, USA; Piyush Sao Clawpack Development, Frameworks, Algorithms, and Richard Vuduc, Georgia Institute of Extensions and Applications and Scalable Technologies Technology, USA for Mathematics (FASTMath) Dynamic Partitioning Using Mesh 4:30 PM-6:30 PM Adjacencies continued 4:30 PM-6:30 PM Cameron Smith, Dan A. Ibanez, and Gerrett Room:255 Diamond, Rensselaer Polytechnic Institute, USA Organizer: Lori A. Diachin, Lawrence Fastmath Structured Mesh and Practical Applications of GeoClaw to Livermore National Laboratory, USA Particle Technologies Tsunami Hazard Assessment An Overview of PETSc Anshu Dubey, Phillip Colella, Mark Adams, Randall LeVeque, Loyce Adams, and Frank Satish Balay, Argonne National Laboratory, Ann S. Almgren, Dan Graves, Terry I. Gonzalez, University of Washington, USA; Jed Brown, Argonne National J. Ligocki, and Brian Van Straalen, USA Laboratory, USA and University of Lawrence Berkeley National Laboratory, CUDACLAW: A GPU Framework for Colorado Boulder, USA; William D. USA; Milo Dorr, Lawrence Livermore the Solution of Hyperbolic Pdes Gropp, University of Illinois at Urbana- National Laboratory, USA George M. Turkiyyah, American University Champaign, USA; Matthew Knepley, Sundials: Suite of Nonlinear and of Beirut, Lebanon; H. Gorune University of Chicago, USA; Lois Differential/algebraic Solvers Ohannessian, University of Wisconsin, Curfman McInnes, Barry F. Smith, Daniel R. Reynolds, Southern Methodist USA; Aron Ahmadia, U.S. Army Engineer and Hong Zhang, Argonne National University, USA; Carol S. Woodward, Research and Development Center, USA; Laboratory, USA Lawrence Livermore National Laboratory, David I. Ketcheson, King Abdullah Construction of Parallel Adaptive USA University of Science & Technology Simulation Loops (KAUST), Saudi Arabia Brian Granzow, Rensselaer Polytechnic Hypre: High Performance Institute, USA Preconditioners Robert Falgout, Tzanio V. Kolev, Jacob B. MueLu: Multigrid Framework for Schroder, and Ulrike M. Yang, Lawrence Advanced Architectures Livermore National Laboratory, USA Jonathan J. Hu and Andrey Prokopenko, Sandia National Laboratories, USA Parallel Unstructured Mesh Infrastructure Dan A. Ibanez, E. Seegyoung Seol, and Gerrett Diamond, Rensselaer Polytechnic Institute, USA Massively Parallel Adaptive Simulations Using Petsc for Turbulent Boundary Layer Flows Michel Rasquin, University of Colorado Boulder, USA; Dan A. Ibanez, Rensselaer Polytechnic Institute, USA; Benjamin Matthews, University of Colorado Boulder, USA; Cameron Smith, Onkar Sahni, and Mark S. Shephard, Rensselaer Polytechnic Institute, USA; Kenneth Jansen, University of Colorado Boulder, USA

continued in next column 2015 SIAM Conference on Computational Science and Engineering 87

Sunday, March 15 Sunday, March 15 A High Order, Implicit, Hybrid Solver for Linear Kinetic Equations PP104 PP105 Michael Crockat, Michigan State University, USA; Charles K. Garrett and Cory Hauck, Minisymposterium -- Minisymposterium -- Oak Ridge National Laboratory, USA Integrated Mathematics for Numerical Methods for A High Order Time Splitting Method Mesoscopic Modeling of Kinetic Equations and Based on Integral Deferred Correction Materials Related Models for Semi-Lagrangian Vlasov Simulations 4:30 PM-6:30 PM 4:30 PM-6:30 PM Wei Guo, Michigan State University, USA Room:255 Room:255 Analysis of Discontinuous Galerkin Organizers: Organizer: Martin Frank, RWTH - Aachen Algorithms for Diffusion and for Energy- Conserving Hamiltonian Dynamics George E. Karniadakis, Brown University, University of Technology, Germany Greg Hammett, Princeton University, USA; Realizability Limiting in High-Order USA Ammar Hakim, Princeton Plasma Physics Numerical Solutions of Entropy-Based Nathan Baker, Pacific Northwest National Laboratory, USA; Eric Shi, Ian Abel, and Moment Closures Laboratory, USA Tim Stoltzfus-Dueck, Princeton University, Graham Alldredge, RWTH Aachen USA Stochastic Methods in Mesoscopic University, Germany; Florian Schneider, Materials Modeling Technische Universität Kaiserslautern, Massively Parallel Calculations of Paul J. Atzberger, University of California, Germany Neutronics Experiments Using Pdt Santa Barbara, USA Marvin L. Adams, Aaron Holzaepfel, W. Exploration and Validation of Full- Daryl Hawkins, Michael Adams, Anthony Concurrent Coupling Methods in Domain Massively Parallel Transport Barbu, and Timmie Smith, Texas A&M Mesoscopic Materials Modeling Sweep Algorithms University, USA Xin Bian, Brown University, USA Teresa S. Bailey, Peter Brown, and Adam Numerical Solution of the Boltzmann Overview of Mathematics for Kunen, Lawrence Livermore National Equation Using Quadrature-Based Mesoscopic Modeling of Materials Laboratory, USA Projection Methods George E. Karniadakis, Brown University, A New Moment Method in the Kinetic Julian Koellermeier and Manuel Torrilhon, USA Theory of Gases Based on the L2 RWTH Aachen University, Germany Function Space Hierarchical Coarse-graining and Positive Filtered P Closures for Linear Parallelization Methods for Mesoscale Zhenning Cai and Manuel Torrilhon, RWTH N Kinetic Transport Equations, with some material Models Aachen University, Germany Convergence Results Markos A. Katsoulakis, University of Markov Chain Formalism for Ming Tse P. Laiu, University of Maryland, Massachusetts, Amherst, USA Radiative Transfer in Planetary College Park, USA; Cory Hauck, Oak Atmospheres: Forward Modeling, Particle-Based Methods in Ridge National Laboratory, USA; Dianne Including Linearization Mesoscopic Materials Modeling P. O’Leary and André Tits, University of Anthony B. Davis, Feng Xu, Robert West, Zhen Li, Brown University, USA Maryland, College Park, USA and David Diner, California Institute of Grid-Based Methods in Mesoscopic Technology, USA Implicit, Filtered Pn Methods for Materials Modeling Radiation Transport On the Hyperbolicity of Grad’s 13 Martin Maxey, Brown University, USA Ryan G. McClarren and Vincent Laboure, Moment System Texas A&M University, USA; Cory Hauck, Applications in Mesoscopic Modeling Yuwei Fan, Peking University, China; Oak Ridge National Laboratory, USA of Materials Zhenning Cai, RWTH Aachen University, Wenxiao Pan, Pacific Northwest National Germany; Ruo Li, Peking University, Massively Parallel Nuclear Reactor Laboratory, USA; Mauro Perego, Sandia China Analysis Using Pdt National Laboratories, USA Marvin L. Adams, Carolyn McGraw, W. Convergence of Filtered Spherical Daryl Hawkins, Michael Adams, and Coarse-Graining in Mesoscopic Harmonic Equations for Radiation Timmie Smith, Texas A&M University, Materials Modeling Transport USA Panos Stinis, University of Minnesota, USA Martin Frank, RWTH - Aachen University High Order Asymptotic Preserving Ultra Coarse-Graining in Mesoscopic of Technology, Germany; Cory Hauck, Nodal Discontinuous Galerkin Imex Materials Modeling Oak Ridge National Laboratory, USA; Schemes for the Bgk Equation Gregory Voth, James Dama, and John Grime, Kerstin Kuepper, RWTH - Aachen Jingmei Qiu, University of Houston, USA; University of Chicago, USA University of Technology, Germany Juhi Jang, University of California, Fast Solvers for Mesoscopic Materials Riverside, USA; Fengyan Li, Rensselaer Modeling Polytechnic Institute, USA; Tao Xiong, Jinchao Xu and Chun Liu, Pennsylvania University of Houston, USA State University, USA; Xiaozhe Hu, Tufts University, USA; Maximilian S. Metti, continued in next column Pennsylvania State University, USA continued on next page 88 2015 SIAM Conference on Computational Science and Engineering

Sunday, March 15 Sunday, March 15 Assembly Algorithms for Pdes with Uncertain Input Data on Emerging PP105 PP106 Multicore Architectures Eric Phipps and H. Carter Edwards, Sandia Minisymposterium -- Minisymposterium -- National Laboratories, USA Numerical Methods for Scalable Finite Element Using Multicore Parallelism for Kinetic Equations and Assembly Common Finite Element Operations Related Models 4:30 PM-6:30 PM Bruno Turcksin, Texas A&M University, USA; Martin Kronbichler, Technische 4:30 PM-6:30 PM Room:255 Universität München, Germany; Wolfgang continued Organizers: Bangerth, Texas A&M University, USA Irina Demeshko, Sandia National Laboratories, USA

Towards Hyperbolic Moment Eric C. Cyr, Sandia National Laboratories, Approximations of Multicomponent USA Plasmas The scalability of PDE codes typically Roman P. Schärer and Manuel Torrilhon, focuses on solving large sparse linear RWTH Aachen University, Germany system of equations resulting from a FEM Ifp: An Optimal, Fully Conservative, discretization. Finite element assembly is Fully Implicit, Vlasov-Fokker-Planck often dismissed as inconsequential compared Solver: Poster to the expense of linear solves. However, William T. Taitano, Los Alamos National due to the increased parallelism available on Laboratory, USA next-generation architectures the scalability of the assembly can became a bottleneck Residual Monte Carlo Methods Within to achieving performance. The aim of this the Moment-Based Acceleration minisymposterium is provide a forum to Framework discuss ideas for developing a portable Jeffrey A. Willert, Los Alamos National scalable finite element assembly on modern Laboratory, USA and next-generation architectures. Asymptotic Preserving Discontinuous Architecture Portable Assembly for Galerkin Method for the Radiative Maxwell’s Equations Transfer Equation Eric C. Cyr, Irina Demeshko, Roger Yulong Xing, University of Tennessee Pawlowski, and Matthew Bettencourt, and Oak Ridge National Laboratory, Sandia National Laboratories, USA USA; Cory Hauck, Oak Ridge National Laboratory, USA Towards Exascale Implementation of the Finite Element Based Application Development Environment Irina Demeshko, H. Carter Edwards, Michael Heroux, ROGER P. Pawkowski, Eric Phipps, and Andrew Salinger, Sandia National Laboratories, USA Multicore Finite Element Assembly Via Scans Robert C. Kirby, Baylor University, USA Operator Transformation and Code Generation for Scientific Computing Andreas Kloeckner, University of Illinois, USA OCCA: A Unified Approach to Multi- Threading Languages David Medina and Tim Warburton, Rice University, USA; Amik St-Cyr, Shell International Exploration & Production B.V., Netherlands

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Monday, March 16 Monday, March 16 Monday, March 16 MS129 MS130 Registration DAG-Based Efficient Cut Cells: Algorithms and 7:30 AM-5:00 PM Scalable and Portable PDE Applications - Part I of II Software Room:East Foyer 9:10 AM-10:50 AM 9:10 AM-10:50 AM Room:355 A Room:355 For Part 2 see MS157 Announcements Directed acyclic graph (DAG) based Cut cell methods solve PDEs in complex 8:10 AM-8:15 AM approaches can be an effective way to geometry using a regular Cartesian grid manage complexity in large scale pde with special treatment for cells that intersect Room:355 computations. Several different examples as the boundary. These methods are attractive well as an overview of existing approaches because they easily represent complex will be given. The examples shown will and moving geometries. Cut cell methods IP5 demonstrate the versatility of the approach have been used with finite difference, and give some indications of its promise for volume and element discretizations, across Statistical and present and future large scale computations a wide range of problems, including Computational Challenges arising from challenging multi-scale and aerodynamics, meteorology, oceanography, of Constraining Greenhouse multi-physics partial differential equations and others. Challenges include gaps in simulations on both multi-core and theoretical underpinnings; issues due to Gas Budgets heterogeneous architectures. arbitrarily small cells; and the programming 8:15 AM-9:00 AM complexity that arises with cell merging Organizer: Martin Berzins and other stabilization techniques. This Room:355 University of Utah, USA minisymposium will highlight recent Chair: Linda R. Petzold, University of 9:10-9:30 Using Multiple Dags to algorithmic advances, and include a variety Ensure Portability and Scalability in of science domain applications. California, Santa Barbara, USA Large Scale Computations Using Organizer: Hans Johansen Predicting future changes to the global Uintah Lawrence Berkeley National Laboratory, carbon cycle (and therefore climate) and John A. Schmidt, University of Utah, USA quantifying anthropogenic emissions of USA greenhouse gases (GHGs) both require 9:35-9:55 A Comparative Analysis of of Asynchronous Many Task Organizer: Marsha Berger an understanding of net GHGs emissions Courant Institute of Mathematical Sciences, and uptake across a variety of spatial and Programming Models for Next New York University, USA temporal scales. This talk will explore some Generation Platforms of the core scientific questions related to Janine C. Bennett, H. Kolla, Jeremiah Wilke, 9:10-9:30 Weno Finite Volume understanding GHG budgets through the Keita Teranishi, Nicole Slattengren, Greg Methods for Embedded Boundary lens of the statistical and computational Sjaardema, and Samuel Knight, Sandia Grids challenges that arise. The focus will be on National Laboratories, USA Christiane Helzel, Ruhr-Universität Bochum, the use of atmospheric observations, and 10:00-10:20 Structured Dagger: Germany applications will include the natural and Supporting Asynchrony with Clarity 9:35-9:55 High-Order Quadrature anthropogenic components of the methane Jonathan Lifflander, University of Illinois, on Implicitly Defined Domains and carbon dioxide budgets. The discussion USA with Application to a High-Order will include issues related to the solution of Embedded Boundary Discontinuous 10:25-10:45 A DAG Approach to spatiotemporal inverse problems, uncertainty Galerkin Method for Evolving Tame Complexity in Multiphysics quantification, data fusion, gap filling, and Interface Problems Software on Heterogeneous issues of “big data” arising from the use of Architectures Robert Saye, Lawrence Berkeley National satellite observations. Laboratory, USA James C. Sutherland and Abhishek Anna Michalak Bagusetty, University of Utah, USA 10:00-10:20 Terrain Following Versus Carnegie Institution for Science and Stanford Cut-Cells University, USA Hilary Weller and James Shaw, University of Reading, United Kingdom 10:25-10:45 Diffusion MRI on a Intermission Cartesian Grid with Immersed Interfaces 9:00 AM-9:10 AM Khieu Van Nguyen, CEA Saclay, France; Jing-Rebecca Li, INRIA Saclay and CMAP Ecole Polytechnique, France; Luisa Ciobanu, CEA Saclay, France 90 2015 SIAM Conference on Computational Science and Engineering

Monday, March 16 Monday, March 16 Monday, March 16 MS131 MS132 MS133 Report on the Future of CSE Recent Advances in High-dimensional Education and Research Bayesian Methods for Approximation and 9:10 AM-10:50 AM Computational Science and Integration: Analysis and Computation - Part III of V Room:355 D Engineering - Part I of II This session will present and discuss a 9:10 AM-10:50 AM 9:10 AM-10:50 AM draft white paper on “Future Directions Room:250 A Room:250 B in CSE Education and Research” which For Part 2 see MS106 was composed in 2014 by a subset of the For Part 2 see MS158 For Part 4 see MS159 CSE community under the guidance of This minisymposium highlights the most This minisymposium focuses on the the Officers of the SIAM Activity Group recent impact of Bayesian inference for fundamental problem of how to accurately on CSE. A major goal of this session is to uncertainty quantification, statistical approximate solutions of both forward and solicit feedback on this document from the modeling, experimental design, inverse high-dimensional functions. Predicting broad CSE community. The new document and optimization. We discuss novel the behavior of complex phenomena relies follows in the footsteps of the 2001 report approximation techniques bringing with on constructing solutions in terms of high on “Graduate Education in CSE” (Petzold them a myriad of new potential applications dimensional spaces, particularly in the case et al.). The white paper describes and from medicine to engineering, finance, when the input data (coefficients, forcing investigates the rapid expansion of CSE and biology. The minisymposium brings terms, initial and boundary conditions, since the beginning of the 21st century and together researchers from diverse application geometry) are affected by large amounts the challenges the CSE field is encountering domains to introduce and transfer recent of uncertainty. The resulting explosion in in the context of recent disruptive contributions, as well as to discuss open computational effort is a symptom of the developments that include extreme-scale challenges due to increasing demand for curse of dimensionality and this symposium computing, data-driven discovery, and a efficient techniques. aims at exploring breakthroughs in sparse comprehensive broadening of the application Organizer: AlbertoGiovanni sampling and representations, nonlinear and fields of CSE. There will be extensive Busetto greedy approximations, compressed sensing, opportunity for feedback and discussion, and University of California, Santa Barbara, multilevel methods, and ”best-N-term” these challenges and opportunities will also USA approximations. be discussed further in today’s lunchtime Forward Looking Panel. Organizer: James Beck Organizer: Clayton G. Webster California Institute of Technology, USA Organizer: Hans De Sterck Oak Ridge National Laboratory, USA University of Waterloo, Canada 9:10-9:30 Bayesian Updating for Organizer: Guannan Zhang Dynamic Systems Using Subset Oak Ridge National Laboratory, USA Organizer: Ulrich J. Ruede Simulation (Beck) and Active Model University of Erlangen-Nuremberg, Selection (Busetto) Organizer: Max Gunzburger Germany AlbertoGiovanni Busetto, University of Florida State University, USA Organizer: Lois Curfman McInnes California, Santa Barbara, USA; James Organizer: Albert Cohen Beck, California Institute of Technology, Argonne National Laboratory, USA Université Pierre et Marie Curie, France USA Organizer: Karen E. Willcox 9:10-9:30 Multilevel Simulation of Mean 9:35-9:55 Bayesian Inference of Massachusetts Institute of Technology, USA Exit Times Chemical Kinetic Models from Michael B. Giles, University of Oxford, 9:10-9:30 The Future of CSE Research Proposed Reactions United Kingdom; Francisco Bernal, Ulrich J. Ruede, University of Erlangen- Nikhil Galagali and Youssef M. Marzouk, Instituto Superior Tecnico, Portugal Nuremberg, Germany; Lois Curfman Massachusetts Institute of Technology, McInnes, Argonne National Laboratory, USA 9:35-9:55 A Multilevel Stochastic USA Collocation Method for Pdes with 10:00-10:20 Advanced Bayesian Random Inputs Computation for Challenging Aretha Teckentrup, University of Bath, United Problems in the Sciences and Kingdom; Peter Jantsch, University of Engineering Tennessee, USA; Max Gunzburger, Florida Mark Girolami, University of Warwick, State University, USA; Clayton G. Webster, United Kingdom Oak Ridge National Laboratory, USA 10:25-10:45 Topological Sensitivity Analysis in Systems Biology Ann C. Babtie, Paul Kirk, and Michael Stumpf, Imperial College London, United Kingdom continued on next page 2015 SIAM Conference on Computational Science and Engineering 91

10:00-10:20 Estimating the N-Width of Monday, March 16 Monday, March 16 Solution Manifolds of Parametric Pdes Albert Cohen, Université Pierre et Marie MS134 MS135 Curie, France Resilience in Numerical Model Error Assessment in 10:25-10:45 Hierarchical Acceleration of Stochastic Collocation Methods for Simulations and Algorithms Computational Physical PDEs with Random Input Data at Extreme Scale: Part III of Models - Part I of II Guannan Zhang and Clayton G. Webster, IV - Sparse Matrix Methods 9:10 AM-10:50 AM Oak Ridge National Laboratory, USA 9:10 AM-10:50 AM Room:250 D Room:250 C For Part 2 see MS161 For Part 2 see MS107 While parametric uncertainty quantification For Part 4 see MS160 is performed routinely in computational The advent of extreme scale machines will science and engineering, model error require the use of parallel resources at an assessment is still largely lacking and faces unprecedented scale, probably leading to a significant challenges that are yet to be high rate of hardware faults. Handling fully resolved. For example, it is unclear how these faults at the computer system level may to properly disambiguate data noise from have a prohibitive cost. High performance model errors. Recently there has been computing applications that aim at exploiting growing interest and some development all these resources will thus need to be towards the quantification of model errors, resilient, in this minisympoisum different i.e. the inherent discrepancies from the truth complementary approaches and methods will that cannot be reduced within the model be presented to possibly address this key assumptions. This minisymposium focuses aspect of extreme scale computing. on state-of-the-art and novel methods for quantification of model errors. It highlights Organizer: Keita Teranishi challenges and introduces a range of Sandia National Laboratories, USA available methods to the computational Organizer: Luc Giraud science community, hoping to contribute INRIA, France significantly to improving predictive fidelity of computational physical models across a Organizer: Michael Heroux range of disciplines. Sandia National Laboratories, USA Organizer: Khachik Sargsyan Organizer: Emmanuel Agullo Sandia National Laboratories, USA INRIA, France Organizer: Habib N. Najm 9:10-9:30 Inherent Error Resilience Sandia National Laboratories, USA of a Complex Moment-Based Eigensolver 9:10-9:30 Accounting for Model Error Akira Imakura, Yasunori Futamura, and in the Calibration of Physical Models Tetsuya Sakurai, University of Tsukuba, Habib N. Najm and Khachik Sargsyan, Japan Sandia National Laboratories, USA; Roger Ghanem, University of Southern 9:35-9:55 On the Reliability of Soft California, USA Error Detection in CGPOP Agullo Emmanuel, Luc Giraud, and 9:35-9:55 Predictive Rans Simulations Via Bayesian Model-Scenario Emrullah Fatih Yetkin, INRIA, France Averaging 10:00-10:20 Analysis of Krylov Solver Richard Dwight, Delft University of Resilience in the Presence of Soft- Technology, Netherlands; Wouter Edeling, Faults TU Delft, Netherlands; Paola Cinnella, Miroslav Stoyanov and Clayton G. Webster, ENSAM, ParisTech, France Oak Ridge National Laboratory, USA 10:25-10:45 The Cost of Reliability: Iterative Linear Solvers and Reactive Fault Tolerance James Elliott, North Carolina State University, USA; Mark Hoemmen, Sandia National Laboratories, USA; Frank Mueller, North Carolina State University, USA continued on next page 92 2015 SIAM Conference on Computational Science and Engineering

Monday, March 16 Monday, March 16 Monday, March 16 MS135 MS136 MS137 Model Error Assessment in Advances in Time-stepping Advanced Finite Element Computational Physical Methods - Part I of V Methods for Nonlinear Models - Part I of II 9:10 AM-10:50 AM Materials and Fluids - 9:10 AM-10:50 AM Room:250 E Part III of III continued For Part 2 see MS162 9:10 AM-10:50 AM Time-stepping methods are numerical Room:250 F methods for the time evolution of ODEs, DAEs, and PDEs in the method-of-lines For Part 2 see MS110 10:00-10:20 Model Calibration and framework. Many applications require Numerical modeling of materials and Error Propagation for Large-Eddy specialized time-stepping methods in fluids with nonlinear behavior plays an Simulation of Turbulent Flows order to enhance efficiency or capture increasing role in computational science Myra Blaylock, Cosmin Safta, Stefan P. particular theoretical properties such and engineering, particularly in the high- Domino, John C. Hewson, and Jeremy as positivity, symplecticity, and strong- fidelity simulation of elastic and plastic Templeton, Sandia National Laboratories, stability-preservation or practical properties deformations, magneto-sensitive materials, USA such as parallelization on emerging high- liquid crystals, biological tissues and performance architectures, component (e.g., blood flow, among others. Despite a long 10:25-10:45 Bayesian Model history of efforts, there is still a need for Calibration Techniques That multirate or local time-stepping) and physics (IMEX or semi-implicit) splittings based the development of advanced finite-element Incorporate Mixed Effects and Model methods with specific properties such as Discrepancy on sub-system properties, and reliable error estimation and control. The talks in this accurate representation of stresses, forces, Brian Williams, Los Alamos National and other quantities depending on the Laboratory, USA; Kathleen Schmidt and minisymposium will describe recent novel developments in time-stepping methods application. In many of these applications, Ralph C. Smith, North Carolina State mesh-adaptive implementations and efficient University, USA and demonstrate their benefits in practical applications. solvers are an important issue due to the size and complexity of the problems. Organizer: Emil M. Constantinescu Organizer: James H. Adler Argonne National Laboratory, USA Tufts University, USA Organizer: Michael Guenther Organizer: Gerhard Starke Bergische Universität, Germany University of Duisburg-Essen, Germany Organizer: Adrian Sandu Organizer: Thomas Manteuffel Virginia Tech, USA University of Colorado Boulder, USA Organizer: Raymond J. Spiteri 9:10-9:30 Nested Iteration and University of Saskatchewan, Canada First-Order System Least Squares 9:10-9:30 Generalized Structure for Preconditioning a Two-Fluid Additive Runge-Kutta Methods Electromagnetic Plasma Model Adrian Sandu, Virginia Tech, USA; Michael Chris Leibs and Thomas Manteuffel, Guenther, Bergische Universität, Germany University of Colorado Boulder, USA 9:35-9:55 Resolvent Expansions for 9:35-9:55 An Energy-Minimization Higher-order Simulations of PDEs Finite-Element Approach for the Andrew J. Christlieb, Michigan State Frank-Oseen Model of Nematic University, USA; Matthew Causley, Liquid Crystals Kettering University, USA; Hana Cho, David B. Emerson, James H. Adler, Scott Michigan State University, USA Maclachlan, and Timothy Atherton, Tufts 10:00-10:20 K-Methods, An Extension University, USA of Exponential and Rosenbrock Time Integrators Paul Tranquilli, Adrian Sandu, and Ross Glandon, Virginia Tech, USA 10:25-10:45 Efficient Exponential Integrators: Construction, Analysis and Implementation Mayya Tokman, University of California, Merced, USA continued on next page 2015 SIAM Conference on Computational Science and Engineering 93

10:00-10:20 Energy Laws and First- Monday, March 16 Monday, March 16 Order System Least Squares for MHD systems MS138 MS139 Ilya Lashuk, Georgia Institute of Technology, USA; James H. Adler and Scott UQ in Large Scale Inverse Analysis and Maclachlan, Tufts University, USA; Computing - Part I of II Uncertainty Quantification Ludmil Zikatanov, Pennsylvania State in Fluid Mechanics - University, USA 9:10 AM-10:50 AM Part I of II 10:25-10:45 Quantity-of-Interest Room:251 A Based Least-Squares Finite Element For Part 2 see MS164 9:10 AM-10:50 AM Methods The move towards ever-larger scale Room:251 B Jehanzeb H. Chaudhry, Florida State computing is bringing both challenges and University, USA; Thomas Manteuffel, opportunities to the field of uncertainty For Part 2 see MS165 University of Colorado Boulder, USA; quantification. On the one hand, the increase Advances in computing resources and Luke Olson, University of Illinois at in computing power helps to offset the cost algorithms have enabled simulations of Urbana-Champaign, USA; Eric C. Cyr, of UQ, even for complex applications. On engineered systems of unprecedented Sandia National Laboratories, USA; Kuo the other hand, communication bottlenecks, complexity. Increasingly, these simulations Liu and Lei Tang, University of Colorado increased frequencies of soft and hard faults, are being used to inform important design Boulder, USA and limits on memory create computational and operational decisions. In this context, challenges for UQ algorithms. Furthermore, providing defensible uncertainty estimates the relative sparsity of validation data for for computed quantities of interest is critical. high-dimensional, complex applications The aim of this minisymposium is to bring puts strenuous demands on UQ to assess the together researchers developing approaches predictive fidelity of the simulations. This for quantifying uncertainties, including those minisymposium brings together talks that due to uncertain parameters, inadequate address these challenges. physical models, and uncertain or sparse experimental data, in fluid mechanics Organizer: Bert J. Debusschere applications. There is broad interest in both Sandia National Laboratories, USA statistical approaches and fluids mechanics Organizer: Eric Phipps applications for participation in this Sandia National Laboratories, USA minisymposium. 9:10-9:30 Parametric Uncertainty Organizer: Paul Bauman Propagation in Resilient Domain State University of New York, Buffalo, USA Decomposition Methods Organizer: Todd Oliver Paul Mycek, Duke University, USA; Olivier University of Texas at Austin, USA P. Le Maitre, LIMSI-CNRS, France; Francesco Rizzi, Khachik Sargsyan, Karla Organizer: David Salac Morris, and Bert J. Debusschere, Sandia University of Buffalo, SUNY, USA National Laboratories, USA; Omar M. Organizer: Abani K. Patra Knio, Duke University, USA State University of New York, Buffalo, USA 9:35-9:55 Exploring Embedded 9:10-9:30 Comparison of Laminar Uncertainty Quantification Methods Flame Models in the Presence of on Next-Generation Computer Uncertainty Architectures Paul Bauman, State University of New York, Eric Phipps, H. Carter Edwards, and Jonathan Buffalo, USA J. Hu, Sandia National Laboratories, USA 9:35-9:55 Towards Experimental 10:00-10:20 Hierarchically Design Strategies for Inadequate Accelerated Stochastic Collocation Models for Random PDEs Gabriel Terejanu and Xiao Lin, University Peter Jantsch, University of Tennessee, of South Carolina, USA USA; Diego Galindo, Clayton G. Webster, and Guannan Zhang, Oak Ridge National 10:00-10:20 Liposome Vesicles in the Laboratory, USA Presence of Uncertainty David Salac, University of Buffalo, SUNY, 10:25-10:45 A Multilevel Solution USA Strategy for the Stochastic Galerkin Method for PDEs with Random 10:25-10:45 Robust Optimization for Coefficients Decision Making under Uncertainty Sarah Osborn and Victoria Howle, Texas Florian Augustin, and Youssef M. Marzouk, Tech University, USA; Jonathan J. Hu and Massachusetts Institute of Technology, Eric Phipps, Sandia National Laboratories, USA USA 94 2015 SIAM Conference on Computational Science and Engineering

Monday, March 16 Monday, March 16 Monday, March 16 MS140 MS141 MS142 Modern Computational Reducing Communication in Anderson Acceleration and Modeling in Fluids Sparse Linear Solvers Applications 9:10 AM-10:50 AM 9:10 AM-10:50 AM 9:10 AM-10:50 AM Room:251 C Room:251 D Room:251 E Part of the SIAM Workshop Celebrating As communication becomes relatively more Anderson acceleration is an algorithm Diversity expensive to computation on modern and for accelerating the convergence of fixed future architectures, there has been much point or Picard iteration. The method was Recent advances in computational modeling recent interest in reducing communication invented in 1965 to accelerate the SCF in fluids have given researchers the ability to in linear algebra. For sparse solvers, iteration in electronic structure computations address complex hydrodynamic phenomena communication-avoiding methods based on and is now widely used in that field. observed in experiments that arise in both s-step iterative methods have shown great Anderson acceleration does not require the physical fluids problems as well as more promise, but have not yet been widely adopted computation or approximation of Jacobians modern biological fluid applications. In in practice. Hierarchical or nested solvers is or Jacobian-vector products, and this can this minisymposium a survey of new another way to reduce communication and be an advantage over Newton-like methods. modeling and computational approaches, synchronization. We present recent work in In this minisymposium the speakers will inspired by experiment, will be presented these areas, with focus on preconditioned discuss new convergence results, open to a diverse set of challenging problems in Krylov subspace solvers. Such solvers play a questions, and applications including multi- these areas. These problems include modern crucial role in CS&E. physics coupling and radiative transport. computational fluid approaches to more classic problems such as surfactant spreading Organizer: Erik G. Boman Organizer: C.T. Kelley and vortex merger as well as important Sandia National Laboratories, USA North Carolina State University, USA biological problems such as sperm motility 9:10-9:30 Enlarged Krylov Subspace 9:10-9:30 Anderson Acceleration: and thrombus formation. Methods for Reducing Communication Convergence Theory and Numerical Organizer: David T. Uminsky Laura Grigori and Sophie Moufawad, Experience University of San Francisco, USA INRIA, France; Frederic Nataf, Laboratoire C.T. Kelley and Alex Toth, North Carolina Jacques-Louis Lions, France State University, USA Organizer: Raegan Higgins Texas Tech University, USA 9:35-9:55 Preconditioning 9:35-9:55 Anderson Acceleration for Communication-Avoiding Krylov Parallel Applications Organizer: Susan E. Minkoff Methods John Loffeld and Carol S. Woodward, University of Texas at Dallas, USA Siva Rajamanickam, Sandia National Lawrence Livermore National Laboratory, Organizer: Stephen Wirkus Laboratories, USA USA Arizona State University, USA 10:00-10:20 Efficient Deflated- 10:00-10:20 On the Performance 9:10-9:30 A Computational Model of Based Preconditioning for the of Anderson Acceleration for Sperm Motility Through Viscoelastic Communication-Avoiding Conjugate Multiphysics Problems Networks Gradient Method Roger Pawlowski, Sandia National Jacek Wrobel, Ricardo Cortez, and Lisa J. Erin C. Carson, Nicholas Knight, and James Laboratories, USA; Steven Hamilton Fauci, Tulane University, USA W. Demmel, University of California, and Mark Berrill, Oak Ridge National Berkeley, USA Laboratory, USA; Alexander R. Toth 9:35-9:55 Mathematical Modeling of and C.T. Kelley, North Carolina State Blood Clot Formation Under Flow 10:25-10:45 Hierarchical and Nested Krylov Methods for Extreme-Scale University, USA; Andrew Salinger, Sandia Karin Leiderman, University of California, National Laboratories, USA Merced, USA Computing Hong Zhang and Lois Curfman McInnes, 10:25-10:45 Accelerating the EM 10:00-10:20 Experiment-Driven Argonne National Laboratory, USA Algorithm for Mixture-density Surfactant Spreading Models Estimation Rachel Levy, Harvey Mudd College, USA Joshua H. Plasse and Homer F. Walker, 10:25-10:45 A Multi-Moment Worcester Polytechnic Institute, USA Approach to Modeling the Onset of Vortex Merger David T. Uminsky, University of San Francisco, USA 2015 SIAM Conference on Computational Science and Engineering 95

Monday, March 16 9:35-9:55 Overlapping Clustering Monday, March 16 and Ldeim in Model Reduction for MS143 Nonlinear Inversion MS144 Alexander Grimm, Serkan Gugercin, Parametric Model Christopher A. Beattie, and Eric De Computational Methods and Reduction and Inverse Sturler, Virginia Tech, USA; Misha E. Uncertainty Quantification for Problems - Part III of IV Kilmer, Tufts University, USA Inverse Problems - 10:00-10:20 An Efficient Output Error Part I of II 9:10 AM-10:50 AM Bound for Model Order Reduction Room:251 F of Parametrized Nonlinear Evolution 9:10 AM-10:50 AM For Part 2 see MS116 Equations Room:254 A Peter Benner, Lihong Feng, and Yongjin For Part 4 see MS169 For Part 2 see MS170 Optimization and nonlinear inverse problems Zhang, Max Planck Institute for Dynamics of Complex Systems, Germany Inverse problems require estimating require the evaluation of a nonlinear function parameters in a mathematical model from for a slowly changing vector of parameters. 10:25-10:45 Efficiencies in Global indirect observations. The number of If this function involves the solution of Basis Approximation for Model unknown parameters is typically large, and one or more partial differential equations, Order Reduction in Diffuse Optical obtaining a meaningful estimate is often the computational cost may become Tomography impossible without special techniques such intractable. An important way to reduce the Meghan O’Connell and Misha E. Kilmer, as regularization. Moreover, even with computational cost is the use of reduced Tufts University, USA; Eric De Sturler, regularization, the resulting computational models for the function evaluation and its Serkan Gugercin, and Christopher A. problems are often very challenging. A derivatives. Typically, one wants to maintain Beattie, Virginia Tech, USA separate issue is that the measurements the parametric dependence of the problem in are stochastic, prior information contains the reduced model. The presentations in this uncertainty, and hence the solutions of inverse minisymposium consider both applications problems contain uncertainty. In some inverse and the theoretical background of parametric problems applications, quantifying uncertainty model reduction and inverse problems as in solutions is essential. The talks in this well as competing stochastic approaches and minisymposium will focus on computational their links with model reduction. methods both for solving inverse problems and Organizer: Eric De Sturler for quantifying uncertainty in solutions. Virginia Tech, USA Organizer: Johnathan M. Bardsley Organizer: Lars Ruthotto University of Montana, USA Emory University, USA Organizer: Aaron B. Luttman Organizer: Eldad Haber National Security Technologies, LLC, USA University of British Columbia, Canada 9:10-9:30 An MCMC Approach to Quantifying Uncertainties in Neutron Organizer: Misha E. Kilmer Tomography Tufts University, USA Aaron B. Luttman, Eric Machorro, and Daniel Organizer: Christopher A. Beattie Lowe, National Security Technologies, LLC, Virginia Tech, USA USA Organizer: Serkan Gugercin 9:35-9:55 Hierarchical Bayesian Virginia Tech, USA Sampling for Image Reconstruction of X-Ray and Proton Radiographs 9:10-9:30 Solution of the Full Marylesa Howard, National Security Waveform Inversion Problems via Technologies, LLC, USA; Michael Fowler, Projection based Reduced Order MathWorks, USA; Aaron B. Luttman, Models National Security Technologies, LLC, USA; Vladimir L. Druskin, Schlumberger-Doll Margaret Hock, Columbia University, USA Research, USA; Alexander V. Mamonov, University of Texas at Austin, USA; Mikhail Zaslavsky, Schlumberger-Doll Research, USA

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Monday, March 16 Monday, March 16 Monday, March 16 MS144 MS145 MS146 Computational Methods Task-based Scientific Student Days: and Uncertainty Computing Applications - Undergraduate Sessions - Quantification for Inverse Part I of II Part I of II Problems - 9:10 AM-10:50 AM 9:10 AM-10:50 AM Part I of II Room:254 B Room:254 C 9:10 AM-10:50 AM For Part 2 see MS171 For Part 2 see MS172 continued The extreme complexity of hardware Sponsored by the SIAG Applied Mathematics platforms makes them harder and harder to Education program. To fully exploit such machines, the Undergraduate Research in Applied and High Performance Community often uses Computational Mathematics. 10:00-10:20 Methods for Accurate a MPI + X (X being pthreads, OpenMP, Organizer: Peter R. Turner and Efficient Computation of the Cuda ...) programming models. In this Proper-Orthogonal-Decomposition minisymposium, we overview an alternative Clarkson University, USA with Large Data Sets solution consisting of programming at a higher 9:10-9:21 Interpreting Twitter Data from Brian Helenbrook and Fariddudin Behzad, level of abstractions by descrbing a scientific World Cup Tweets Clarkson University, USA computing application as a sequence of tasks. Carol Sadek and Caley Johns, Wofford Taking care of the dependences between tasks, College, USA 10:25-10:45 Proper Orthogonal a runtime system then processes the different Decomposition Based Reduced tasks on the available computational units. 9:26-9:37 Higher Dimensional Smooth Order Modeling for Real Time Monte Data Interpolation: Algorithmic Carlo Simulation Organizer: Emmanuel Agullo Techniques from Computational Indika G. Udagedara and Brian Helenbrook, INRIA, France Geometry Clarkson University, USA; Aaron B. Organizer: Hatem Ltaief Ariel Herbert-Voss, University of Utah, USA Luttman and Stephen Mitchell, National King Abdullah University of Science & 9:42-9:53 Valuation of American Security Technologies, LLC, US Technology (KAUST), Saudi Arabia Options and E. Coli Mutations 9:10-9:30 A Task-Based Sparse James A. Stronz, University of Illinois at Direct Solver Suited for Large Urbana-Champaign, USA Scale Hierarchical/heterogeneous 9:58-10:09 The Effects of Chronic Architectures Wasting Disease on Pennsylvania Deer Pierre Ramet, LABRI, Univ Bordeaux, France and Coyote Populations 9:35-9:55 Sparse Direct Solvers on Top Brandon D. Thrush, Shippensburg University, of a Runtime System USA Emmanuel Agullo, INRIA, France; Alfredo 10:14-10:25 Application of Lévy-Flight Buttari, CNRS, France; Florent Lopez, Firefly Algorithm in Solving Several Universite Paul Sabatier, France; Abdou Engineering Problems Guermouche, LaBRI, France Fauziah Andini Putri, Bandung Institute of 10:00-10:20 An Adaptable, Technology, Indonesia Application-Aware Task-Centric 10:30-10:41 A Bioinformatic Approach Runtime System to Colorectal Cancer Research George Bosilca, University of Tennessee, Nicolas Limogiannis and Nick Napier, Knoxville, USA Wofford College, USA 10:25-10:45 Task-Based Parallelization of the Fast Multipole Method on NVIDIA GPUs and Multicore Processors Eric F. Darve, Stanford University, USA; Emmanuel Agullo, Berenger Bramas, and Olivier Coulaud, INRIA, France; Matthias Messner, Stanford University, USA; Toru Takahashi, Nagoya University, Japan 2015 SIAM Conference on Computational Science and Engineering 97

Monday, March 16 Monday, March 16 Monday, March 16 MS147 MS148 MS149 Hybrid and Multilevel Reduced-order Models FASTMath Solver Approaches to Kinetic for PDE-constrained Technologies: Advances Equations - Part I of IV Optimization Problems - and Applications - 9:10 AM-10:50 AM Part I of II Part I of II Room:150 AB 9:10 AM-10:50 AM 9:10 AM-10:50 AM For Part 2 see MS173 Room:150 DE Room:258 In recent years, a significant amount of For Part 2 see MS174 For Part 2 see MS175 effort has been directed to solving kinetic Model reduction is an indispensable tool for Efficient, scalable, and reliable algorithms equations. Generally, kinetic equations simulation-based science, in problem tasks for the solution of algebraic equations have posed a challenge due to the large where multiple simulation requests or real- are crucial for the success of large-scale phase space associated with the equations, time simulation response by fast approximate simulations. This minisymposium focuses however algorithmic advances and models are desired. This minisymposium on new developments in FASTMath solver advances in computer hardware have made addresses the particular challenges of algorithms and software, which include these simulations more tractable. In this model reduction for optimization and iterative and direct linear solution methods, minisymposium, we consider hybrid and optimal control, i.e. scenarios such as shape nonlinear solvers, and eigensolvers, and multilevel approaches to solving kinetic optimization, parameter optimization, multi- their use in applications. We will describe equations. objective optimization, optimal control, efforts to increase the efficiency of Organizer: Jeffrey A. Willert feedback control or other PDE-constrained algorithms and software, extensions of their Los Alamos National Laboratory, USA optimization problems. Such problems are usability to next generation computers, relevant to many applications in science and including heterogeneous architectures, Organizer: Cory Hauck engineering, such as fluid mechanics, solid mesh solver interactions as well as the Oak Ridge National Laboratory, USA mechanics, geophysics, electro-magnetics impact of FASTMath solvers on large-scale Organizer: Ryan G. McClarren and acoustics. multiphysics applications. Texas A&M University, USA Organizer: Andrea Manzoni Organizer: Ulrike M. Yang Organizer: Martin Frank École Polytechnique Fédérale de Lausanne, Lawrence Livermore National Laboratory, RWTH - Aachen University of Technology, Switzerland USA Germany Organizer: Bernard Haasdonk 9:10-9:30 New Developments in Organizer: Jingmei Qiu University of Stuttgart, Germany hypre’s Interfaces and Solvers Ulrike Meier Yang, Lawrence Livermore University of Houston, USA 9:10-9:30 Projection-based ROMs National Laboratory, USA 9:10-9:30 Kinetic Theory Molecular for Parametrized PDE-constrained Dynamics Optimization and Control Problems 9:35-9:55 Strategies for Reducing Frank Graziani, Lawrence Livermore Andrea Manzoni, École Polytechnique Setup Costs in Algebraic Multigrid National Laboratory, USA Fédérale de Lausanne, Switzerland Jonathan J. Hu and Andrey Prokopenko, Sandia National Laboratories, USA 9:35-9:55 Realizability in High-Order 9:35-9:55 Aeroelastic Design Numerical Solutions of Entropy-Based Optimization with Flutter Constraints 10:00-10:20 A Distributed CPU-GPU Moment Closures and Local Rom Interpolation Sparse Direct Solver Graham Alldredge, RWTH Aachen Youngsoo Choi, David Amsallem, and Xiaoye Sherry Li, Lawrence Berkeley University, Germany Charbel Farhat, Stanford University, USA National Laboratory, USA; Piyush Sao and Richard Vuduc, Georgia Institute of 10:00-10:20 POD-G Reduced Order 10:00-10:20 A High-Order / Low- Technology, USA Order Approach to Ocean Modeling Models for Prediction and Control of Chris Newman, Geoff Womeldorff, Dana Turbulent Flows 10:25-10:45 Next Generation Sparse Knoll, and Luis Chacon, Los Alamos S.S. Ravindran, University of Alabama, Symmetric Factorization National Laboratory, USA Huntsville, USA Mathias Jacquelin and Esmond G. Ng, Lawrence Berkeley National Laboratory, 10:25-10:45 Parameterized Reduced- 10:25-10:45 Control Strategies for USA Multi-Agent Games Order Models for Shape Optimization Michael Herty, RWTH - Aachen University of Flow Domains of Technology, Germany Jeff Borggaard, Virginia Tech, USA 98 2015 SIAM Conference on Computational Science and Engineering

Monday, March 16 Monday, March 16 Monday, March 16 MS150 MS151 MS152 High-Order Methods Software Components for Recent Advances in a for Computational Fluid Integral Equation Methods - Posteriori Error Estimations Dynamics - Part III of IV Part I of IV and Adaptive Methods - 9:10 AM-10:50 AM 9:10 AM-10:50 AM Part I of II Room:259 Room:260 A 9:10 AM-10:50 AM For Part 2 see MS123 For Part 2 see MS177 Room:260 B For Part 2 see MS176 Due to recent advances in the underlying For Part 2 see MS178 Novel contributions in the field of high- technology, integral equations have become Self-adaptive numerical methods provide order numerical methods for computational highly competitive in attacking the most a powerful and automatic approach in fluid dynamics. Presentations will explore challenging of elliptic, globally-coupled PDE scientific computing. In particular, Adaptive new high-order methods, benchmarking problems. However, compared to a standard Mesh Refinement (AMR) algorithms of existing schemes, and applications to off-the-shelf finite element methods, a have been widely used in computational turbulent flow problems. larger amount of machinery is involved, science and engineering and have become including fast algorithms, preconditioners, Organizer: Brian C. Vermeire a necessary tool in computer simulations of and singular quadrature methods. To Imperial College London, United Kingdom complex natural and engineering problems. make this theoretically attractive family of The key ingredient for success of self- Organizer: Antony Jameson methods practically usable, many of these adaptive numerical methods is a posteriori Stanford University, USA components need to be readily available in error estimates that are able to accurately software form. This minisymposium seeks to Organizer: Peter E. Vincent locate sources of global and local error in bring together practitioners and researchers Imperial College London, United Kingdom the current approximation. Talks in this with the goal of encouraging exchange of minisymposium will cover some recent 9:10-9:30 Understanding the Role of ideas and discovering opportunities for advances in the development and analysis of Spectral Vanishing Viscosity in High collaboration in this direction. both a posteriori estimators and (convergent) Reynolds Number Flows Organizer: Timo Betcke adaptive schemes, as well as indicate Rodrigo Moura, Jean-Eloi Lombard, David University College London, United Kingdom directions of future research Moxey, Yan Bao, and Spencer Sherwin, Imperial College London, United Organizer: Andreas Kloeckner Organizer: Zhiqiang Cai Kingdom University of Illinois, USA Purdue University, USA 9:35-9:55 A Theoretical and 9:10-9:30 BEM++ - Building Blocks for Organizer: Shun Zhang Computational Framework for Galerkin Boundary Element Methods City University of Hong Kong, Hong Kong Measure-Valued Solutions to Timo Betcke, Simon Arridge, and Elwin 9:10-9:30 Recovery Based a Posteriori Conservation Laws van’t Wout, University College London, Error Estimation for Finite Element Zakerzadeh Mohammad and Georg May, United Kingdom Methods RWTH Aachen University, Germany 9:35-9:55 Resolving Uncomfortable Zhiqiang Cai, Purdue University, USA 10:00-10:20 An Implicit Les Strategy Tradeoffs in Building Fast Boundary- 9:35-9:55 Localized H(div) Recovery- for High Order Discontinuous Galerkin Element Method Solvers: It’s Not the Based a Posteriori Error Estimators Discretizations Hows, It’s the Whys Xu Zhang and Zhiqiang Cai, Purdue Andrea D. Beck and David Flad, University Jaydeep Bardhan, Northeastern University, University, USA of Stuttgart, Germany; Claus-Dieter USA; Matthew G. Knepley, University of Munz, Institut fuer Aerodynamik und Chicago, USA 10:00-10:20 Robust a-Posteriori Gasdynamik (IAG), Germany Error Estimation for Finite Element 10:00-10:20 A Numerical Routine for Approximation to H(curl) Problem 10:25-10:45 High-Order Finite-Volume Fast Spherical Grid Rotations Shuhao Cao, Pennsylvania State University, Solution of Turbulent Aerodynamic Shravan Veerapaneni, University of USA Flows Michigan, USA Alireza Jalali and Carl Ollivier-Gooch, 10:25-10:45 Adaptive Finite Element 10:25-10:45 Applications of University of British Columbia, Canada Methods for Fourth Order Problems Accelerated BEM in Aeronautics Jun Hu, Peking University, China Nolwenn Balin and Benoit Lizé, Airbus, United Kingdom; Guillaume Sylvand, Airbus Operation S.A.S., France; Isabelle Terrasse, Airbus, United Kingdom 2015 SIAM Conference on Computational Science and Engineering 99

Monday, March 16 Monday, March 16 Monday, March 16 MS153 MS154 MS155 A Hierarchy of Models Novel Spectral Large Scale Computing in for Computational Approximation: Theory, the Geosciences - Neuroscience Algorithms and Applications Part I of II 9:10 AM-10:50 AM - Part I of II 9:10 AM-10:50 AM Room:151 AB 9:10 AM-10:50 AM Room:151 G This minisymposium will focus on a Room:151 DE For Part 2 see MS181 hierarchy of mathematical/physical models For Part 2 see MS180 Advances in scientific computing (new (from discrete ions to the continuum drift- Spectral and high-order methods traditionally algorithms, open-source software, high diffusion model to a continuum spine offer high-accuracy computational results performance computing) have made it possible model) for predicting neurological behavior in scientific computing. Yet, recent research to solve larger and larger problems. These at various levels. Numerical simulations focuses on very different and compelling advances are especially advantageous in the and mathematical analyses of the models advantages for applications. These include geosciences, where typical problems are will be presented, and applied to diverse low dispersion for wave propagation time-dependent and three-dimensional with neuroscience problems like the retina, problems, near-minimal degrees of freedom little or no symmetry and with important sensory processing, and neuron signaling. for oscillatory problems and great flexibility dynamics at multiple scales. Geoscientists are Organizer: Carl L. Gardner in dealing with complicated geometries. increasingly relying on cutting-edge software and algorithms to advance the understanding Arizona State University, USA The goal of this minisymposium is to present an overview of such contemporary of planet Earth. This minisymposium brings Organizer: Steven M. Baer research topics. Methods of recent interest together geophysicists, mathematicians, Arizona State University, USA include Fourier extensions or continuations, and computer scientists to discuss the latest 9:10-9:30 Continuum Spine Modeling radial basis functions and redundant developments at the intersection of these fields. with Application to Outer Retina frame discretizations. Challenges involve Organizer: Sander Rhebergen Neurocircuitry obtaining fast transforms and well- University of Oxford, United Kingdom Steven M. Baer, Arizona State University, conditioned discretizations, or overcoming Organizer: Andrew J. Wathen USA ill-conditioning in methods involving redundancy. The focus ranges from theory to University of Oxford, United Kingdom 9:35-9:55 Simulation of the Ephaptic applications. Effect in the Cone-Horizontal Cell Organizer: Richard F. Katz Synapse of the Retina Organizer: Daan Huybrechs University of Oxford, United Kingdom Carl L. Gardner, Arizona State University, Katholieke Universiteit Leuven, Belgium 9:10-9:30 Three-Field Block- USA 9:10-9:30 Fast Spectral PDE Solvers Preconditioners for Models of Coupled Magma/mantle Dynamics 10:00-10:20 Modeling of Calcium- for Complex Structures: the Fourier- Induced Calcium Release Continuation Method Sander Rhebergen, University of Oxford, United Kingdom; Garth Wells, University Dirk Gillespie, Rush University Medical Oscar P. Bruno, California Institute of of Cambridge, United Kingdom; Andrew Center, USA Technology, USA J. Wathen and Richard F. Katz, University 10:25-10:45 Dendritic Coincidence 9:35-9:55 Frame Theoretic of Oxford, United Kingdom; Laura Alisic Detection Enabling Wordspotting Convolutional Gridding and John Rudge, University of Cambridge, Computation Anne Gelb, Arizona State University, USA; United Kingdom Jennifer Hasler, Georgia Institute of Guohui Song, Clarkson University, USA 9:35-9:55 Parallel and Adaptive Mantle Technology, USA 10:00-10:20 Optimized Fourier Convection Simulation in Aspect Continuation Methods Timo Heister, Clemson University, USA; Mark Lyon, University of New Hampshire, Wolfgang Bangerth, Texas A&M University, USA USA 10:25-10:45 A New Radial Basis 10:00-10:20 HPC Finite Elements for Functions (RBF)-based Frame Method Nonlinear Stokes Flow to Bypass the Runge Phenomenon Dave A. May, ETH Zürich, Switzerland; Jed Cecile M. Piret, Université Catholique de Brown, Argonne National Laboratory, USA Louvain, Belgium and University of Colorado Boulder, USA 10:25-10:45 Large-Scale Forward and Inverse Numerical Simulations of Crustal and Lithospheric-Scale Deformation Boris Kaus, Anton Popov, and Tobias Baumann, Johannes Gutenberg-Universität, Mainz, Germany 100 2015 SIAM Conference on Computational Science and Engineering

Monday, March 16 Monday, March 16 Monday, March 16 Coffee Break PD3 Panel MS156 10:50 AM-11:20 AM The Future of CSE as a Featured Minisymposium: Room:255 Discipline Physics-compatible 12:15 PM-1:30 PM Numerical Methods Room:355 D 1:30 PM-3:10 PM Chair: David E. Keyes, King Abdullah Room:355 IP6 University of Science & Technology Physics-compatible numerical methods Scaling Open Systems (KAUST), Saudi Arabia are methods that aim to preserve key mathematical and physical properties of for Future Computational Over the past two decades Computational continuum physics models in their finite- Science and Engineering (CSE) has Challenges dimensional algebraic representations. penetrated the academy, with prominent They include methods which preserve 11:20 AM-12:05 PM roles in advancing research and providing properties such as energy, monotonicity, interdisciplinary education. However, a Room:355 maximum principles, symmetries, and combination of disruptive developments involutions of the continuum models. Chair: Anders Logg, Chalmers University of -- including extreme-scale computing, big Examples are mimetic methods for spatial Technology, Sweden data, and a significant diversification of the discretizations, variational and geometric applications of CSE in science, technology, Computational models are changing integrators, conservative finite-volume and and society -- is redefining the scope rapidly, partially in response to growing finite- element methods, etc. Research on and reach of CSE. This forward-looking data size and advances in high-performance physics-compatible numerical methods is panel will explore the future of CSE in a computing. Open approaches are well rapidly becoming a major research thrust broad academic context. What new “grand suited to this dynamic environment as across multiple disciplines within the challenges” may drive progress in CSE? they provide agile responses to complex, broader area of computational science and How can CSE shape the future of new evolving code, and support the greater engineering. Our principal goal in arranging application fields such as computational goal of ensuring reproducible science. This this minisymosium is to give samples of this medicine and biology, computational presentation introduces some open initiatives flourishing field. addressing big data and HPC and the role geoscience, and materials science? Are that software architectures and processes there opportunities to extend CSE to new Organizer: Mikhail Shashkov plays in advancing scientific computation. areas such as social network analysis, Los Alamos National Laboratory, USA cybersecurity and the social sciences, with Also discussed are emerging trends including 1:30-1:50 Mimetic Finite-Difference mathematics-based large-scale computing competitive challenges and active publications Methods rapidly becoming of crucial importance that will likely play an important role in the Mikhail Shashkov, Los Alamos National in almost all areas of society? Is the CSE creation, development and deployment of Laboratory, USA computational software. paradigm and focus sufficiently unique and significant to warrant separate programs, 1:55-2:15 A High-Order/Low-Order Will Schroeder graduate degrees, academic departments, and Exponentially-Convergent IMC Kitware, Inc., USA funding streams? Method Simon Bolding and Jim E. Morel, Texas Panelists: A&M University, USA; Robert B. Lowrie, Lorena Barba Los Alamos National Laboratory, USA Lunch Break Boston University, USA 2:20-2:40 Multiphysics Lagrangian/ Wolfgang Marquardt Eulerian Modeling and deRham 12:05 PM-1:30 PM RWTH Aachen University, Germany Complex Based Algorithms Allen C. Robinson, Sandia National Attendees on their own J. Tinsley Oden Laboratories, USA University of Texas at Austin, USA 2:45-3:05 A Sub Cell Dynamics Based Padma Raghavan Closure Model for Multimaterial Pennsylvania State University, USA Arbitrary Lagrangian Eulerian Codes Ed Seidel Andrew J. Barlow, Atomic Weapons University of Illinois at Urbana- Establishment, United Kingdom Champaign, USA 2015 SIAM Conference on Computational Science and Engineering 101

Monday, March 16 Monday, March 16 Monday, March 16 MS157 MS158 MS159 Cut Cells: Algorithms and Recent Advances in High-dimensional Applications - Part II of II Bayesian Methods for Approximation and 1:30 PM-3:10 PM Computational Science and Integration: Analysis and Room:355 A Engineering - Part II of II Computation - Part IV of V For Part 1 see MS130 1:30 PM-3:10 PM 1:30 PM-3:10 PM Cut cell methods solve PDEs in complex Room:250 A Room:250 B geometry using a regular Cartesian grid with special treatment for cells that intersect For Part 1 see MS132 For Part 3 see MS133 the boundary. These methods are attractive This minisymposium highlights the most For Part 5 see MS185 because they easily represent complex recent impact of Bayesian inference for This minisymposium focuses on the and moving geometries. Cut cell methods uncertainty quantification, statistical fundamental problem of how to accurately have been used with finite difference, modeling, experimental design, approximate solutions of both forward volume and element discretizations, across and optimization. We discuss novel and inverse high-dimensional functions. a wide range of problems, including approximation techniques bringing with Predicting the behavior of complex aerodynamics, meteorology, oceanography, them a myriad of new potential applications phenomena relies on constructing solutions and others. Challenges include gaps in from medicine to engineering, finance, in terms of high dimensional spaces, theoretical underpinnings; issues due to and biology. The minisymposium brings particularly in the case when the input arbitrarily small cells; and the programming together researchers from diverse application data (coefficients, forcing terms, initial complexity that arises with cell merging domains to introduce and transfer recent and boundary conditions, geometry) are and other stabilization techniques. This contributions, as well as to discuss open affected by large amounts of uncertainty. minisymposium will highlight recent challenges due to increasing demand for The resulting explosion in computational algorithmic advances, and include a variety efficient techniques. effort is a symptom of the curse of of science domain applications. Organizer: AlbertoGiovanni dimensionality and this symposium aims at exploring breakthroughs in sparse sampling Busetto Organizer: Hans Johansen and representations, nonlinear and greedy Lawrence Berkeley National Laboratory, University of California, Santa Barbara, approximations, compressed sensing, USA USA multilevel methods, and ”best-N-term” Organizer: Marsha Berger Organizer: James Beck approximations. Courant Institute of Mathematical Sciences, California Institute of Technology, USA Organizer: Guannan Zhang New York University, USA 1:30-1:50 On the Use of Particle Oak Ridge National Laboratory, USA 1:30-1:50 A Higher-Order Cut Cell Based Methods for the Real Time Organizer: Albert Cohen Identification and Control of Finite Volume Method For Advection- Université Pierre et Marie Curie, France Diffusion Nonlinear Dynamical Systems Organizer: Max Gunzburger Dharshi Devendran and Hans Johansen, Eleni Chatzi, ETH Zürich, Switzerland Florida State University, USA Lawrence Berkeley National Laboratory, 1:55-2:15 Bayesian Uncertainty USA Quantification and Propagation for Organizer: Clayton G. Webster Molecular Dynamic Simulations in 1:55-2:15 A Mixed Explicit Implicit Oak Ridge National Laboratory, USA Nanoscale Fluid Mechanics Time Stepping Scheme for Cartesian 1:30-1:50 Option Pricing and the Embedded Boundary Meshes Petros Koumoutsakos and Panagiotis Anova Decomposition of a Function Angelikopoulos, ETH Zürich, Sandra May, ETH Zürich, Switzerland; of An Infinite Number of Variables Switzerland; Costas Papadimitriou, Marsha Berger, Courant Institute of Ian H. Sloan and Frances Y. Kuo, University University of Thessaly, Greece Mathematical Sciences, New York of New South Wales, Australia; Michael University, USA 2:20-2:40 Sequentially Constrained Griebel, University of Bonn, Germany Monte Carlo 2:20-2:40 Inverse Lax-Wendroff 1:55-2:15 Application of Quasi-Monte Procedure for Numerical Boundary Dave A. Campbell, Simon Fraser University, Carlo Methods to PDEs with Random Conditions of Hyperbolic Equations Canada; Shirin Golchi, Columbia Coefficients Chi-Wang Shu, Brown University, USA University, USA Frances Y. Kuo, University of New South Wales, Australia 2:45-3:05 Representing Topography 2:45-3:05 Computationally Efficient Tools for Bayesian Uncertainty in Earth System Models with Porous 2:20-2:40 Adaptive Monte Carlo and Quantification and Propagation in Barriers Quasi-Monte Carlo Integration Structural Dynamics Alistair Adcroft, Princeton University, USA Fred J. Hickernell, Lan Jiang, and Antoni Costas Papadimitriou, University Luís Jiménez Rugama, Illinois Institute of of Thessaly, Greece; Panagiotis Technology, USA Angelikopoulos, Panagiotis Hadjidoukas, and Petros Koumoutsakos, ETH Zürich, continued on next page Switzerland 102 2015 SIAM Conference on Computational Science and Engineering

Monday, March 16 Monday, March 16 2:20-2:40 Hierarchical Resilience for Structured AMR MS159 MS160 Anshu Dubey, Lawrence Berkeley National Laboratory, USA; Hajime Fujita and High-dimensional Resilience in Numerical Zachary Rubenstein, University of Chicago, Approximation and Simulations and Algorithms USA; Brian Van Straalen, Lawrence Integration: Analysis and at Extreme Scale: Berkeley National Laboratory, USA; Andrew A. Chien, University of Chicago Computation - Part IV of V Part IV of IV - Applications and Argonne National Laboratory, USA 1:30 PM-3:10 PM 1:30 PM-3:10 PM 2:45-3:05 Resilience Properties of continued Room:250 C Gossip-Style Algorithms Wilfried N. Gansterer, Gerhard For Part 3 see MS134 Niederbrucker, Michael Moldaschl, and The advent of extreme scale machines will Karl Prikopa, University of Vienna, Austria require the use of parallel resources at an 2:45-3:05 H-Matrix Accelerated unprecedented scale, probably leading to a Second Moment Analysis for high rate of hardware faults. Handling fully Potentials with Rough Correlation these faults at the computer system level may Helmut Harbrecht, Juergen Doelz, and have a prohibitive cost. High performance Michael Peters, Universität Basel, computing applications that aim at exploiting Switzerland; Christoph Schwab, ETH all these resources will thus need to be Zürich, Switzerland resilient, in this minisymposium different complementary approaches and methods will be presented to possibly address this key aspect of extreme scale computing. Organizer: Keita Teranishi Sandia National Laboratories, USA Organizer: Luc Giraud INRIA, France Organizer: Emmanuel Agullo INRIA, France Organizer: Michael Heroux Sandia National Laboratories, USA 1:30-1:50 Adaptive Determination of Optimal Multilevel Monte Carlo parameters in the Presence of Failures Peter Arbenz and Stefan Pauli, ETH Zürich, Switzerland 1:55-2:15 Spatial Decomposition for Resilient Extreme-Scale Scientific Simulations Francesco Rizzi, Khachik Sargsyan, Karla Morris, and Cosmin Safta, Sandia National Laboratories, USA; Paul Mycek and Omar M. Knio, Duke University, USA; Olivier LeMaitre, LIMSI-CNRS, France; Habib N. Najm and Bert J. Debusschere, Sandia National Laboratories, USA

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Monday, March 16 Monday, March 16 2:20-2:40 Fast Time-Domain Simulation for Reliable Fault Detection MS161 MS162 E. Jan W. ter Maten, Bergische Universität Wuppertal, Germany; Bratislav Tasic, Model Error Assessment in Advances in Time-stepping Jos J. Dohmen, Theo G.J. Beelen, and Computational Physical Methods - Part II of V Rick Janssen, NXP Semiconductors, Models - Part II of II Research, The Netherlands; Wil Schilders, 1:30 PM-3:10 PM Eindhoven University of Technology, 1:30 PM-3:10 PM Room:250 E Netherlands; Michael Guenther, Bergische Universität, Germany Room:250 D For Part 1 see MS136 For Part 1 see MS135 For Part 3 see MS188 2:45-3:05 Modelling Transmission While parametric uncertainty quantification is Time-stepping methods are numerical Power Systems with the Implicit DAE performed routinely in computational science methods for the time evolution of ODEs, Solver, IDA and engineering, model error assessment DAEs, and PDEs in the method-of-lines Philip Top, Carol S. Woodward, and Alan is still largely lacking and faces significant framework. Many applications require Hindmarsh, Lawrence Livermore National challenges that are yet to be resolved. For specialized time-stepping methods in Laboratory, USA example, it is unclear how to properly order to enhance efficiency or capture disambiguate data noise from model errors. particular theoretical properties such as Recently there has been growing interest and positivity, symplecticity, and strong-stability- some development towards the quantification preservation or practical properties such as of model errors, i.e. the inherent discrepancies parallelization on emerging high-performance from the truth that cannot be reduced within architectures, component (e.g., multirate or the model assumptions. This minisymposium local time-stepping) and physics (IMEX or focuses on state-of-the-art and novel semi-implicit) splittings based on sub-system methods for quantification of model errors. It properties, and reliable error estimation and highlights challenges and introduces a range control. The talks in this minisymposium of available methods to the computational will describe recent novel developments in science community, hoping to contribute time-stepping methods and demonstrate their significantly to improving predictive fidelity benefits in practical applications. of computational physical models across a Organizer: Emil M. Constantinescu range of disciplines. Argonne National Laboratory, USA Organizer: Khachik Sargsyan Organizer: Michael Guenther Sandia National Laboratories, USA Bergische Universität, Germany Organizer: Habib N. Najm Organizer: Adrian Sandu Sandia National Laboratories, USA Virginia Tech, USA 1:30-1:50 Uncertainty in Reynolds Organizer: Raymond J. Spiteri Stress Closures for Turbulent Flow University of Saskatchewan, Canada Calculations Gianluca Iaccarino and Michael A. Emory, 1:30-1:50 Optimal Convergence Rates Stanford University, USA; Catherine Gorle, of Co-Simulation Using Fine Structure University of Antwerp, Belgium Analysis Andreas Bartel and Kai Gausling, University 1:55-2:15 Eddy Viscosity Model of Wuppertal, Germany; Sebastian Schöps, Selection for Transonic Turbulent Flows TU Darmstadt, Germany Using Shrinkage Regression Lawrence Dechant, Sophia Lefantzi, Jaideep 1:55-2:15 Trigonometric Integration Ray, and Srinivasan Arunajatesan, Sandia Methods in Circuit Simulation National Laboratories, USA Hans-Georg Brachtendorf and Kai Bittner, University of Applied Science Hagenberg, 2:20-2:40 Estimating a Model Austria Discrepancy Term for the Community Land Model Using Latent Heat and Runoff Observations Jaideep Ray and Laura Swiler, Sandia National Laboratories, USA; Maoyi Huang and Zhangshuan Hou, Pacific Northwest National Laboratory, USA 2:45-3:05 Formulation and Calibration of a Stochastic Model Form Error Representation for Rans Robert D. Moser, Todd Oliver, and Bryan continued in next column Reuter, University of Texas at Austin, USA 104 2015 SIAM Conference on Computational Science and Engineering

Monday, March 16 Monday, March 16 Monday, March 16 MS163 MS164 MS165 Sparse Matrix Factorization UQ in Large Scale Inverse Analysis and on GPU's Computing - Part II of II Uncertainty Quantification 1:30 PM-3:10 PM 1:30 PM-3:10 PM in Fluid Mechanics - Part II of II Room:250 F Room:251 A Many problems of engineering interest For Part 1 see MS138 1:30 PM-3:10 PM (structural analysis, circuit simulation, The move towards ever-larger scale Room:251 B statistics, etc.) require the factorization computing is bringing both challenges and For Part 1 see MS139 and solution of large sparse linear systems. opportunities to the field of uncertainty Advances in computing resources and While today’s GPUs can provide several quantification. On the one hand, the increase algorithms have enabled simulations of teraflops of performance in a desktop in computing power helps to offset the cost engineered systems of unprecedented configuration, the use of GPUs for direct of UQ, even for complex applications. On complexity. Increasingly, these simulations sparse factorization has been limited due the other hand, communication bottlenecks, are being used to inform important design to the very irregular nature of the problem. increased frequencies of soft and hard faults, and operational decisions. In this context, Recently researchers have been making and limits on memory create computational providing defensible uncertainty estimates significant progress in accelerating direct challenges for UQ algorithms. Furthermore, for computed quantities of interest is critical. sparse factorization methods such as QR, the relative sparsity of validation data for The aim of this minisymposium is to bring LU and Cholesky, and LDLT on GPUs. The high-dimensional, complex applications together researchers developing approaches purpose of this minisymposium is to bring puts strenuous demands on UQ to assess the for quantifying uncertainties, including those together researchers studying algorithms for predictive fidelity of the simulations. This due to uncertain parameters, inadequate accelerating direct sparse factorization on minisymposium brings together talks that physical models, and uncertain or sparse GPUs. address these challenges. experimental data, in fluid mechanics Organizer: Steven C. Rennich Organizer: Bert J. Debusschere applications. There is broad interest in both NVIDIA, USA Sandia National Laboratories, USA statistical approaches and fluids mechanics Organizer: Timothy A. Davis Organizer: Eric Phipps applications for participation in this minisymposium. Texas A&M University, USA Sandia National Laboratories, USA Organizer: Paul Bauman 1:30-1:50 Accelerating the 1:30-1:50 Information-Theoretic Tools Supernodal Sparse Cholesky for Uncertainty Quantification of High State University of New York, Buffalo, USA Factorization on GPUs Dimensional Stochastic Models. Organizer: Todd Oliver Steven C. Rennich, NVIDIA, USA; Timothy Paul Dupuis, Brown University, USA; University of Texas at Austin, USA A. Davis, Texas A&M University, USA; Markos Katsoulakis and Yannis Pantazis, Organizer: David Salac Darko Stosic, NVIDIA, USA University of Massachusetts, Amherst, USA; Petr Plechac, University of University of Buffalo, SUNY, USA 1:55-2:15 Sparse Communication Delaware, USA Avoiding Pivoting and GPUs Organizer: Abani K. Patra Jonathan Hogg and Jennifer Scott, 1:55-2:15 Highly Scalable State University of New York, Buffalo, USA Rutherford Appleton Laboratory, United Hierarchical Sampling Algorithms for 1:30-1:50 Calibration of the Spalart- Kingdom Gaussian Random Fields Allmaras Turbulence Model for Blunt Panayot Vassilevski and Umberto E. Villa, Body Re-Entry Vehicle Flows Using 2:20-2:40 Sparse QR Factorization on Lawrence Livermore National Laboratory, DNS Data Heterogenous Platforms with Multiple USA GPUs Robert D. Moser, Todd Oliver, Victor Topalian, and Rhys Ulerich, University of Mohamed Gadou, University of Florida, 2:20-2:40 Use of Parallel MCMC Texas at Austin, USA USA; Timothy A. Davis, Texas A&M Methods with the Community Land University, USA; Sanjay Ranka, Model 1:55-2:15 Predictive Uncertainty University of Florida, USA Jaideep Ray and Laura Swiler, Sandia Quantification of An Ablating Entry National Laboratories, USA; Maoyi Vehicle Heatshield 2:45-3:05 GLU: LU Re-Factorization on Huang and Jason Hou, Pacific Northwest the GPU Roy Stogner, University of Texas at Austin, National Laboratory, USA USA Maxim Naumov, Sharan Chetlur, and Lung Sheng Chien, NVIDIA, USA 2:45-3:05 A Fast N-body Algorithm for Kernel Sums in High Dimensions George Biros and Bill March, University of Texas at Austin, USA; Bo Xiao, Georgia Institute of Technology, USA

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2:20-2:40 Construction of Gaussian Monday, March 16 Monday, March 16 Surrogate Process Using Numerical and Modeling Error Uncertainty MS166 MS167 Hossein Aghakhani and Abani K. Patra, State University of New York, Buffalo, USA; Computational Science for Elaine Spiller, Marquette University, USA Current Multidisciplinary See Tuesday 4:25 PM 2:45-3:05 Quantifying the Impact of Research Problems Numerical Errors Along with Other Uncertainties on Probabilistic Hazard 1:30 PM-3:10 PM Mapping Room:251 C Elaine Spiller, Marquette University, USA; Part of the SIAM Workshop Celebrating Hossein Aghakhani, State University of Diversity New York, Buffalo, USA Everyday scientists conduct research in an effort to contribute to the vast array of scientific disciplines. More and more, computational science is being used as part of these efforts. This minisymposium will highlight the outstanding research being conducted using computational science, with applications encompassing several disciplines. Specifically, as part of the Workshop Celebrating Diversity, the session will highlight the work of female scientists. Organizer: Talea Mayo Princeton University, USA Organizer: Talea Mayo Princeton University, USA Organizer: Susan E. Minkoff University of Texas at Dallas, USA Organizer: Stephen Wirkus Arizona State University, USA Organizer: Raegan Higgins Texas Tech University, USA 1:30-1:50 Optimization of Computational Simulation Set for Quantification of Hurricane Surge Extreme-Value Statistics Jennifer L. Irish, Virginia Tech, USA 1:55-2:15 Mathematical Modeling of Gliomas: Implications for Interpreting Therapeutic Efficacy Through Imaging Andrea Hawkins-Daarud and Russell Rockne, Northwestern University, USA; David Corwin, LaunchPad Lab, USA; Alexander R.A. Anderson, H. Lee Moffitt Cancer Center & Research Institute, USA; Paul Kinahan, University of Washington, USA; Kristin R. Swanson, Northwestern University, USA 2:20-2:40 Random Matrix Models for the Representation of Model Inadequacy: A Case Study in Chemical Kinetics Rebecca Morrison and Robert D. Moser, University of Texas at Austin, USA 2:45-3:05 Hurricane Storm Surge Risk Analysis for the US North Atlantic Coast Talea Mayo, and Ning Lin, Princeton University, USA 106 2015 SIAM Conference on Computational Science and Engineering

Monday, March 16 2:20-2:40 Certified Reduced Basis Monday, March 16 Model Reduction for Maxwell’s MS169 Equations MS168 Martin W. Hess and Peter Benner, Max Inverse Problems and Data Parametric Model Reduction Planck Institute for Dynamics of Complex Assimilation - Part I of VI and Inverse Problems - Systems, Germany Part IV of IV 2:45-3:05 Parameter Estimation for 1:30 PM-3:10 PM 1:30 PM-3:10 PM Inverse Problems Room:251 E Justin Krueger, Virginia Tech, USA Room:251 F For Part 2 see MS194 The aim of this minisymposium is to document For Part 3 see MS143 recent mathematical developments in the field Optimization and nonlinear inverse problems of inverse problems and data assimilation require the evaluation of a nonlinear function based on theoretical and numerical grounds for a slowly changing vector of parameters. that are relevant for various scientific If this function involves the solution of and real life applications. Topics for the one or more partial differential equations, minisymposium include but are not limited to: the computational cost may become intractable. An important way to reduce the 1) deterministic and statistical approaches to computational cost is the use of reduced inversion problems and data assimilation; models for the function evaluation and its 2) reduced order modeling inversion derivatives. Typically, one wants to maintain framework; the parametric dependence of the problem in 3) treatment of nonlinear and non-smooth the reduced model. The presentations in this processes; minisymposium consider both applications 4) sensitivity analysis and its application to and the theoretical background of parametric adaptive (targeting) observation; model reduction and inverse problems as well 5) operational data assimilation systems; as competing stochastic approaches and their 6) uncertainties impact studies; links with model reduction. 7) automatic tools to support inversion and data assimilation methodologies. Organizer: Eric De Sturler Organizer: Razvan Stefanescu Virginia Tech, USA Virginia Tech, USA Organizer: Lars Ruthotto Organizer: Adrian Sandu Emory University, USA Virginia Tech, USA Organizer: Eldad Haber Organizer: Ionel M. Navon University of British Columbia, Canada Florida State University, USA Organizer: Misha E. Kilmer Organizer: Dacian N. Daescu Tufts University, USA Portland State University, USA Organizer: Christopher A. Beattie 1:30-1:50 Nonlinear Model Order Virginia Tech, USA Reduction Using Pod/DEIM 4-D Var with Organizer: Serkan Gugercin Trust Region Applied to a Spherical Virginia Tech, USA Shallow Water Equations Model Ionel M. Navon, Florida State University, 1:30-1:50 Numerical Stability Issues in USA; Fangxin Fang, Imperial College H_2 approximation Methods London, United Kingdom; Juan Du, Zlatko Drmac, University of Zagreb, Croatia; Academia Sinica, China Christopher A. Beattie and Serkan Gugercin, Virginia Tech, USA 1:55-2:15 Aposteriori Error Estimates and Adaptive Reduced Order 1:55-2:15 Stochastic Approach to Modeling Data Assimilation Nonlinear Inversion Combining Razvan Stefanescu and Adrian Sandu, Virginia Simultaneous Random and Tech, USA Deterministic Sources Selin Sariaydin, Eric De Sturler, and Serkan 2:20-2:40 Interpolatory Model Gugercin, Virginia Tech, USA; Misha E. Reduction for Nonlinear Inversion Kilmer, Tufts University, USA Serkan Gugercin, Virginia Tech, USA 2:45-3:05 Reduced Order Modelling for Fluid-Structure Interaction Problems Francesco Ballarin, Politecnico di Milano, Italy; Gianluigi Rozza, SISSA, International School for Advanced Studies, Trieste, Italy continued in next column 2015 SIAM Conference on Computational Science and Engineering 107

Monday, March 16 Monday, March 16 Monday, March 16 MS170 MS171 MS172 Computational Methods Task-based Scientific Student Days: and Uncertainty Computing Applications - Undergraduate Sessions - Quantification for Inverse Part II of II Part II of II Problems - Part II of II 1:30 PM-3:10 PM 1:30 PM-3:10 PM 1:30 PM-3:10 PM Room:254 B Room:254 C Room:254 A For Part 1 see MS145 For Part 1 see MS146 For Part 1 see MS144 The extreme complexity of hardware Sponsored by the SIAG Applied Inverse problems require estimating platforms makes them harder and harder to Mathematics Education parameters in a mathematical model from program. To fully exploit such machines, the Undergraduate Research in Applied and indirect observations. The number of High Performance Community often uses Computational Mathematics. a MPI + X (X being pthreads, OpenMP, unknown parameters is typically large, and Organizer: Peter R. Turner obtaining a meaningful estimate is often Cuda ...) programming models. In this Clarkson University, USA impossible without special techniques such minisymposium, we overview an alternative as regularization. Moreover, even with solution consisting of programming at a 1:30-1:41 Bounds on Electrical Fields regularization, the resulting computational higher level of abstractions by descrbing in Two-Component Inhomogeneous problems are often very challenging. A a scientific computing application as a Bodies separate issue is that the measurements sequence of tasks. Taking care of the Zoe Koch, Michael Primrose, and Michael are stochastic, prior information contains dependences between tasks, a runtime Zhao, University of Utah, USA uncertainty, and hence the solutions of inverse system then processes the different tasks on the available computational units. 1:46-1:57 Pymethyl: A Bioinformatic problems contain uncertainty. In some inverse Approach to Methylation Patterns problems applications, quantifying uncertainty Organizer: Emmanuel Agullo and their Epigenetic Effects on Risk of in solutions is essential. The talks in this INRIA, France Breast Cancer minisymposium will focus on computational Cody Watson, Wofford College, USA methods both for solving inverse problems Organizer: Hatem Ltaief and for quantifying uncertainty in solutions. King Abdullah University of Science & 2:02-2:13 Estimation of Unmodeled Technology (KAUST), Saudi Arabia Gravitational Wave Transients: Organizer: Johnathan M. Bardsley an Application of Spline Based 1:30-1:50 Task Based Programming University of Montana, USA Regression and Particle Swarm with Pycompss: Leveraging Python in Optimization Organizer: Aaron B. Luttman Parallel Platforms Calvin Leung, Harvey Mudd College, USA National Security Technologies, LLC, USA Rosa M. Badia, Barcelona Supercomputing 1:30-1:50 Using Numerical Center, Spain 2:18-2:29 Modeling Bull Sperm Motility Using Image Processing Optimization Methods for Sampling in 1:55-2:15 A Task-Based Inverse Problems Computational Astronomy Linan Zhang, Worcester Polytechnic Johnathan M. Bardsley, University of Application Institute, USA Montana, USA Hatem Ltaief, King Abdullah University of 2:34-2:45 Mean Squared 1:55-2:15 Point Spread Reconstruction Science & Technology (KAUST), Saudi Displacement and Mean First from the Image of a Sharp Edge: Arabia Passage Time in Fluids with Memory Computation and Uncertainty 2:20-2:40 Coarse Grained Task-Based Michael Senter, University of Utah, USA Quantification Parareal Parallel-In-Time Applications 2:50-3:01 Persistent Random Walk of Kevin Joyce and Johnathan M. Bardsley, in Fusion Energy Microorganisms in a Porous Medium University of Montana, USA; Aaron B. Wael R. Elwasif, Oak Ridge National Grace Lim, California State Polytechnic Luttman, National Security Technologies, Laboratory, USA; Debasmita Samaddar, University, Pomona, USA; Aden Forrow, LLC, USA; Peter Golubstov, Moscow State UK Atomic Energy Authority, United Massachusetts Institute of Technology, University, Russia Kingdom USA 2:20-2:40 Constrained Iterative Solver 2:45-3:05 Applications at Airbus for Sparse Unmixing and Deblurring of Group of a Task-Based H-Matrix Hyperspectral Images Solver Sebastian Berisha, University of Guillaume Sylvand, Airbus Operation S.A.S., Pennsylvania, USA; James G. Nagy, France; Benoit Lize, Airbus, United Emory University, USA; Robert Plemmons, Kingdom Wake Forest University, USA 2:45-3:05 Statistical Tests for Total Variation Regularization Parameter Selection Jodi Mead, Boise State University, USA 108 2015 SIAM Conference on Computational Science and Engineering

Monday, March 16 Monday, March 16 Monday, March 16 MS173 MS174 MS175 Hybrid and Multilevel Reduced-order Models FASTMath Solver Approaches to Kinetic for PDE-constrained Technologies: Advances Equations - Part II of IV Optimization Problems - and Applications - 1:30 PM-3:10 PM Part II of II Part II of II Room:150 AB 1:30 PM-3:10 PM 1:30 PM-3:10 PM For Part 1 see MS147 Room:150 DE Room:258 For Part 3 see MS199 For Part 1 see MS148 For Part 1 see MS149 In recent years, a significant amount of Model reduction is an indispensable tool for Efficient, scalable, and reliable algorithms effort has been directed to solving kinetic simulation-based science, in problem tasks for the solution of algebraic equations equations. Generally, kinetic equations where multiple simulation requests or real- are crucial for the success of large-scale have posed a challenge due to the large time simulation response by fast approximate simulations. This minisymposium focuses phase space associated with the equations, models are desired. This minisymposium on new developments in FASTMath solver however algorithmic advances and addresses the particular challenges of algorithms and software, which include advances in computer hardware have made model reduction for optimization and iterative and direct linear solution methods, these simulations more tractable. In this optimal control, i.e. scenarios such as shape nonlinear solvers, and eigensolvers, and minisymposium, we consider hybrid and optimization, parameter optimization, multi- their use in applications. We will describe multilevel approaches to solving kinetic objective optimization, optimal control, efforts to increase the efficiency of equations. feedback control or other PDE- constrained algorithms and software, extensions of their Organizer: Jeffrey A. Willert optimization problems. Such problems are usability to next generation computers, Los Alamos National Laboratory, USA relevant to many applications in science and including heterogeneous architectures, engineering, such as fluid mechanics, solid mesh solver interactions as well as the Organizer: Cory Hauck mechanics, geophysics, electro-magnetics impact of FASTMath solvers on large-scale Oak Ridge National Laboratory, USA and acoustics. multiphysics applications. Organizer: Ryan G. McClarren Organizer: Andrea Manzoni Organizer: Ulrike M. Yang Texas A&M University, USA École Polytechnique Fédérale de Lausanne, Lawrence Livermore National Laboratory, Organizer: Martin Frank Switzerland USA RWTH - Aachen University of Technology, Organizer: Bernard Haasdonk 1:30-1:50 FASTMath Unstructured Germany University of Stuttgart, Germany Mesh (MOAB) Solver (PETSc) Interactions Organizer: Jingmei Qiu 1:30-1:50 Reduced Order Models Vijay Mahadevan, Iulian Grindeanu, University of Houston, USA for Nonlinear PDE-Constrained and Barry F. Smith, Argonne National Optimization Problems in Fluid 1:30-1:50 A Deterministic-Particle Laboratory, USA Transport Solver for Scale-Bridging Dynamics Simulation of Thermal Radiative Federico Negri, Andrea Manzoni, and Alfio 1:55-2:15 Application of Algebraic Transfer Quarteroni, École Polytechnique Fédérale Multigrid (PETSc) for Block Structured Adaptive Mesh Refinement Hyeongkae Park, Los Alamos National de Lausanne, Switzerland Applications (Chombo) Laboratory, USA 1:55-2:15 Application of Discrete Mark Adams, Lawrence Berkeley National Empirical Interpolation Method 1:55-2:15 Practical Numerical Laboratory, USA Methods for Solving the Boltzmann to Reduced Order Modeling of Transport Equation in Nuclear Reactor Nonlinear Parametric Systems 2:20-2:40 Scalable Adaptive ImEx Analysis Harbir Antil, George Mason University, Integration with ARKode and HYPRE Rodolfo Ferrer, Studsvik Scandpower, Inc., USA Daniel R. Reynolds, Southern Methodist University, USA USA 2:20-2:40 Reduced Basis Method for 2:20-2:40 A Hierarchy of Hybrid Hamilton-Jacobi-Bellman Equations 2:45-3:05 Solvers and Error Control for Numerical Methods for Multi-Scale Sebastian Steck and Karsten Urban, Atmospheric Column Physics Kinetic Equations University of Ulm, Germany Jed Brown, Argonne National Laboratory, USA and University of Colorado Boulder, Thomas Rey, University of Lille, France; 2:45-3:05 HJB-POD Feedback Control USA Francis Filbet, University of Lyon 1, for Advection-Diffusion Equations France Alessandro Alla and Michael Hinze, 2:45-3:05 On a New Class of Semi- University of Hamburg, Germany Lagrangian Schemes for Kinetic Equations Giacomo Dimarco, Università degli Studi di Ferrara, Italy 2015 SIAM Conference on Computational Science and Engineering 109

Monday, March 16 Monday, March 16 2:20-2:40 ScalFMM: A Generic Parallel Fast Multipole Library MS176 MS177 Pierre Blanchard, Berenger Bramas, and Olivier Coulaud, INRIA, France; Eric F. High-Order Methods Software Components for Darve, Stanford University, USA; Laurent for Computational Fluid Integral Equation Methods - Dupuy, CEA Saclay, France; Arnaud Dynamics - Part IV of IV Part II of IV Etcheverry, INRIA, France; Guillaume Sylvand, Airbus Operation S.A.S., France 1:30 PM-3:10 PM 1:30 PM-3:10 PM 2:45-3:05 PVFMM: A Parallel Fast Room:259 Room:260 A Multipole Method for Volume Potentials For Part 3 see MS150 For Part 1 see MS151 Dhairya Malhotra and George Biros, Novel contributions in the field of high- For Part 3 see MS203 order numerical methods for computational Due to recent advances in the underlying University of Texas at Austin, USA fluid dynamics. Presentations will explore technology, integral equations have become new high-order methods, benchmarking highly competitive in attacking the most of existing schemes, and applications to challenging of elliptic, globally-coupled turbulent flow problems. PDE problems. However, compared to a Organizer: Brian C. Vermeire standard off-the-shelf finite element methods, Imperial College London, United Kingdom a larger amount of machinery is involved, including fast algorithms, preconditioners, Organizer: Antony Jameson and singular quadrature methods. To make Stanford University, USA this theoretically attractive family of methods Organizer: Peter E. Vincent practically usable, many of these components need to be readily available in software Imperial College London, United Kingdom form. This minisymposium seeks to bring 1:30-1:50 Active Fluxes; A New High- together practitioners and researchers with the Order Paradigm goal of encouraging exchange of ideas and Philip L. Roe, University of Michigan, USA discovering opportunities for collaboration in 1:55-2:15 Superconvergent HDG this direction. Methods with Symmetric Stress Organizer: Timo Betcke Approximations for Stokes Flow (and University College London, United Kingdom Linear Elasticity) Bernardo Cockburn, University of Organizer: Andreas Kloeckner Minnesota, Minneapolis, USA; Guosheng University of Illinois, USA Fu, University of Minnesota, USA 1:30-1:50 ExaFMM -- a Testbed for 2:20-2:40 Riemann-Solver-Free Space Comparing Various Implementations Time Discontinuous Galerkin Method of the FMM for General Conservation Laws Rio Yokota and David E. Keyes, King Shuang Z. Tu, Jackson State University, USA Abdullah University of Science & Technology (KAUST), Saudi Arabia; 2:45-3:05 Aerodynamic Simulations Lorena A. Barba, George Washington Using a High-Order Discontinuous University, USA Galerkin Solver Michael Brazell and Dimitri Mavriplis, 1:55-2:15 Robust Implementation of Quadrature by Expansion (QBX) University of Wyoming, USA Manas Rachh, Courant Institute of Mathematical Sciences, New York University, USA; Leslie Greengard, Simons Foundation and Courant Institute of Mathematical Sciences, New York University, USA; Michael O’Neil, New York University, USA; Andreas Kloeckner, University of Illinois, USA

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Monday, March 16 Monday, March 16 Monday, March 16 MS178 MS179 MS180 Recent Advances in a Large-Scale Optimization Novel Spectral Posteriori Error Estimations and Applications Approximation: Theory, and Adaptive Methods - 1:30 PM-3:10 PM Algorithms and Applications Part II of II Room:151 AB - Part II of II 1:30 PM-3:10 PM We present recent advances in the solution 1:30 PM-3:10 PM Room:260 B and modeling of large-scale optimization Room:151 DE problem from a broad range of applications For Part 1 see MS152 including discrete design problems, For Part 1 see MS154 Self-adaptive numerical methods provide a compressed sensing approaches, and more Spectral and high-order methods traditionally powerful and automatic approach in scientific general methods for nonconvex optimization offer high-accuracy computational results computing. In particular, Adaptive Mesh with special emphasis on scalage in scientific computing. Yet, recent research Refinement (AMR) algorithms have been approaches. focuses on very different and compelling widely used in computational science and advantages for applications. These include engineering and have become a necessary tool Organizer: Sven Leyffer low dispersion for wave propagation in computer simulations of complex natural Argonne National Laboratory, USA problems, near-minimal degrees of freedom and engineering problems. The key ingredient 1:30-1:50 Augmented Lagrangian for oscillatory problems and great flexibility for success of self-adaptive numerical Methods for Large-Scale Nonlinear in dealing with complicated geometries. methods is a posteriori error estimates that are Optimization The goal of this minisymposium is to able to accurately locate sources of global and Sven Leyffer, Argonne National Laboratory, present an overview of such contemporary local error in the current approximation. Talks USA research topics. Methods of recent interest in this minisymposium will cover some recent include Fourier extensions or continuations, 1:55-2:15 Convexification Methods for advances in the development and analysis of radial basis functions and redundant Sequential Quadratic Programming both a posteriori estimators and (convergent) frame discretizations. Challenges involve adaptive schemes, as well as indicate Elizabeth Wong, University of California, obtaining fast transforms and well- directions of future research San Diego, USA conditioned discretizations, or overcoming ill-conditioning in methods involving Organizer: Zhiqiang Cai 2:20-2:40 Primal-Dual Newton Conjugate Gradients for Compressed redundancy. The focus ranges from theory to Purdue University, USA Sensing Problems with Coherent and applications. Organizer: Shun Zhang Redundant Dictionaries Organizer: Daan Huybrechs City University of Hong Kong, Hong Kong Kimon Fountoulakis, University of Katholieke Universiteit Leuven, Belgium Edinburgh, United Kingdom 1:30-1:50 A Posteriori Error Estimation 1:30-1:50 Gaussian-Localized in the Maximum Norm for Finite 2:45-3:05 Column Generation Polynomial Interpolation (Hermite Element Methods Techniques for Large Mixed-Integer Function Interpolation) on a Finite Alan Demlow, Texas A&M University, USA Programs Interval: Are Spectrally-Accurate Rbfs 1:55-2:15 A PDE Approach to Fu Lin, Argonne National Laboratory, USA Obsolete? Fractional Diffusion: a Posteriori Error John P. Boyd, University of Michigan, Ann Analysis Arbor, USA Abner J. Salgado, University of Tennessee, 1:55-2:15 A Windowed Fourier USA Method for Computations on the 2:20-2:40 Robust Residual-Based a Sphere Posteriori Error Estimation for Interface Rodrigo B. Platte, Arizona State University, Problems: Nonconforming Elements USA Cuiyu He and Zhiqiang Cai, Purdue 2:20-2:40 A Fast and Well- University, USA; Shun Zhang, City Conditioned Spectral Method University of Hong Kong, Hong Kong Alex Townsend, University of Oxford, 2:45-3:05 Robust a Priori and a United Kingdom Posteriori Error Estimates for Diffusion 2:45-3:05 Automatic Multivariate Problems with Discontinuous Approximation Coefficients Tobin Driscoll, University of Delaware, USA Shun Zhang, City University of Hong Kong, Hong Kong 2015 SIAM Conference on Computational Science and Engineering 111

Monday, March 16 Monday, March 16 Multiple Solutions in Curved-Pipe Flow MS181 Harsh Ranjan, Indian Institute of Poster Blitz Technology Guwahati, India Large Scale Computing in 3:10 PM-4:30 PM Cooperation and Efficiency in Sperm the Geosciences - Room:355 Motility Patterns Part II of II Owen Richfield, Paul Cripe, and Julie 1:30 PM-3:10 PM Simons, Tulane University, USA Efficient Simulation of Fluid-Structure Room:151 G Monday Poster Interactions Modeled by Regularized For Part 1 see MS155 Stokes Formulation Using Kernel- Advances in scientific computing (new Session & Independent Fast Multipole Method algorithms, open-source software, high Minghao W. Rostami and Sarah D. Olson, performance computing) have made it Reception Worcester Polytechnic Institute, USA possible to solve larger and larger problems. Scalable Parallel Solvers for Highly These advances are especially advantageous PP9 Heterogeneous Nonlinear Stokes Flow in the geosciences, where typical problems Computational Fluid Discretized with Adaptive High-Order are time-dependent and three-dimensional Finite Element with little or no symmetry and with Dynamics Johann Rudi and Toby Isaac, University important dynamics at multiple scales. 4:30 PM-6:30 PM Geoscientists are increasingly relying on of Texas at Austin, USA; Georg Stadler, cutting-edge software and algorithms to Room:255 Courant Institute of Mathematical Sciences, New York University, USA; advance the understanding of planet Earth. A Synchronized Co-Volume Scheme This minisymposium brings together Michael Gurnis, California Institute for the Large-Scale Shallow Water of Technology, USA; Omar Ghattas, geophysicists, mathematicians, and computer Equations University of Texas at Austin, USA scientists to discuss the latest developments Qingshan Chen, Clemson University, USA at the intersection of these fields. Discrete Adjoint Openfoam and Physics-Based Preconditioning Applications Organizer: Sander Rhebergen and Dual Timestepping for Stiff Arindam Sen, Markus Towara, and Uwe University of Oxford, United Kingdom Combustion Problems with Detailed Naumann, RWTH Aachen University, Chemical Mechanisms Organizer: Andrew J. Wathen Germany University of Oxford, United Kingdom Michael A. Hansen, University of Utah, USA Strategy for Efficiently Simulating Organizer: Richard F. Katz Rods with Bend and Twist in a Reactive Flows with Large Detailed Brinkman Fluid University of Oxford, United Kingdom Chemical Kinetics Nguyenho Ho and Sarah D. Olson, Worcester Hiroshi Terashima, University of Tokyo, 1:30-1:50 Multi-Scale Modelling of Polytechnic Institute, USA Granular Avalanches Japan; Youhi Morii, Japan Aerospace Anthony R. Thornton, University of Twente, Discrete Exterior Calculus Solution of Exploration Agency, Japan; Mitsuo Koshi, Netherlands Incompressible Flows Yokohama National University, Japan Mamdouh S. Mohamed and Sudantha Improving the Method of Regularized 1:55-2:15 Scalable Nonlinear Solvers Balage, King Abdullah University of for Magma Dynamics Stokeslets Science & Technology (KAUST), Saudi Terese Thompson, Karin Leiderman, and Matthew G. Knepley, University of Chicago, Arabia; Anil Hirani, University of Illinois USA; Richard F. Katz, University of Hoang-Ngan Nguyen, University of at Urbana-Champaign, USA; Ravi California, Merced, USA Oxford, United Kingdom Samtaney, King Abdullah University of 2:20-2:40 A Generic Nonlinear Solver Science & Technology (KAUST), Saudi An Exact and Consistent Adjoint for Geophysical Inversions Arabia Method for High-Fidelity Unsteady Compressible Flow Simulations Michele De Stefano, Federico Golfré Adaptive Wavelet Simulation for Ramanathan Vishnampet, Daniel J. Bodony, Andreasi, and Alberto Secchi, Weakly Compressible Flow Bounded and Jonathan B. Freund, University of Schlumberger Geosolutions, Italy by Solid Walls of Arbitrary Shape Illinois at Urbana-Champaign, USA 2:45-3:05 Recent Advances in Naoya Okamoto, Nagoya University, Japan; Numerical Modelling of Thermo- Margarete Domingues, Instituto Nacional Periodic Stokes Flow in 2 Dimensional Chemically Coupled Two-Phase Flow de Pesquisa Espaciais, Brazil; Katsunori Space Tobias Keller, University of Oxford, United Yoshimatsu, Nagoya University, Japan; Lin Zhao, Dartmouth College, USA; Alex H. Kingdom Kai Schneider, Aix-Marseille Université, Barnett, Dartmouth College and Simons France Foundation, USA

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Monday, March 16 Domain Method Monday, March 16 Yoshiharu Ohi, RIKEN, Japan; Yoshihisa PP10 Fujita, Nagoya University, Japan; Taku PP11 Itoh and Soichiro Ikuno, Tokyo University Numerical PDEs of Technology, Japan Linear Algebra and Data 4:30 PM-6:30 PM Asymptotics of High-Frequency Analysis Scattering Problems Room:255 4:30 PM-6:30 PM Peter Opsomer and Daan Huybrechs, Etd Spectral Deferred Correction Katholieke Universiteit Leuven, Belgium Room:255 Methods Using Non-Authoritative Accurate Derivative Computation for Tommaso Buvoli, University of Washington, Crowdsourced Data to Augment Finite Element Codes USA Remote Sensing Data for the Lee F. Ricketson, Courant Institute of Fukushima Diachii Nuclear Incident Reducing the Impact of the Cfl Mathematical Sciences, New York Mark Coletti and Guido Cervone, Condition for Dispersive Wave University, USA; Antoine Cerfon, New Pennsylvania State University, USA; Propagation Problems York University, USA; Manas Rachh, Rebecca Goolsby, Office of Naval Allan P. Engsig-Karup, Technical University Courant Institute of Mathematical Research, USA of Denmark, Denmark; Claes Eskilsson, Sciences, New York University, USA Chalmers University of Technology, The Sparse Grid Combination Comparison of Weak Galerkin Finite Sweden Technique for Solving Eigenvalue Element Method with Dgfem and Problems Spectre: An Adaptive, Parallel Mfem Christoph Kowitz, Technische Universität Discontinuous Galerkin Based Code Farrah Sadre-Marandi, Colorado State München, Germany; Markus Hegland, for Relativistic Astrophysics University, USA Scott Field and Lawrence Kidder, Cornell Australian National University, Canberra, University, USA; Jonas Lippuner and A Weighted Sequential Splitting Australia; Hans-Joachim Bungartz, Mark Scheel, California Institute of Method for the 3D Maxwell’s Technische Universität München, Equations Technology, USA; Saul Teukolsky, Germany Puttha Sakkaplangkul, Oregon State Cornell University, USA A Tangential Interpolation Framework University, USA Explicit Strong Strong Stability for MIMO Eigensystem Realization Preserving Multi Step Runge-Kutta A Numerical Solution to Boundary Algorithm Methods Value Problem and Volterra Integral Boris Kramer and Serkan Gugercin, Virginia Equations ( Linear and NonLinear) Zachary J. Grant, University of Tech, USA Hamid Semiyari, James Madison University, Massachusetts, Dartmouth, USA Multi-Set Data Analysis and USA Robust Residual-Based A Posteriori Simultaneous Matrix Block Error Estimate for Interface Problems: Adaptive Multigrid Methods for Diagonalization: Models and Nonconforming Linear Elements An Integrated Structural Health Algorithms Monitoring (SHM) Systems for Cuiyu He and Zhiqiang Cai, Purdue Dana Lahat and Christian Jutten, Gipsa-Lab, Composite Material with Fluid- University, USA; Shun Zhang, City France Structure Interaction (FSI) Effect University of Hong Kong, Hong Kong Overcoming the Gibbs Phenomenon: Bhuiyan Shameem M. Ebna Hai and Markus Fast Fourier Extension Monolithic Multi-Time-Step Coupling Bause, Helmut-Schmidt-Universitaet Roel Matthysen, Katholieke Universiteit Methods for First and Second-Order Hamburg, Germany Transient Systems Leuven, Belgium Asymptotically Compatible Schemes Saeid Karimi and Kalyana Nakshatrala, Big Graph Analytics of Human for Robust Discretization of Nonlocal University of Houston, USA Connectome Networks Models Jürgen Ommen, Chih Lai, and Yulin Yang, Total Order Function Space Spectral Qiang Du and Xiaochuan Tian, Columbia University of St. Thomas, USA Collocation Methods Using the Padua University, USA Points Componentwise Sensitivity of Matrix An Adaptive Multiscale Method for Scott Moe, University of Washington, USA Functions and Applications Numerical Homogenization Samuel Relton, University of Manchester, Numerical Investigation of Influence Jack Urombo, Harare Institute of United Kingdom of Node Alignment on Stable Technology, Zimbabwe Calculation for Meshless Time

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Inducing Approximately Optimal Monday, March 16 Monday, March 16 Flow Via Truthful Mediators Ryan M. Rogers and Aaron Roth, University PP12 PP13 of Pennsylvania, USA; Jonathan Ullman, Columbia University, USA; Steven Wu, Biomedical Applications Statistical Methods and University of Pennsylvania, USA 4:30 PM-6:30 PM Uncertainty Quantification Security in Data Mining Through Room:255 4:30 PM-6:30 PM Cloud Computing Using Expert System The Modified Bidomain Model with Room:255 Ana Sadeghitohidi and Azadeh Roozbehi, Periodic Diffusive Inclusions Decomposition-Based Uncertainty Azad Tehran University, Iran Andjela Davidovic, INRIA Bordeaux Sud- Quantification with Application to Ouest, France; Yves Coudiere, Université Environmental Impacts of Aviation Big Data Analytics Application in Bordeaux I, France; Clair Poignard, INRIA Genomics Data Processing Sergio Amaral, Massachusetts Institute of Bordeaux Sud-Ouest, France Technology, USA S Srinivasan, Hector Miranda, Daniel Vrinceanu, and Terence Vaughn, Texas Simulation-Based Solute Transport in The Combined Block by Block - Southern University, USA Kidney Cells Monte Carlo Methods for Numerical Monica Nadal-Quiros and Aniel Nieves- Treatment of the Mixed Nonlinear Generalized Low Rank Models Gonzalez, University of Puerto Rico, Stochastic Integral Equation Madeleine R. Udell, Corinne Horn, Reza Puerto Rico; Leon Moore, State University Abdallah A. Badr, University of Business Zadeh, and Stephen Boyd, Stanford of New York Health Science Center and Technology, Jeddah, Saudi Arabia University, USA at Brooklyn, USA; Mariano Marcano, Computational Investigation of A Structured Cholesky Factorization University of Puerto Rico, Puerto Rico Quasi-Random Sequences for Error for Fock Matrix Construction Magnetic Nanoparticle Stochastic Estimation Joseph Vokt and Edmond Chow, Georgia Dynamics for Biomedical Applications Hongmei Chi, Florida A & M University, Institute of Technology, USA Daniel B. Reeves and John Weaver, USA Parallel Bayesian Global Dartmouth College, USA Optimal Source Encoding in Medium Optimization, With Application To An Adaptive Markov Chain Monte Parameter Reconstruction Problems Metrics Optimization at Yelp Carlo Method Applied to Simulation of Benjamin Crestel and Omar Ghattas, Jialei Wang and Peter I. Frazier, Cornell a Tumor Growth Model University of Texas at Austin, USA; Georg University, USA; Scott Clark and Eric Qing Wang and Zhijun Wang, Shepherd Stadler, Courant Institute of Mathematical Liu, Yelp Inc., USA University, USA; David Klinke, West Sciences, New York University, USA Virginia University, USA Randomized Likelihood Method: “Allostery”: A Python Package for A Scalable Approach to Big Data Network Analyses of Biomolecular in Large-Scale Pde-Constrained Simulations Bayesian Inverse Problems Yuhang Wang and Emad Tajkhorshid, Aaron Myers, Tan Bui-Thanh, and Ellen Le, University of Illinois at Urbana- University of Texas at Austin, USA Champaign, USA MUQ (MIT Uncertainty Quantification): Numerical Simulation of a Tumor Cell Flexible Software for Connecting Population Growth Dynamics Model Algorithms and Applications Using Genetic Algorithm Matthew Parno, Patrick R. Conrad, Zhijun Wang and Qing Wang, Shepherd Andrew Davis, and Youssef M. Marzouk, University, USA Massachusetts Institute of Technology, Numerical Methods for Protein USA Adsorption in Porous Membranes A Stochastic Dynamic Programming Anastasia B. Wilson, Clemson University, Method for Controlling a Combined USA Hydro/Wind Power Producer Modeling Core Body Temperature Kyle Perline, Cornell University, USA during Exercise Yeonjoo Yoo, Indiana University - Purdue University Indianapolis, USA Ensemble Kalman Filters for Dynamic Dipole Estimation from Magnetoencephalography Lijun Yu, Daniela Calvetti, and Erkki Somersalo, Case Western Reserve University, USA continued on next page 114 2015 SIAM Conference on Computational Science and Engineering

Monday, March 16 Optimization of Modeled Land Monday, March 16 Surface Fluxes by Bayesian PP13 Parameter Calibration PP14 Tony E. Wong, David Noone, and William Statistical Methods and Kleiber, University of Colorado Boulder, CSE Methods Uncertainty Quantification USA 4:30 PM-6:30 PM 4:30 PM-6:30 PM Monte Carlo Sampling of the Room:255 Aggregation of Lattice Biopolymers in continued Membrane Visualising Protein Sequence Yuanwei Xu and Mark Rodger, University of Alignment Warwick, United Kingdom Shaimaa M. Aljuhani, Al-Imam Muhammad bin Saud University, Saudi Arabia; Prof. Efficient Error Estimation for Elliptic Teresa Attwood, University of Manchester, PDEs with Random Data United Kingdom; Dr. Tony Shardlow, Catherine Powell, University of Manchester, University of Bath, United Kingdom United Kingdom; Alex Bespalov, Reconstructing Physically Realistic University of Birmingham, United Flow Fields from Sparse Experimental Kingdom; David Silvester, University of Data Manchester, United Kingdom Iliass Azijli, Richard Dwight, Jan Schneiders, Inference of Constitutive Parameters and Hester Bijl, Delft University of in a Nonlinear Stokes Mantle Flow Technology, Netherlands Model Parallel-in-Time Integration with Vishagan Ratnaswamy, California Institute Pfasst++ of Technology, USA; Georg Stadler, Torbjörn Klatt and Robert Speck, Jülich Courant Institute of Mathematical Supercomputing Centre, Germany; Sciences, New York University, USA; Mathias Winkel and Daniel Ruprecht, Michael Gurnis, California Institute Universita’ della Svizzera Italiana, Italy; of Technology, USA; Omar Ghattas, Matthew Emmett, Lawrence Berkeley University of Texas at Austin, USA National Laboratory, USA Uncertainty Quantification for An Optimization-Based Approach Thermally Driven Flow Toward Elastoplasticity: Introducing a Sebastian Ullmann and Lang Jens, TU Projected Newton Algorithm Darmstadt, Germany Zahra S. Lotfian and Mettupalayam Computational and Statistical Sivaselvan, State University of New York Tradeoffs: a Framework at Buffalo, USA Alexander Volfovsky, Edoardo Airoldi, and Redesigning Laser-Plasma Daniel Sussman, Harvard University, USA Simulations to Optimize the Use of Efficiency of the Girsanov Limited Memory Bandwidth Transformation Approach for Eileen R. Martin, Stanford University, Parametric Sensitivity Analysis of USA; Steve Langer, Lawrence Livermore Stochastic Chemical Kinetics National Laboratory, USA Ting Wang and Muruhan Rathinam, Parallel Numerics for Partitioned University of Maryland, Baltimore Multiphysics Coupling County, USA Miriam Mehl, Universität Stuttgart, Convergence of the Robbins-Monro Germany; Benjamin Uekermann, Algorithm in Infinite Dimensional Technische Universität München, Hilbert Spaces Germany; Florian Lindner, Universität Daniel Watkins and Gideon Simpson, Drexel Stuttgart, Germany University, USA Applied Math and Cs R&D on Doe Utilizing Adjoint-Based Techniques Leadership Computing Facilities to Effectively Perform Uq on Paul C. Messina, Argonne National Discontinuous Responses Laboratory, USA Tim Wildey, Eric C. Cyr, and John Shadid, Sandia National Laboratories, USA

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Simple Yet Fast Integration Method Analyzing and Classifying “Two- Monday, March 16 Using Qss for Stiff Chemical Kinetic Cycles” of Trigonometric Functions in Odes Newton’s Method PP15 Youhi Morii, Japan Aerospace Exploration Morgan Rupard and Jennifer Switkes, Agency, Japan; Hiroshi Terashima, California Polytechnic State University, CSE Applications University of Tokyo, Japan; Mitsuo Koshi, Pomona, USA 4:30 PM-6:30 PM Yokohama National University, Japan; Orbital Localization in Madness Taro Shimizu and Eiji Shima, Japan Room:255 Bryan E. Sundahl, Stony Brook University, Aerospace Exploration Agency, Japan USA; Robert Harrison, Brookhaven Using Radar Imagery Data to Invert PtychoLib: Parallel Ptychographic National Laboratory, USA; Scott for Maritime Environments Reconstruction Thornton, Stony Brook University, USA Vasileios Fountoulakis and Christopher J. Youssef Nashed, David Vine, and Tom Earls, Cornell University, USA Assessing Artifacts: Segmentation of Peterka, Argonne National Laboratory, Damaged Images Thermal Imaging of Sub-Pixel Cracks USA; Junjing Deng, Northwestern Nick Takaki, Carnegie Mellon University, Through Metal Plates University, USA; Rob Ross and Chris USA Andrew Loeb and Christopher Earls, Cornell Jacobsen, Argonne National Laboratory, University, USA USA Analysis of Anderson Acceleration for Coupled Neutronic and Thermal Numerical Simulation of Ni Grain Efficient Numerical Algorithm for Hydraulic Calculations in a Light Growth in a Thermal Gradient Virtual Design in Nanoplasmonics Water Reactor John A. Mitchell and Veena Tikare, Sandia Alexandra Ortan, University of Minnesota, Alexander R. Toth and C.T. Kelley, North National Laboratories, USA USA Carolina State University, USA; Stuart Supply Chain Disruptions Model-Reduction for Closed-Loop Slattery, Steven Hamilton, and Kevin Thomas Morrisey and Ravi Prasad, Infosys, Control of Unsteady Flows Using Clarno, Oak Ridge National Laboratory, USA Plasma Actuators USA; Roger Pawlowski, Sandia National Laura Pasquale, Paul Houston, and Pericle Laboratories, USA Computational and Experimental Zanchetta, University of Nottingham, Analysis of Dental Implants under The Rapid Optimization Library (rol) in United Kingdom Different Loading Conditions and Trilinos Locations Moving Pictures: Animating Still Bart G. Van Bloemen Waanders, Drew P. Emre Ozyilmaz, Eda Ozyilmaz, and Halil Images Kouri, and Denis Ridzal, Sandia National Aykul, Hitit University, Turkey; Mehmet Michael Pilosov, University of Colorado, Laboratories, USA Dalkiz, Mustafa Kemal University, Denver, USA Integrating Software Tools to Parallel Turkey; Ahmet Cini, Hitit University, Bridging Multiple Structural Scales Adaptive Simulations of Fusion Turkey with a Generalized Finite Element Plasma in Tokamaks Math Projects with Tracker Video Method Fan Zhang, Mark S. Shephard, and E. Analysis Julia A. Plews and C. Armando Duarte, Seegyoung Seol, Rensselaer Polytechnic Euguenia Peterson, Richard J. Daley University of Illinois at Urbana- Institute, USA College, USA Champaign, USA Investigation of Numerical A Parallelization Strategy for Large- Models for New High Temperature Scale Vibronic Coupling Calculations Superconductors Scott Rabidoux, Victor Eijkhout, and John Chad Sockwell, Florida State University, Stanton, University of Texas at Austin, USA USA Characterization of Ternary Eutectic Some Numerical Methods for Solidification Patterns from Phase- Modified Bessel Functions Field Simulations and Experimental Juri M. Rappoport, Russian Academy of Micrographs Sciences, Russia Philipp Steinmetz, Karlsruhe Institute of Oof: An Object-Oriented Finite- Technology, Germany; Johannes Hötzer, Element Solver for Materials Science Hochschule Karlsruhe Technik und Andrew Reid and Stephen Langer, National Wirtschaft, Germany; Marcus Jainta Institute of Standards and Technology, and Britta Nestler, Karlsruhe Institute of USA Technology, Germany; Yuksel Yabansu and Surya Kalidindi, Georgia Institute of Technology, USA

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Monday, March 16 Monday, March 16 Monday, March 16 PP15 PP201 PP202 CSE Applications Minisymposterium -- Minisymposterium -- 4:30 PM-6:30 PM A Mathematical Advanced Discretizations continued Environment for Quantifying for Complex Applications Uncertainty: Integrated and 4:30 PM-6:30 PM Optimized at the eXtreme Room:255 scale (EQUINOX) Numerical Realization of An Open Pit Organizers: Mine Planning Problem 4:30 PM-6:30 PM Gianmarco Manzini, Los Alamos National Nikolai Strogies and Andreas Griewank, Room:255 Laboratory, USA Humboldt University Berlin, Germany Organizer: Clayton G. Webster, Oak Ridge Konstantin Lipnikov, Los Alamos National Multidisciplinary Development of An Laboratory, USA Autonomous Underwater Vehicle: National Laboratory, USA Cooperative Fleet for Surveillance Forward Backward Doubly Compatible Discrete Operator Mission Stochastic Differential Equations and Schemes for Advection-Diffusion Ci Wen, Stacey Joseph-Ellison, Junzhen Applications to The Optimal Filtering Equations Shao, Qi Zhou, Jonathan Jaworski, and Problem Pierre Cantin and Alexandre Ern, Université Zakaria Daud, Embry-Riddle Aeronautical Feng Bao, Oak Ridge National Laboratory, Paris-Est, France; Jérome Bonelle, EDF, University, USA USA; Yanzhao Cao, Auburn University, France USA; Clayton G. Webster and Guannan Towards Real-Time Blob-Filaments Upwinding in the Mimetic Finite Zhang, Oak Ridge National Laboratory, Detection in Fusion Plasma Difference Method for Richards’ USA Equation Lingfei Wu, College of William & Mary, USA; Kesheng Wu and Alex Sim, Embedded Sampling-Based Konstantin Lipnikov, Los Alamos National Lawrence Berkeley National Laboratory, Uncertainty Quantification Laboratory, USA USA; Andreas Stathopoulos, College of Approaches for Emerging Computer The Virtual Element Method William & Mary, USA Architectures Gianmarco Manzini, Los Alamos National Eric Phipps, Marta D’Elia, H. Carter Laboratory, USA Edwards, Jonathan J. Hu, and Siva Rajamanickam, Sandia National Virtual Element Methods for Convection-Diffusion Problems Laboratories, USA Oliver Sutton and Andrea Cangiani, A Unified Framework for Uncertainty University of Leicester, United Kingdom; and Sensitivity Analysis of Gianmarco Manzini, Los Alamos National Computational Models with Many Laboratory, USA; Alessandro Russo, Input Parameters Milano University, Italy Li Gu and C. F. Jeff Wu, Georgia Institute of Technology, USA Florida State University Efforts Withing the Equinox Project Max Gunzburger, Florida State University, USA A Mathematical Environment for Quantifying Uncertainty: Integrated and Optimized at the EXtreme Scale (equinox) Clayton G. Webster, Oak Ridge National Laboratory, USA Hierarchical Acceleration of Multilevel Methods for Pdes with Random Input Data Guannan Zhang, Oak Ridge National Laboratory, USA 2015 SIAM Conference on Computational Science and Engineering 117

Monday, March 16 Monday, March 16 Composability in Petsc Matthew G. Knepley, University of Chicago, PP203 PP204 USA; Jed Brown, Argonne National Laboratory, USA and University of Minisymposterium -- Minisymposterium -- Colorado Boulder, USA Advances in Numerical CSE Software Fenics Methods for Interface 4:30 PM-6:30 PM Anders Logg, Chalmers University of Technology, Sweden Problems Room:255 4:30 PM-6:30 PM Sigma: Scalable Interface for Organizers: Anders Logg, Chalmers Geometry and Mesh Based Room:255 University of Technology, Sweden Applications Organizers; Chebfun Vijay Mahadevan, Iulian Grindeanu, Rajeev Pavel Bochev, Sandia National Laboratories, Anthony Austin, University of Oxford, Jain, Navamita Ray, and Danqing Wu, USA United Kingdom Argonne National Laboratory, USA; Paul Wilson, University of Wisconsin, Feel++: A Versatile High Performance Christopher Siefert, Sandia National Madison, USA Finite Element Embedded Library into Laboratories, USA C++ Dune - The Distributed and Unified Optimal Control for Mass Vincent Chabannes, Université de Grenoble Numerics Environment Conservative Level Set Methods I, France Steffen Müthing, Heidelberg University, Christopher Basting and Dmitri Kuzmin, Germany Technische Universität Dortmund, Dolfin-Adjoint Germany Simon W. Funke and Marie E. Rognes, Elemental Simula Research Laboratory, Norway; Jack L. Poulson, Stanford University, USA A New Partitioned Algorithm for Patrick E. Farrell, University of Oxford, Explicit Elastodynamics Based on Jupyter Widgets: Interactive United Kingdom; David Ham, Imperial Computing Through the Browser in Variational Flux Recovery College London, United Kingdom Pavel Bochev and Paul Kuberry, Sandia Any Programming Language National Laboratories, USA Building Performance Transportable Min Ragan-Kelley and Fernando Perez, Codes for Extreme Scale University of California, Berkeley, USA Analysis of a Fluid-Structure William D. Gropp, University of Illinois at Camellia: A Software Framework Interaction Problem Decoupled by Urbana-Champaign, USA Optimal Control for Discontinuous Petrov-Galerkin Paul A. Kuberry and Hyesuk Lee, Clemson Firedrake: Automating Finite Element Methods University, USA by Composing Abstractions Nathan Roberts, Argonne National David Ham, Florian Rathgeber, Lawrence Laboratory, USA Feature-Preserving Finite Element Mitchell, Michael Lange, Andrew McRae, ViennaCL - Fast Linear Algebra for Transport Across Interfaces: Part 1, Gheorghe-Teodor Bercea, Fabio Luporini, Optimization-Based Transport Multi and Many-Core Architectures and Paul Kelly, Imperial College London, Karl Rupp, Philippe Tillet, Toby St Clere Denis Ridzal, Kara Peterson, and Pavel United Kingdom Bochev, Sandia National Laboratories, Smithe, Namik Karovic, Josef Weinbub, USA The DEAL.II Finite Element Library and Florian Rudolf, Vienna University of Timo Heister, Clemson University, USA; Technology, Austria Feature-Preserving Finite Element Wolfgang Bangerth, Texas A&M Transport Across Interfaces: Part 2, University, USA; Guido Kanschat and Direct Flux Recovery Matthias Maier, Universität Heidelberg, Kara Peterson, Pavel Bochev, and Denis Germany Ridzal, Sandia National Laboratories, USA An Overview of the Trilinos Project Michael Heroux, Sandia National Higher Order Finite Element Methods Laboratories, USA for Interface Problems Manuel A. Sanchez-Uribe, Brown University, FEniCS High Performance Computing USA with Applications in Aerodynamics, Environmental Science and Extended and Conformal Biomedicine Decomposition Finite Elements for 3D Johan Hoffman, Royal Institute of Compatible Discretizations Technology, Stockholm, Sweden Christopher Siefert, Richard Kramer, Pavel Bochev, and Thomas Voth, Sandia EMatter: A Materials Simulation National Laboratories, USA Framework As a Service Dmitry A. Karpeyev, University of Chicago, USA

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Monday, March 16 Monday, March 16 Monday, March 16 PP205 PP206 PP207 Minisymposterium -- Minisymposterium -- Minisymposterium -- Mixed High Performance Linear Massively Parallel Finite Element Methods Algebra Operations on Multiphysics Simulations 4:30 PM-6:30 PM GPUs Within the Uintah Room:255 Computational Framework 4:30 PM-6:30 PM Organizer: Douglas N. Arnold, University of Room:255 4:30 PM-6:30 PM Minnesota, USA Organizer: Luke Olson, University of Illinois Room:255 The Periodic Table of the Finite Elements at Urbana-Champaign, USA Organizer: James C. Sutherland, University Douglas N. Arnold, University of Minnesota, of Utah, USA Radical Optimization Techniques for USA; Anders Logg, Chalmers University Asynchronous Iterative Algorithms on Parallel Petascale Modeling of of Technology, Sweden Gpus Transportation Accidents Involving Convolution-Translation and Bounded Hartwig Anzt, University of Tennessee, High Explosives Cochain Projections for the Elasticity USA; Edmond Chow, Georgia Institute Jacqueline Beckvermit, Andrew Bezdjian, Complex of Technology, USA; Jack J. Dongarra, Todd Harman, John A. Schmidt, and Gerard Awanou, Northern Illinois University of Tennessee, Knoxville, USA Martin Berzins, University of Utah, USA; University, USA Experiences in Autotuning Linear Chuck Wight, Weber State University, Algebra Operations for Energy USA What is a Good Linear Finite Element... On a Generic Polytope? Minimization on Gpus Using Uintah:mpmice for High Hartwig Anzt and Blake Haugen, University Resolution Urban Flow Studies Andrew Gillette, University of Arizona, USA; Alexander Rand, CD-adapco, USA of Tennessee, USA; Jakub Kurzak and Arash Nemati Hayati, Rob Stoll, Todd Jack J. Dongarra, University of Tennessee, Harman, and Eric Pardyjak, University of Superconvergence of Nonconforming Knoxville, USA Utah, USA Fems Based Mixed Fems Jun Hu, Peking University, China CUSP: A Parallel Sparse Matrix Radiation Modeling Using Reverse Package for Gpus Monte Carlo Ray Tracing Within the Stokes Elements on Cubic Steven Dalton and Luke Olson, University of Uintah Framework Meshes Yielding Divergence-Free Illinois at Urbana-Champaign, USA Alan Humphrey, University of Utah, USA Approximations Michael J. Neilan and Duygu Sap, Sparse Matrix-Matrix Multiplication on Wasatch: A CPU/GPU-Ready High-Throughput Architectures Multiphysics Code Using a Domain University of Pittsburgh, USA Luke Olson and Steven Dalton, University of Specific Language Weak Galerkin Finite Element Illinois at Urbana-Champaign, USA Tony Saad, Abhishek Bagusetty, and James Methods C. Sutherland, University of Utah, USA Junping Wang, National Science Foundation, Applied Large Eddy Simulation: USA; Chunmei Wang, Georgia Institute of Validation and Uncertainty Technology, USA; Xiu Ye, University of Quantification of Lab and Pilot-Scale, Arkansas at Little Rock, USA Oxy-Coal Boiler Simulations Jeremy Thornock and Wu Yuxin, University of Utah, USA; Ben Isaac, University of Utah, USA & Université Libre de Bruxelles, Belgium; Sean Smith and Philip J. Smith, University of Utah, USA 2015 SIAM Conference on Computational Science and Engineering 119

Monday, March 16 Tuesday, March 17 Tuesday, March 17 PP208 MS182 Minisymposterium -- Newest Registration Featured Minisymposium: Bayesian Approaches to CSE Software 7:45 AM-5:00 PM Modeling Complex Systems 10:00 AM-11:40 AM Room:East Foyer 4:30 PM-6:30 PM Room:355 A Room:255 This featured minisymposium reflects Organizers: Alberto Giovanni Busetto, Announcements recent progress with tools and techniques for developing, adapting, using, and testing University of California, Santa Barbara, 8:10 AM-8:15 AM CSE software. The first talk addresses USA Room:355 an eco system of computational tools James Beck, California Institute of for increased efficiency and reliability of Technology, USA scientific workflows. The next talk presents a software framework in C++, MOOSE, which Approximate Active Bayesian IP7 Inference of Nonlinear Dynamical simplifies building advanced multiphysics Systems A Calculus for the models. Another talk explains how domain specific languages for PDEs in Python allow Alberto Giovanni Busetto, University of Optimal Quantification of automatic generation of adjoint models California, Santa Barbara, USA Uncertainties in C++ with high performance. Finally, Variational Reformulation of Bayesian 8:15 AM-9:00 AM the recent Julia language is presented, Inverse Problems which combines the expressiveness and Ilias Bilionis, Purdue University, USA; Room:355 convenience of MATLAB/Python with the Panagiotis Tsilifis, University of Southern Chair: Susan E. Minkoff, University of Texas speed of Fortran/C. California, USA; Nicholas Zabaras, at Dallas, USA Organizer: Hans Petter Cornell University, USA The past century has seen a steady increase Langtangen Bayesian Model Selection for in the need of estimating and predicting Simula Research Laboratory and University Exploring Mechanisms Contributing complex systems and making (possibly of Oslo, Norway to Differential Signaling critical) decisions with limited information. 10:00-10:20 Moose: An Open Source Pencho Yordanov and Joerg Stelling, ETH With this purpose, this talk will describe the Platform For Rapid Development of Zürich, Switzerland development of a form of calculus allowing Multiphysics Simulation Tools for the (computational) manipulation Derek R. Gaston, Cody Permann, David of infinite dimensional information Andrs, John Peterson, and Andrew structures and its application to the optimal Slaughter, Idaho National Laboratory, quantification of uncertainties in complex USA systems and the scientific computation of optimal statistical estimators/models. 10:25-10:45 Domain Specific Specific examples will be discussed to Languages and Automated Code illustrate how this form of calculus could Generation: High Expressiveness and also be used to facilitate/guide the process of High Performance scientific discovery. Patrick E. Farrell, University of Oxford, United Kingdom Houman Owhadi California Institute of Technology, USA 10:50-11:10 Julia - a Fast New Language for Technical Computing Stephan Karpinski, Massachusetts Institute of Technology, USA Prize Award Ceremony 11:15-11:35 Project Jupyter: a 9:00 AM-9:30 AM Language-Independent Architecture for Cse, from Interactive Computing Room:355 to Reproducible Publications Fernando Perez, University of California, Coffee Break Berkeley, USA 9:30 AM-10:00 AM Room:255 120 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 10:50-11:10 A Model and Variance Tuesday, March 17 Reduction Method for Computing MS183 Statistical Outputs of Stochastic MS184 Partial Differential Equations Challenges in Optimization Ferran Vidal-Codina, Cuong Nguyen, and First Principle Methods with Uncertainty and Noisy Jaime Peraire, Massachusetts Institute and Applications for Data of Technology, USA; Michael B. Giles, Computational Materials University of Oxford, United Kingdom 10:00 AM-11:40 AM Science and Chemistry - 11:15-11:35 Topology Optimization of Part I of III Room:355 D a Permanent-Magnet Synchronous Machine under Uncertainties In many practical applications of 10:00 AM-11:40 AM Roland Pulch, University of Greifswald, optimization, the objective function and Germany; Piotr Putek, Bergische Room:250 A constraints are not known precisely. This Universität Wuppertal, Germany For Part 2 see MS209 lack of knowledge may stem from noisy or First principle electronic structure inaccurate evaluations of the objective and calculations are among the most challenging constraints, or from uncertain parameters and computationally demanding science and in the underlying models. A probabilistic engineering problems. This minisymposium approach to the latter yields problems of aims at presenting and discussing new robust optimization, encompassing a variety numerical methods for achieving ever of operators and risk measures. Yet the two higher level of accuracy and efficiency cases are linked, in that evaluation of a in ground and excited density functional probabilistic risk measure is itself subject theory calculations, and their applications to inevitable and often significant numerical in computational materials science and errors. This minisymposium presents recent chemistry. We propose to bring together algorithmic developments for optimization, physicists, chemists and materials scientists aimed at efficient and reliable solutions of who are involved in improving the numerical problems with uncertainty. development of widely known quantum Organizer: Florian Augustin chemistry and solid-state physics application Massachusetts Institute of Technology, USA software packages, with mathematicians Organizer: Youssef M. Marzouk and computer scientists who are focusing on advancing the required state-of-the- Massachusetts Institute of Technology, USA art mathematical algorithms and parallel 10:00-10:20 Bayesian Global implementation. Optimization of Expensive Functions with Low-Dimensional Noise Organizer: Lin Lin Jing Xie, Cornell University, USA; University of California, Berkeley, USA Sethuraman Sankaran, HeartFlow, Inc, Organizer: Eric Polizzi USA; Abhay Ramachandra, University University of Massachusetts, Amherst, USA of California, San Diego, USA; Saleh Elmohamed, Cornell University, USA; Organizer: Chao Yang Alison Marsden, University of California, Lawrence Berkeley National Laboratory, San Diego, USA; Peter I. Frazier, Cornell USA University, USA 10:00-10:20 Accurate All-Electron 10:25-10:45 Modeling An Augmented Electronic Structure Theory for Large Lagrangian for Improved Blackbox Systems Constrained Optimization Volker Blum, Duke University, USA Robert Gramacy, University of Chicago, 10:25-10:45 Enabling Large-Scale USA; Genetha Gray, Sandia National Hybrid Density Functional Theory Laboratories, USA; Sebastien Le Digabel, Calculations École Polytechnique de Montréal, Robert A. DiStasio, Jr., Princeton University, Canada; Herbert Lee, University of USA California, Santa Cruz, USA; Pritam Ranjan, Acadia University, Canada; Garth Wells, University of Cambridge, United Kingdom; Stefan Wild, Argonne National Laboratory, USA

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10:50-11:10 Finite Elements for Large, Tuesday, March 17 10:50-11:10 Data and Uncertainties: Accurate Quantum Mechanical Representation of High-Dimensional Materials Calculations: from Classical MS185 Dependencies Using Adaptive Sparse to Enriched to Discontinuous Grids John Pask, Lawrence Livermore National High-dimensional Dirk Pfluger and Fabian Franzelin, University Laboratory, USA Approximation and of Stuttgart, Germany 11:15-11:35 Enabling Large Scale Integration: Analysis and 11:15-11:35 Numerical Solution of LAPW DFT Calculations by a Scalable Computation - Part V of V Elliptic Diffusion Problems on Random Iterative Eigensolver Domains Daniel Wortmann, Forschungszentrum 10:00 AM-11:40 AM Michael Peters and Helmut Harbrecht, Jülich, Germany; Edoardo A. Di Napoli, Room:250 B Universität Basel, Switzerland Jülich Supercomputing Centre, Germany; Mario Berljafa, University of Manchester, For Part 4 see MS159 United Kingdom This minisymposium focuses on the fundamental problem of how to accurately approximate solutions of both forward and inverse high-dimensional functions. Predicting the behavior of complex phenomena relies on constructing solutions in terms of high dimensional spaces, particularly in the case when the input data (coefficients, forcing terms, initial and boundary conditions, geometry) are affected by large amounts of uncertainty. The resulting explosion in computational effort is a symptom of the curse of dimensionality and this symposium aims at exploring breakthroughs in sparse sampling and representations, nonlinear and greedy approximations, compressed sensing, multilevel methods, and ”best-N-term” approximations. Organizer: Guannan Zhang Oak Ridge National Laboratory, USA Organizer: Albert Cohen Université Pierre et Marie Curie, France Organizer: Max Gunzburger Florida State University, USA Organizer: Clayton G. Webster Oak Ridge National Laboratory, USA 10:00-10:20 Solving Optimal Feedback Control Problems for Partial Differential Equations Using Adaptive Sparse Grids Jochen Garcke, University of Bonn, Germany; Axel Kroner, RICAM, Austrian Academy of Sciences, Austria 10:25-10:45 Dimension-Independent, Likelihood-Informed Mcmc Sampling Algorithms for Bayesian Inverse Problems Kody Law, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Tiangang Cui and Youssef M. Marzouk, Massachusetts Institute of Technology, USA

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Tuesday, March 17 10:50-11:10 Incorporating Error Tuesday, March 17 Detection and Recovery into MS186 Hierarchically Semi-Separable Matrix MS187 Operations Resilient, Extreme-scale Brian Austin, Alex Druinsky, Xiaoye Sherry Recent Advances in Model Numerical Algorithms - Li, Osni A. Marques, and Eric Roman, Reduction - Part I of V Part I of II Lawrence Berkeley National Laboratory, USA 10:00 AM-11:40 AM 10:00 AM-11:40 AM 11:15-11:35 Controlling Numerical Room:250 D Room:250 C Error in Particle-In-Cell Simulations of For Part 2 see MS211 Collisionless Dark Matter Model reduction has become an increasingly For Part 2 see MS210 Andrew Myers, Brian Van Straalen, and important tool to mitigate the computational Computer architectures are undergoing Colella Phillip, Lawrence Berkeley burden of modeling and simulation in time- fundamental changes that will require the National Laboratory, USA critical (e.g., model-predictive control) rethinking and invention of numerical and many query (e.g., Bayesian inversion) algorithms suitable for computing at applications. This minisymposium presents extreme scales (over 100 PFlops). Numerical recent advances that address the primary solver technologies are needed that favor challenges facing such methods, such as computation over data motion, that expose preserving intrinsic problem structure, much greater concurrency, and that are handling high-dimensional parameter spaces, resilient to increasing soft and hard faults. integration with existing simulation codes, This minisymposium will feature progress stability, optimization and uncertainty in the development of such algorithms quantification and control. by several projects funded by the DOE Resilient Extreme-Scale Solvers initiative. Organizer: Kevin T. Carlberg A breadth of topics will be addressed, Sandia National Laboratories, USA including algebraic multigrid, methods for Organizer: Gianluigi Rozza hyperbolic conservation laws, Particle-In- Cell algorithms, and stochastic methods for SISSA, International School for Advanced linear systems. Studies, Trieste, Italy Organizer: John Loffeld 10:00-10:20 Recent Advances in Reduced Order Modelling in Lawrence Livermore National Laboratory, Computational Fluid Dynamics within USA EU-MORNET COST Activities Organizer: Andrew Myers Gianluigi Rozza and Giuseppe Pitton, Lawrence Berkeley National Laboratory, SISSA, International School for Advanced USA Studies, Trieste, Italy; Annalisa Quaini, University of Houston, USA Organizer: Jeffrey A. Hittinger Lawrence Livermore National Laboratory, 10:25-10:45 A Minimum-residual USA Mixed Reduced Basis Method: Exact Residual Certification and 10:00-10:20 Attaining High Arithmetic Simultaneous Finite-element Intensity in Finite-volume Methods Reduced-basis Adaptive Refinement through High-order Quadratures Masayuki Yano, Massachusetts Institute of John Loffeld and Jeffrey A. Hittinger, Technology, USA Lawrence Livermore National Laboratory, USA 10:50-11:10 Reduced Basis Method for Uncertainty Quantification 10:25-10:45 Parallel Spectral Element- Problems: A Recent Update Based Agglomeration Algebraic Peng Chen, ETH Zürich, Switzerland; Multigrid for Porous Media Flow Gianluigi Rozza, SISSA, International Andrew T. Barker, Lawrence Livermore School for Advanced Studies, Trieste, Italy National Laboratory, USA; Delyan Kalchev, University of Colorado, USA; 11:15-11:35 Accelerating the Solution Panayot Vassilevski and Umberto E. Villa, of Inverse Problems Using Reduced- Lawrence Livermore National Laboratory, Order Models USA David Amsallem, Stanford University, USA

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Tuesday, March 17 Tuesday, March 17 10:50-11:10 Stochastic Collocation Methods Via L1 Minimization MS188 MS189 Tao Zhou, Chinese Academy of Sciences, China; Ling Guo, Shanghai Normal Advances in Time-stepping Sparse and Compressible University, China; Dongbin Xiu, Purdue Methods - Part III of V Representations: Theory, University, USA 10:00 AM-11:40 AM Algorithms and Applications 11:15-11:35 A Sparse Multiresolution - Part I of III Regression Framework for Uncertainty Room:250 E Quantification For Part 2 see MS162 10:00 AM-11:40 AM Daniele E. Schiavazzi, University of For Part 4 see MS212 Room:250 F California, San Diego, USA; Alireza Time-stepping methods are numerical Doostan, University of Colorado Boulder, methods for the time evolution of ODEs, For Part 2 see MS213 USA; Gianluca Iaccarino, Stanford By focusing effort on identifying dominant DAEs, and PDEs in the method-of-lines University, USA framework. Many applications require terms of a function representation one can specialized time-stepping methods in often accurately approximate the function order to enhance efficiency or capture from limited data. Sparsity detection particular theoretical properties such as also referred to as compressed sensing positivity, symplecticity, and strong-stability- and l1-minimization is one approach that preservation or practical properties such as is extremely effective at identifying the parallelization on emerging high-performance dominant terms of a function expansion. architectures, component (e.g., multirate or Recently there have been many advances local time-stepping) and physics (IMEX or in l1-minimization including strategies semi-implicit) splittings based on sub-system for sampling, preconditioning and high- properties, and reliable error estimation and dimensional basis selection that attempt to control. The talks in this minisymposium maximize the accuracy of recovered signals will describe recent novel developments in whilst minimizing the number of signal time-stepping methods and demonstrate their samples. This minisymposium presents benefits in practical applications. recent theoretical results, numerical methods and applications of sparse approximations, Organizer: Emil M. Constantinescu including but not limited to uncertainty Argonne National Laboratory, USA quantification (UQ) and sensitivity analysis Organizer: Michael Guenther (SA). Bergische Universität, Germany Organizer: John D. Jakeman Organizer: Adrian Sandu Sandia National Laboratories, USA Virginia Tech, USA Organizer: Khachik Sargsyan Organizer: Raymond J. Spiteri Sandia National Laboratories, USA University of Saskatchewan, Canada 10:00-10:20 Sparse Polynomial Chaos 10:00-10:20 A New Look at Global Expansions for Time-Dependent Error Estimation in Differential Problems Equations Bruno Sudret and Chu Mai, ETH Zürich, Emil M. Constantinescu, Argonne National Switzerland Laboratory, USA 10:25-10:45 Adaptive Compressive 10:25-10:45 Reliable Adaptive Time Sensing Method for Uncertainty Stepping for Systems of ODEs, DDEs Quantification and BVPs Xiu Yang, Pacific Northwest National Wayne Enright, University of Toronto, Laboratory, USA; Xiaoliang Wan, Canada Louisiana State University, USA; Huan Lei and Guang Lin, Pacific Northwest 10:50-11:10 High Order Semi-implicit National Laboratory, USA; George E. Schemes for Evolutionary Non Linear Karniadakis, Brown University, USA Partial Differential Equations and Applications Sebastiano Boscarino, University of Catania, Italy 11:15-11:35 On the Construction of Robust Additive Runge-Kutta Methods Inmaculada Higueras, Universidad Pública de Navarra, Spain continued in next column 124 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS190 MS191 MS192 The Use of Adjoints in Earth Numerical Methods The System Dynamics of System Modeling/Sciences for High-Dimensional Social and Health Processes 10:00 AM-11:40 AM Stochastic and Parametric using Quantitative Data Problems - Part I of V Sciences Methods Room:251 A Derivatives can be used in many contexts 10:00 AM-11:40 AM 10:00 AM-11:40 AM including optimization, sensitivity analysis, Room:251 B Room:251 C and uncertainty quantification. Earth system For Part 2 see MS215 Part of the SIAM Workshop Celebrating models frequently compute adjoints to Development of scalable numerical methods Diversity study the estimate of sensitivity of model for the solution of problems with high- output with respect to input. Factors to be Recent years have witnessed an increasing dimensional stochastic or parametric inputs considered in adjoint computation include interest in developing models for has been a subject of active research in the accuracy of derivatives, the speed of understanding imminent challenges in computational sciences and engineering. This computing them, and the ease with which engineering and public health. In this is motivated by the need to reduce the issue they can be computed. This minisymposium minisymposium, the talks will highlight some of curse-of-dimensionality, i.e., exponential will present talks showing examples of of the issues encountered when trying to increase of computational complexity, adjoint computation in earth system models apply data-driven approaches to the real-time in predictive simulation of physical as well as advances in their efficient systems. The increasing availability of data systems where accurate specification of computation. from a variety of sources including social governing laws entails a large number of media provides the ability to model complex Organizer: Sri Hari Krishn parameters or stochastic variables. To this ecosystems enabling human decision-making. Narayanan end, several novel approaches based on Models have the potential to facilitate more Argonne National Laboratory, USA multi-level, reduced order, sparse, and low- accurate assessment for such systems, and to rank approximations have been recently Organizer: Paul D. Hovland provide a basis for more efficient and targeted developed. This minisymposium presents Argonne National Laboratory, USA approaches to treatment and scheduling, state-of-the-art in such developments through an improved understanding of the 10:00-10:20 Improving the Efficiency for various aspects of high-dimensional mechanisms of action. of the Adjoint of Fixed-Point Iterations computation, including analysis, algorithms, Sri Hari Krishn Narayanan, Argonne implementation, and applications. Organizer: Anuj Mubayi Arizona State University, USA National Laboratory, USA; Daniel Organizer: Alireza Doostan Goldberg, University of Edinburgh, United University of Colorado Boulder, USA Organizer: Raegan Higgins Kingdom; Paul D. Hovland, Argonne Texas Tech University, USA National Laboratory, USA Organizer: Dongbin Xiu Organizer: Susan E. Minkoff 10:25-10:45 Development of a Time- University of Utah, USA University of Texas at Dallas, USA Dependent Ice Flow Model Adjoint 10:00-10:20 Local Polynomial Chaos and Its Applications Methods for High Dimensional SPDE Organizer: Stephen Wirkus Daniel Goldberg, University of Edinburgh, Yi Chen, Purdue University, USA; John D. Arizona State University, USA Jakeman, Sandia National Laboratories, United Kingdom; Patrick Heimbach, 10:00-10:20 Analysis of Information Massachusetts Institute of Technology, USA; Xueyu Zhu and Dongbin Xiu, Diffusion on Social Networks USA University of Utah, USA Daniel Romero, University of Michigan, USA 10:50-11:10 Parallel 4D Variational 10:25-10:45 Uncertainty Propagation 10:25-10:45 The Collective Impact of Data Assimilation Using Infinite Mixture of Gaussian Social Factors and Interventions on Vishwas Hebbur Venkata Subba Rao and Processes and Variational Bayesian the Dynamics of Reported Narcotic- Adrian Sandu, Virginia Tech, USA Inference Related Criminal Cases in the Peng Chen and Nicholas Zabaras, Cornell 11:15-11:35 An Adjoint Based Community Areas of Chicago University, USA; Ilias Bilionis, Purdue Analysis of the Physical Drivers of Maryam Khan, Arizona State University, USA University, USA Uncertainty in Air-Sea Exchange and 10:50-11:10 An Effective Community- Ocean Draw Down of Co2 10:50-11:10 Title Not Available at Time based Approach to Mitigate Sybil Chris Hill and Oliver Jahn, Massachusetts of Publication Attacks in Online Social Networks Institute of Technology, USA; Jean Utke, Raul F. Tempone, King Abdullah University Satyajayant Misra, New Mexico State Argonne National Laboratory, USA of Science & Technology (KAUST), Saudi University, USA Arabia 11:15-11:35 The Dynamics of 11:15-11:35 Multivariate Weighted Co-Evolution of Health Behaviors in Least-squares using Monte Carlo College Population Samples Anuj Mubayi, Arizona State University, USA Akil Narayan, University of Massachusetts, Dartmouth, USA 2015 SIAM Conference on Computational Science and Engineering 125

Tuesday, March 17 10:50-11:10 Fluctuating Tuesday, March 17 Hydrodynamics of Suspensions of MS193 Rigid Particles MS194 Aleksandar Donev, Courant Institute of Computational Benchmarks Mathematical Sciences, New York Inverse Problems and Data for Soft Materials and University, USA Assimilation - Part II of VI Complex Fluids at the 11:15-11:35 SPH Model for Landau- 10:00 AM-11:40 AM Mesoscale - Part I of III Lifshitz Navier-Stokes and Advection- Diffusion Equations Room:251 E 10:00 AM-11:40 AM Alexander Tartakovsky, Pacific Northwest For Part 1 see MS168 Room:251 D National Laboratory, USA; Jannes For Part 3 see MS218 Kordilla, University of Goettingen, The aim of this minisymposium is to For Part 2 see MS217 Germany; Wenxiao Pan, Pacific Northwest document recent mathematical developments Computational modeling of multiphysical National Laboratory, USA in the field of inverse problems and data processes at the mesoscale is becoming assimilation based on theoretical and increasingly important for applications in numerical grounds that are relevant for micro-/nano-technology, next-generation various scientific and real life applications. battery technology, material assembly and Topics for the minisymposium include but biological systems. In this minisymposium are not limited to: we address mathematical modeling along with numerical schemes that can effectively 1) deterministic and statistical approaches to capture mesoscale multiphysics such as inversion problems and data assimilation; hydrodynamics, transport, electrostatics and 2) reduced order modeling inversion chemical reaction. Desirable features of framework; the numerical schemes include robustness, 3) treatment of nonlinear and non-smooth accuracy, scalability, as well as potential to processes; cross scales as a multiscaling framework. The benchmark applications that we are 4) sensitivity analysis and its application to interested in include mixing and separation adaptive (targeting) observation; processes in micro-/nano-channel, semi- 5) operational data assimilation systems; permeable membranes, diffusive transport 6) uncertainties impact studies; and electrochemical reaction in porous electrode, colloid and nanoparticle assembly, 7) automatic tools to support inversion and as well as macromolecular conformational data assimilation methodologies. change. Organizer: Razvan Stefanescu Organizer: Mauro Perego Virginia Tech, USA Sandia National Laboratories, USA Organizer: Adrian Sandu Organizer: Wenxiao Pan Virginia Tech, USA Pacific Northwest National Laboratory, USA Organizer: Ionel M. Navon Organizer: Nathaniel Trask Florida State University, USA Brown University, USA Organizer: Dacian N. Daescu Organizer: Kyungjoo Kim Portland State University, USA Sandia National Laboratories, USA 10:00-10:20 Toward New Applications 10:00-10:20 A Nano Pore-Scale of the Adjoint Tools in 4D-Var Data Model for the Nanostructured Assimilation Cathode of Lithium-Oxygen Batteries Dacian N. Daescu, Portland State University, Wenxiao Pan, Pacific Northwest National USA; Ricardo Todling, NASA, USA; Rolf Laboratory, USA Langland, Naval Research Laboratory, USA; Austin Hudson, Portland State 10:25-10:45 Boltzmann’s State of University, USA Motion: Phenomenological Modeling of Chemical and Ecological Systems 10:25-10:45 Computing Exactly and Yian Ma and Hong Qian, University of Eficiently Arbitrarily-High-Order Response Sensitivities to Model Washington, USA Parameters Dan G. Cacuci, University of South Carolina, USA

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Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS194 MS195 MS196 Inverse Problems and Data Uncertainty Quantification Numerical Methods for Assimilation - Part II of VI Methods for Power Grid Multimaterial Flows with 10:00 AM-11:40 AM Systems - Part I of II Deforming Boundaries - continued 10:00 AM-11:40 AM Part I of III Room:251 F 10:00 AM-11:40 AM For Part 2 see MS219 Room:254 A 10:50-11:10 Dealing with The properties of many operational and For Part 2 see MS220 Nonsmoothness in Data Assimilation structural elements of power grid models Multimaterial flows with deforming Andreas Griewank, Humboldt University are typically known to some degree of boundaries appear in many applications Berlin, Germany certainty. Examples include grid topology involving biological flows, medicine, industry, and state, including knowledge of what and homeland security. As the number of 11:15-11:35 Second Order Analysis in lines are down; model parameters, such as applications grow, so too the amount of Variational Data Assimilation generator/load/line electrical and performance research into developing and improving Francois-Xavier L. Le-Dimet, Université characteristics; and operational conditions, existing numerical methods for deforming de Grenoble Alpes, France; M Yousuff such as renewable generator and load levels. boundary problems in multi-material flows. In Hussaini, Florida State University, USA; In this minisymposium we bring together this minisymposium, novel numerical methods Ha Tran Thu, Vietnamese Academy of modeling contributions for the treatment of will be presented that address efficiency Science and Technology, Vietnam these uncertainties, to improve the design and and accuracy in adaptive mesh refinement operation of power grids. algorithms, scalability on high performance Organizer: Cosmin Safta computing platforms, robust interface capturing Sandia National Laboratories, USA methods, numerical methods for phase change (freezing, boiling, evaporation), and numerical Organizer: Ali Pinar methods for enforcing boundary conditions at Sandia National Laboratories, USA deforming boundary interfaces. Organizer: Jean-Paul Watson Organizer: Mark Sussman Sandia National Laboratories, USA Florida State University, USA 10:00-10:20 An Efficient Approach for Organizer: Frederic G. Gibou Stochastic Optimization of Electricity University of California, Santa Barbara, USA Grid Operations Cosmin Safta, Habib N. Najm, Richard L. Organizer: Feng Xiao Chen, Ali Pinar, and Jean-Paul Watson, Tokyo Institute of Technology, Japan Sandia National Laboratories, USA 10:00-10:20 High Resolution PDE 10:25-10:45 Two-Stage Adaptive Solvers on Octree Grids and Parallel Robust Unit Commitment Using Architectures Scenarios Induced Uncertainty Set Frederic G. Gibou, University of California, Richard L. Chen, Cosmin Safta, Jean-Paul Santa Barbara, USA Watson, Habib N. Najm, and Ali Pinar, 10:25-10:45 Topological Change with a Sandia National Laboratories, USA Cut Cell based Sharp Interface Method 10:50-11:10 Data-Driven Model for for Multi-phase Flows Solar Irradiation Based on Satellite Xiao-Long Deng, Beijing Computational Observations Science Research Center, China Ilias Bilionis, Purdue University, USA; Emil 10:50-11:10 A Second Order Virtual M. Constantinescu and Mihai Anitescu, Node Algorithm for Navier–Stokes Flow Argonne National Laboratory, USA Problems with Interfacial Forces and 11:15-11:35 Economic Impacts of Discontinuous Material Properties Wind Covariance Estimation on Power Joseph Teran, University of California, Los Grid Operations Angeles, USA Cosmin G. Petra and Victor Zavala, Argonne 11:15-11:35 On the Coupling of Far- National Laboratory, USA; Elias Nino- Field Wind-Wave Simulation and Near- Ruiz, Virginia Tech, USA; Mihai Anitescu, Field Free-Surface Flow Simulation Argonne National Laboratory, USA Antoni E. Calderer, University of Minnesota, USA; Xin Guo, University of California, Berkeley, USA; Fotis Sotiropoulos and Lian Shen, University of Minnesota, USA 2015 SIAM Conference on Computational Science and Engineering 127

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS197 MS198 MS199 Parallel Computing for Student Days: Combining Hybrid and Multilevel Partial Differential Equations Disciplines, Techniques, Approaches to Kinetic on CPUs, GPUs, and Intel Phi Faculty and Students to Equations - Part III of IV - Part I of II Tackle Protein Folding 10:00 AM-11:40 AM 10:00 AM-11:40 AM 10:00 AM-11:40 AM Room:150 AB Room:254 B Room:254 C For Part 2 see MS173 For Part 2 see MS221 Consistently predicting protein structure is a For Part 4 see MS223 Modern architectures including multi-core grand challenge in biology. This symposium In recent years, a significant amount of CPUs, massively parallel GPUs, and many- features speakers from an educational effort has been directed to solving kinetic core accelerators such as the 60-core Intel experiment that was conducted during the equations. Generally, kinetic equations Phi processor offer great opportunities summer of 2014: nine students and three have posed a challenge due to the large for speeding up computations. They pose faculty representing different institutions phase space associated with the equations, significant challenges due to the hybrid and disciplines, spent 10 weeks under however algorithmic advances and programming models and libraries that need one roof discussing protein folding and advances in computer hardware have made to be used, ranging from distributed-memory learning about HPC. The WeFold project these simulations more tractable. In this computing with MPI, multi-threading with that brings together researchers worldwide minisymposium, we consider hybrid and OpenMP, CUDA on GPUs, offloading to to collaborate and compete at the CASP multilevel approaches to solving kinetic the Phi, for instance. This minisymposium protein folding competition, served as the equations. will share experiences with parallel code and educational framework. The learning curve Organizer: Jeffrey A. Willert numerical algorithms from fundamental test for the students was steep and the results Los Alamos National Laboratory, USA problems over established benchmark codes to impressive suggesting that this approach specialized research code. The minisymposium is an effective methodology to introduce Organizer: Cory Hauck will start with an overview and contrast of the students to computational sciences and HPC. Oak Ridge National Laboratory, USA architectures and include the opportunity for Organizer: Silvia N. Crivelli Organizer: Ryan McClarren the audience to discuss their own experiences. Lawrence Berkeley National Laboratory, Texas A&M University, USA Organizer: Matthias K. Gobbert USA Organizer: Martin Frank University of Maryland, Baltimore County, 10:00-10:20 WeFold: a Collaborative RWTH - Aachen University of Technology, USA and Educational Experiment Germany Organizer: Ulrich J. Ruede Silvia N. Crivelli, Lawrence Berkeley Organizer: Jingmei Qiu University of Erlangen-Nuremberg, Germany National Laboratory, USA; John Hatherill, University of Houston, USA Del Mar Community College, USA; Jesse 10:00-10:20 Overview and Contrast Fox, Mountain View Community College, 10:00-10:20 A Moment Model for the of Modern Computer Architectures USA Vlasov Fokker Planck Equation Including the Intel Phi Charles K. Garrett and Cory Hauck, Oak Jonathan Graf, Samuel Khuvis, Xuan Huang, 10:25-10:45 Creating the Largest Ridge National Laboratory, USA and Matthias K. Gobbert, University of Decoys Database to Improve Scoring Maryland, Baltimore County, USA Functions Using Machine Learning 10:25-10:45 An Implcit, Conservative Ricardo Ferreira and Christopher Cook, Vlasov-Darwin Pic Solver in Multiple 10:25-10:45 The HPCG Benchmark Mountain View Community College, USA Dimensions Using Intel Phi Accelerators Guangye Chen and Luis Chacon, Los Adam Cunningham, Gerald Payton, and 10:50-11:10 The Maintenance of the Alamos National Laboratory, USA Jack Slettebak, University of Maryland, WeFold Gateway for CASP11 Baltimore County, USA; Jordi Wolfson- Anthony Lopez, Del Mar Community 10:50-11:10 Modeling Non-Ideal Plasmas: a Hyrbid Quantum Pou, University of California, Santa Cruz, College, USA Hydrodynamics and Molecular USA 11:15-11:35 Reducing the Data Dynamics Approach 10:50-11:10 Offloading Computational Complexity with Filtering and Michael Murillo, Los Alamos National Kernels in Long-Time Simulations to the Clustering Laboratory, USA Intel Phi Rachel A. Davis, Drake University, USA; 11:15-11:35 iFP: An Optimal, Fully Samuel Khuvis, Xuan Huang, Jonathan Graf, Jennifer Ogden, Saint Mary’s College Conservative, Fully Implicit, Vlasov- and Matthias K. Gobbert, University of of California, USA; Rehan Raiyyani, Fokker-Planck Solver Maryland, Baltimore County, USA University of California, San Diego, USA William T. Taitano, Luis Chacon, and 11:15-11:35 Asynchronous Andrei Simakov, Los Alamos National Preconditioning on Accelerators Laboratory, USA Edmond Chow, Georgia Institute of Technology, USA 128 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 Tuesday, March 17 10:50-11:10 Algebraic Multigrid Solvers for Lattice QCD in the Hypre MS200 MS201 Software Library Evan Berkowitz, Lawrence Livermore Partitioning and Load Deployment and National Laboratory, USA; James Balancing in Scientific Application of Technologies Brannick, Pennsylvania State University, Applications provided by the FASTMath USA; Robert Falgout and Chris Schroeder, Lawrence Livermore National 10:00 AM-11:40 AM Institute - Part I of II Laboratory, USA Room:150 DE 10:00 AM-11:40 AM 11:15-11:35 Block-Structured AMR: The importance of partitioning and load Room:258 Applications Using BoxLib Ann S. Almgren, Lawrence Berkeley balancing is growing with the emergence For Part 2 see MS225 National Laboratory, USA of computers with 100K+ cores. This The FASTMath SciDAC Institute develops minisymposium will address issues involved and deploys scalable mathematical with partitioning and load balancing at algorithms and software tools for reliable extreme scale for scientific applications. simulation of complex physical phenomena. These issues include partitioning for extreme These tools include structured and core counts, for memory-constrained unstructured mesh techniques, linear and processors, and for complex objectives. nonlinear solvers, eigensolvers and time Organizer: Karen D. Devine integration methods. Research efforts are Sandia National Laboratories, USA focused on developing a full range of accurate and robust technologies that support Organizer: Siva Rajamanickam different application codes specifically those Sandia National Laboratories, USA employed by the Department of Energy’s Organizer: Brian Van Straalen domain scientists. This minisymposium will Lawrence Berkeley National Laboratory, place emphasis on application of FASTMath tools on SciDAC and related applications. USA Speakers will discuss the challenges in 10:00-10:20 Unstructured Mesh different application areas and the impact of Partitioning to over 500k Parts the latest developments in FASTMath tools. Cameron Smith, Dan A. Ibanez, and Mark S. Shephard, Rensselaer Polytechnic Organizer: Onkar Sahni Institute, USA Rensselaer Polytechnic Institute, USA 10:25-10:45 Current Challenges Organizer: Lori A. Diachin in Mesh Partitioning for Physics Lawrence Livermore National Laboratory, Simulations USA Cédric Chevalier, CEA, France 10:00-10:20 Gyrokinetic Poisson 10:50-11:10 The Zoltan2 Toolkit: Equation Solvers with Explicit Flux Partitioning, Task Placement, Surface Averaging in XGC1 with Coloring, and Ordering PETSc Karen D. Devine, Erik G. Boman, Siva Mark Adams, Lawrence Berkeley National Rajamanickam, and Lee Ann Riesen, Laboratory, USA; Seung-Hoe Ku, Sandia National Laboratories, USA; Princeton Plasma Physics Laboratory, Mehmet Deveci and Umit V. Catalyurek, USA The Ohio State University, USA 10:25-10:45 Preconditioners for 11:15-11:35 Zoltan2 for Extreme-Scale Implicit Atmospheric Climate Data Partitioning Simulations in the Community Michael Wolf, Sandia National Laboratories, Atmosphere Model USA David J. Gardner, Lawrence Livermore National Laboratory, USA; Katherine J. Evans, Oak Ridge National Laboratory, USA; Aaron Lott, D-Wave Systems, Inc., Canada; Andrew Salinger, Sandia National Laboratories, USA; Carol S. Woodward, Lawrence Livermore National Laboratory, USA

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Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS202 MS203 MS204 Advances in Multigrid Software Components for Recent Advances in High Methods and Their Integral Equation Methods - Order Spatial Discretization Applications - Part I of II Part III of IV Methods for PDEs - 10:00 AM-11:40 AM 10:00 AM-11:40 AM Part I of III Room:259 Room:260 A 10:00 AM-11:40 AM For Part 2 see MS226 For Part 2 see MS177 Room:260 B Multigrid is the most successful and For Part 4 see MS227 For Part 2 see MS228 generally-applicable scalable approach Due to recent advances in the underlying Many complex physical phenomena can be to solving problems with a hierarchy technology, integral equations have become modeled by partial differential equations and of scales in application areas such as highly competitive in attacking the most the numerical simulation of PDEs has been elliptic PDEs, optimization, inversion, and challenging of elliptic, globally-coupled PDE an active research area. This minisymposium image processing. Scalable methods are problems. However, compared to a standard aims to bring researchers together to discuss increasingly essential as hardware evolution off-the-shelf finite element methods, a the numerical challenges when designing and algorithmic advances enable the solution larger amount of machinery is involved, high order spatial discretization methods of larger scale problems in science and including fast algorithms, preconditioners, for time-dependent/static PDEs, with engineering applications. This session brings and singular quadrature methods. To particular attention on weighted essentially together researchers developing multigrid make this theoretically attractive family of non-oscillatory (WENO) methods and and related methods to assess the state of the methods practically usable, many of these discontinuous Galerkin (DG) methods. art, recent theoretical advances, and novel components need to be readily available in applications. software form. This minisymposium seeks to Organizer: Yuan Liu Michigan State University, USA Organizer: Zichao Di bring together practitioners and researchers with the goal of encouraging exchange of Argonne National Laboratory, USA Organizer: Qi Tang ideas and discovering opportunities for Michigan State University, USA Organizer: Maria Emelianenko collaboration in this direction. Organizer: Andrew J. Christlieb George Mason University, USA Organizer: Timo Betcke Michigan State University, USA Organizer: Jed Brown University College London, United Kingdom Argonne National Laboratory, USA and 10:00-10:20 High Order WENO Organizer: Andreas Kloeckner Method for Steady State Problems University of Colorado Boulder, USA University of Illinois, USA Liang Wu and Yongtao Zhang, University of 10:00-10:20 Optimization Approach 10:00-10:20 Rank-Structured Notre Dame, USA; Shuhai Zhang, China for Tomographic Inversion from Preconditioners for Two and Three- Aerodynamics Research and Development Multiple Data Modalities Dimensional Integral and Differential Center, China; Chi-Wang Shu, Brown Zichao Di, Sven Leyffer, and Stefan Wild, Equations University, USA Argonne National Laboratory, USA Steffen Börm and Knut Reimer, Kiel 10:25-10:45 A Hybrid Weno 10:25-10:45 Multigrid Preconditioning University, Germany Reconstruction on Unstructured Mesh for Space-time Distributed Optimal 10:25-10:45 Practical and Efficient Yuan Liu, Michigan State University, USA Control Problems Constrained by Direct Solvers for BIEs Parabolic Equations 10:50-11:10 A New RKDG Method Gunnar Martinsson, University of Colorado with Conservation Constraint to Andrei Draganescu and Mona Hajghassem, Boulder, USA University of Maryland, Baltimore Improve CFL Condition for Solving County, USA 10:50-11:10 Fast Solvers for Conservation Laws Hierarchical Matrices Zhiliang Xu, University of Notre Dame, 10:50-11:10 Multigrid in Chaos Amirhossein Aminfar, Stanford University, USA Qiqi Wang and Patrick Blonigan, USA; Sivaram Ambikasaran, Courant 11:15-11:35 A High-Order Adaptive Massachusetts Institute of Technology, Institute of Mathematical Sciences, New USA Finite Volume Solver for Steady Euler York University, USA; Mohammad Hadi Equations 11:15-11:35 About Some Smoothers Pour Ansari and Eric F. Darve, Stanford Guanghui Hu, University of Macau, China for Saddle-point Problems University, USA Carmen Rodrigo, Francisco José Gaspar, 11:15-11:35 A New Integral and Francisco Lisbona, University of Formulation and Fast Direct Solver for Zaragoza, Spain; Ludmil Zikatanov, Periodic Stokes’ Flow Pennsylvania State University, USA Adrianna Gillman, Rice University, USA; Alex H. Barnett, Dartmouth College and Simons Foundation, USA; Shravan Veerapaneni and Gary Marple, University of Michigan, USA 130 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS205 MS206 MS207 Reduced-space PDE- Advances in Computational Advances in High Level constrained Optimization for Techniques for Coastal Finite Element Systems - Engineering Design Ocean Modeling - Part I of II 10:00 AM-11:40 AM Part I of II 10:00 AM-11:40 AM Room:151 AB 10:00 AM-11:40 AM Room:151 G The theme of this minisymposium is the Room:151 DE For Part 2 see MS231 optimization of complex engineering systems For Part 2 see MS230 Many modern software projects utilize that are modelled using computationally- Environmental and coastal ocean engineering the high level of mathematical abstraction expensive PDE simulations. The focus models yield complex systems combining provided by finite element methods to is on gradient-based algorithms applied interdisciplinary techniques. Moreover, their develop powerful libraries that hide or even to reduced-space formulations, in which accurate and efficient simulation requires automate many practical computational the state variables are considered implicit advanced techniques in high performance details. Such codes increase programmer functions of the design via the PDE scientific computing. This minisymposium productivity, decrease potential sources of constraint. Compared with full-space, brings together experts to discuss a number errors, and simplify the implementation of or "one-shot,” methods, reduced-space of new ideas for the development, analysis complex calculations such as h/p adaptivity formulations offer a simplified and modular and application of this important class of and adjoint-based optimization. This approach to optimization. However, despite problems. Specific ideas include the high minisymposium will bring together key its long history and popularity, the reduced- resolution modeling of weather extremes participants from Deal.II, Dune, FEniCS, space approach continues to present unique such as hurricane storm surge, wave Dolfin-adjoint, Firedrake and Nektar++ to challenges, which the speakers will discuss propogation, climate change, and flood communicate the latest advances in and and address. control. applications of such finite element systems. Organizer: Jason E. Hicken Organizer: Jennifer Proft Organizer: David Ham Rensselaer Polytechnic Institute, USA University of Texas at Austin, USA Imperial College London, United Kingdom Organizer: Graeme Kennedy Organizer: Clint Dawson Organizer: Rob Kirby Georgia Institute of Technology, USA University of Texas at Austin, USA Baylor University, USA 10:00-10:20 Constraint Aggregation 10:00-10:20 A Parallel Local 10:00-10:20 FinAT: A Mathematical Methods for PDE-Constrained Timestepping Runge-Kutta Structure-Preserving Library of Finite Optimization Discontinuous Galerkin Method Elements Graeme Kennedy, Georgia Institute of with Applications to Coastal Ocean David Ham, Imperial College London, Technology, USA; Jason E. Hicken, Modeling United Kingdom; Rob Kirby, Baylor Rensselaer Polytechnic Institute, USA Clint Dawson, University of Texas at Austin, University, USA 10:25-10:45 A Krylov-Based Iterative USA 10:25-10:45 Multicore Parallelism for Solver for Equality-Constrained Non- 10:25-10:45 Physically Based Common Finite Element Operations Convex Quadratic Subproblems Assessment of Hurricane Surge Threat Bruno Turcksin, Texas A&M University, Jason E. Hicken and Alp Dener, Rensselaer under Climate Change USA; Martin Kronbichler, Technische Polytechnic Institute, USA Ning Lin, Princeton University, USA Universität München, Germany; Wolfgang Bangerth, Texas A&M University, USA 10:50-11:10 Aerodynamic Shape 10:50-11:10 Understanding Coastal Optimization with Goal-Oriented Error Hydrodynamic Processes and 10:50-11:10 Towards a Unified Estimation and Control Mitigating Risk Through High Fidelity Framework for Automated a Posteriori Marian Nemec and Michael Aftosmis, Computer Simulations Error Estimation and Adaptivity in NASA Ames Research Center, USA Joannes Westerink, University of Notre Space-Time Marie E. Rognes, Simula Research 11:15-11:35 Large-Scale PDE- Dame, USA Laboratory, Norway; Anders Logg, Constrained Fluid-Structure 11:15-11:35 Development Chalmers University of Technology, Optimization and Validation of DG Wave: a Sweden; Benjamin Kehlet, Simula Gaetan Kenway and Joaquim R. R. A Discontinuous Galerkin-Based Research Laboratory, Norway Martins, University of Michigan, USA Numerical Wave Prediction Model Ethan Kubatko, The Ohio State University, 11:15-11:35 Finite Element Geometric USA Multigrid Solvers from High-Level Problem Descriptions Lawrence Mitchell, Imperial College London, United Kingdom; Eike H. Mueller, University of Bath, United Kingdom; David Ham and Colin J. Cotter, Imperial College London, United Kingdom 2015 SIAM Conference on Computational Science and Engineering 131

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 Intermission PD4 Panel PD5 11:40 AM-11:50 AM Data Science: What is It Thinking of Writing a Book? and How to Teach It 12:45 PM-2:15 PM 12:45 PM-2:15 PM Room:355 D IP8 Room:355 A Chair: Nicholas J. Higham, University of Manchester, United Kingdom The Power of Matrix and Chair: Christopher Johnson, University of Utah, USA Ever thought about writing a book? Ever Tensor Decompositions in Chair: Jeff Phillips, University of Utah, USA wondered just what that entails? This Smart Patient Monitoring session brings together successful authors Recently, the term Big Data has become and publishing staff to discuss the process. 11:50 AM-12:35 PM ubiquitous. People who can wrangle Big Topics of interest will include: Room:355 Data are called Data Scientists. According to a number of sources, there is a growing • Why and when you should consider Chair: Tom Bartol, The Salk Institute, USA need for people trained as Data Scientists. writing a book Accurate and automated extraction of But what is Data Science? Is Data Science • A step-by-step description of the clinically relevant information from its own field or is it an interdisciplinary process, from initial idea to published patient recordings requires an ingenious mix of Computer Science, Mathematics book combination of adequate pretreatment of the and Statistics, and Domain Knowledge or • How to choose a publisher data (e.g. artefact removal), feature selection, perhaps it is really what Statisticians have • The author/publisher relationship – who pattern recognition, decision support, up been doing all along? Since data science does what to their embedding into user-friendly user at scale involves large-scale computation, • Pitfalls to avoid interfaces. The underlying computational what is the relation between data science • Tips from successful authors problems can be solved by making use of and computational science in research and matrix and tensor decompositions as building education? This panel features leaders in Even if you aren’t currently thinking of blocks of higher-level signal processing Data Science and Computational Science to becoming an author, this session promises to algorithms. A major challenge here is how discuss the current and future status of Data be lively and engaging! to make the mathematical decompositions Science, its relationship to Computational Daniela Calvetti 'interpretable’ such that they reveal the Science, opportunities for Data and Case Western Reserve University, USA underlying medically relevant information Computational Scientists and educating Eldad Haber and improve medical diagnosis. The future Data Scientists. Emory University, USA application of these decompositions and their benefits will be illustrated in a variety of Panelists: Ralph Smith case studies, including epileptic seizure onset To Be Announced North Carolina State University, USA localisation using adult and neonatal scalp Elizabeth Greenspan EEG and Event-related potential analysis SIAM, USA during simultaneous EEG-fMRI acquisition. David Marshall Sabine Van Huffel SIAM, USA Katholieke Universiteit Leuven, Belgium

Lunch Break 12:35 PM-2:15 PM Attendees on their own

Workshop Celebrating Diversity (WCD) Luncheon (by invitation only) 12:45 PM-2:15 PM Room:255 D 132 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MT3 MS208 MS209 Minitutorial: Lab Skills for Recent Advances in First Principle Methods Scientific Computing - Numerical Methods for and Applications for Part I of II Interface Problems - Computational Materials 2:15 PM-3:55 PM Part I of IV Science and Chemistry- Part II of III Room:355 2:15 PM-3:55 PM For Part 2 see MT4 Room:250 A 2:15 PM-3:55 PM Chair: Greg Wilson, Mozilla Foundation, For Part 2 see MS233 Room:250 B USA Many real world applications are For Part 1 see MS184 The Software Carpentry project (http:// characterized by multiple materials and For Part 3 see MS234 software-carpentry.org) has been teaching complex fluids, and they often lead to First principle electronic structure basic computing skills to scientists and interface problems. It is imperative to develop calculations are among the most challenging engineers since 1998. This minitutorial efficient and stable numerical methods for and computationally demanding science and will introduce the tools and techniques that these problems. Great efforts have been made engineering problems. This minisymposium have proven most useful, and show how for solving interface problems and tracing aims at presenting and discussing new integrating them can help researchers get the moving interfaces in the past decades. numerical methods for achieving ever more done in less time, and with less pain. However, many challenges, such as the lack higher level of accuracy and efficiency This two-part minitutorial will introduce of regularity of physical solutions due to the in ground and excited density functional several widely-used practices in software discontinuity across interfaces, still hinder the theory calculations, and their applications development, explore the empirical evidence development of efficient numerical methods. in computational materials science and showing their benefits (or in some cases the This minisymposium intends to create a forum chemistry. We propose to bring together lack thereof), and describe how researchers for researchers from different fields to discuss physicists, chemists and materials scientists and research teams can adopt them. Some recent advances on the interface methods and who are involved in improving the numerical of the work will be hands-on, so participants their applications. development of widely known quantum are strongly urged to bring a laptop. Organizer: Xiaoming He chemistry and solid-state physics application Warning: real-world examples may be used. Missouri University of Science and software packages, with mathematicians and computer scientists who are focusing Greg Wilson, Mozilla Foundation, USA Technology, USA on advancing the required state-of-the- Organizer: Xiaolin Li art mathematical algorithms and parallel State University of New York, Stony Brook, implementation. USA Organizer: Lin Lin 2:15-2:35 Modelling of Fabric Surface University of California, Berkeley, USA for Parachute Inflation through Front Tracking Organizer: Eric Polizzi Xiaolin Li, State University of New York, University of Massachusetts, Amherst, USA Stony Brook, USA Organizer: Chao Yang 2:40-3:00 Thermodynamically Lawrence Berkeley National Laboratory, Consistent and Meta-Stable Equation USA of State Models for Hydro and Solid 2:15-2:35 Truly Scalable O(N) Dynamics Approach for First-Principles John W. Grove, Los Alamos National Molecular Dynamics (FPMD) of Non- Laboratory, USA Metallic Systems 3:05-3:25 Overlapping BEM on FEM Jean-Luc Fattebert and Daniel Osei-Kuffuor, computations Lawrence Livermore National Laboratory, Francisco J. J. Sayas, University of Delaware, USA USA; Victor Dominguez, Universidad 2:40-3:00 Towards Ab-Initio Pública de Navarra, Spain; Matthew Simulations of Nanoelectronic Hassell, University of Delaware, USA Devices 3:30-3:50 An Augmented Method Mathieu Luisier, Mauro Calderara, Sascha for Stokes-Darcy Coupling and Brueck, Hossein Bani-Hashemian, Applications and Joost VandeVondele, ETH Zürich, Zhilin Li, North Carolina State University, Switzerland USA

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3:05-3:25 Using Next-generation Tuesday, March 17 Tuesday, March 17 Architectures to Model Large and Complex Molecular Environments MS210 MS211 Bert de Jong, Hongzhang Shan, and Leonid Oliker, Lawrence Berkeley National Resilient, Extreme-scale Recent Advances in Model Laboratory, USA Numerical Algorithms - Reduction - Part II of V 3:30-3:50 Ab Initio Quantum Monte Part II of II 2:15 PM-3:55 PM Carlo in Computational Materials Science and Chemistry 2:15 PM-3:55 PM Room:250 D Paul Kent, Oak Ridge National Laboratory, Room:250 C For Part 1 see MS187 USA For Part 1 see MS186 For Part 3 see MS236 Computer architectures are undergoing Model reduction has become an increasingly fundamental changes that will require the important tool to mitigate the computational rethinking and invention of numerical burden of modeling and simulation in time- algorithms suitable for computing at extreme critical (e.g., model-predictive control) scales (over 100 PFlops). Numerical and many query (e.g., Bayesian inversion) solver technologies are needed that favor applications. This minisymposium presents computation over data motion, that expose recent advances that address the primary much greater concurrency, and that are challenges facing such methods, such as resilient to increasing soft and hard faults. preserving intrinsic problem structure, This minisymposium will feature progress handling high-dimensional parameter spaces, in the development of such algorithms by integration with existing simulation codes, several projects funded by the DOE Resilient stability, optimization and uncertainty Extreme-Scale Solvers initiative. A breadth quantification and control. of topics will be addressed, including Organizer: Kevin T. Carlberg algebraic multigrid, methods for hyperbolic Sandia National Laboratories, USA conservation laws, Particle-In-Cell algorithms, and stochastic methods for linear systems. Organizer: Gianluigi Rozza SISSA, International School for Advanced Organizer: John Loffeld Studies, Trieste, Italy Lawrence Livermore National Laboratory, 2:15-2:35 Reduced Order Modeling of USA Geophysical Flows Organizer: Andrew Myers Traian Iliescu, Virginia Tech, USA Lawrence Berkeley National Laboratory, USA 2:40-3:00 Energy-based Inner Organizer: Jeffrey A. Hittinger Products for POD/Galerkin Model Lawrence Livermore National Laboratory, Reduction for Compressible Flows USA Jeffrey Fike, Irina Kalashnikova, Matthew Barone, and Srinivasan Arunajatesan, 2:15-2:35 Parallel Algorithms for the Sandia National Laboratories, USA Monte Carlo Synthetic Acceleration Linear Solver Method 3:05-3:25 Data-driven Optimal Stuart Slattery, Tom Evans, and Steven Rational Approximation via Hamilton, Oak Ridge National Laboratory, Numerical Quadrature USA Christopher A. Beattie, Virginia Tech, USA; Zlatko Drmac, University of Zagreb, 2:40-3:00 Iterative Performance of Croatia; Serkan Gugercin, Virginia Tech, Monte Carlo Linear Solver Methods USA Massimiliano Lupo Pasini, Emory University, USA 3:30-3:50 Efficient Reduced Basis Methods for Contact and Related 3:05-3:25 Comparative Performance Problems Analysis of an Algebraic Multigrid Karen Veroy-Grepl, Zhenying Zhang, Solver on Leading Multicore Architectures Eduard Bader, and Mark Kaercher, RWTH Aachen University, Germany Alex Druinsky, Brian Austin, Xiaoye Sherry Li, Osni A. Marques, Eric Roman, and Samuel Williams, Lawrence Berkeley National Laboratory, USA 3:30-3:50 Segmental Refinement: A Multigrid Technique for Data Locality Mark Adams, Lawrence Berkeley National Laboratory, USA 134 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS212 MS213 MS214 Advances in Time-stepping Sparse and Compressible Efficient Algorithms for Methods - Part IV of V Representations: Theory, Variational Methods in 2:15 PM-3:55 PM Algorithms and Applications Imaging - Part I of II Room:250 E - Part II of III 2:15 PM-3:55 PM For Part 3 see MS188 2:15 PM-3:55 PM Room:251 A For Part 5 see MS237 Room:250 F For Part 2 see MS239 Time-stepping methods are numerical We address recent advances in algorithms methods for the time evolution of ODEs, For Part 1 see MS189 For Part 3 see MS238 for variational methods in imaging with DAEs, and PDEs in the method-of-lines a particular focus on non-rigid image framework. Many applications require By focusing effort on identifying dominant terms of a function representation one can registration. We also discuss the use of specialized time-stepping methods in priors in order to supervise algorithms order to enhance efficiency or capture often accurately approximate the function from limited data. Sparsity detection and provide more plausible results in particular theoretical properties such particular applications. The associated large- as positivity, symplecticity, and strong- also referred to as compressed sensing and l1-minimization is one approach that scale mathematical problems manifest as stability-preservation or practical properties formidable, often ill-behaved systems. Key such as parallelization on emerging high- is extremely effective at identifying the dominant terms of a function expansion. algorithmic challenges include computational performance architectures, component (e.g., complexity, memory consumption, a vast multirate or local time-stepping) and physics Recently there have been many advances in l1-minimization including strategies number unknowns as well as model and data (IMEX or semi-implicit) splittings based uncertainties. We showcase state-of-the-art on sub-system properties, and reliable error for sampling, preconditioning and high- dimensional basis selection that attempt to techniques in scientific computing to tackle estimation and control. The talks in this these challenges. minisymposium will describe recent novel maximize the accuracy of recovered signals developments in time-stepping methods whilst minimizing the number of signal Organizer: Andreas Mang and demonstrate their benefits in practical samples. This minisymposium presents University of Texas at Austin, USA applications. recent theoretical results, numerical methods and applications of sparse approximations, Organizer: George Biros Organizer: Emil M. Constantinescu including but not limited to uncertainty University of Texas at Austin, USA Argonne National Laboratory, USA quantification (UQ) and sensitivity analysis 2:15-2:35 Constrained Optimal Organizer: Michael Guenther (SA). Control Approaches in Large Bergische Universität, Germany Organizer: John D. Jakeman Deformation Diffeomorphic Metric Mapping Sandia National Laboratories, USA Organizer: Adrian Sandu Laurent Younes, Johns Hopkins University, Virginia Tech, USA Organizer: Khachik Sargsyan USA Sandia National Laboratories, USA Organizer: Raymond J. Spiteri 2:40-3:00 Nonlinear Image University of Saskatchewan, Canada 2:15-2:35 Sampling Strategies for L1 Registration with a Sliding Motion Minimization 2:15-2:35 Strong Stability Preserving Deformation Model General Linear Methods John D. Jakeman, Sandia National Alexander Derksen, University of Lübeck, Zdzislaw Jackiewicz, Arizona State Laboratories, USA; Akil Narayan, Germany University of Massachusetts, Dartmouth, University, USA 3:05-3:25 Efficient Algorithms for High- USA 2:40-3:00 Stability-Optimized Time Resolution Diffusion-Weighted MRI Integrators for WENO Discretizations 2:40-3:00 Reweighted Minimization Lars Ruthotto, Emory University, USA Method for Uncertainty Quantification David I. Ketcheson, King Abdullah of Microscopic Modeling 3:30-3:50 Efficient Algorithms for University of Science & Technology Physically Constrained Diffeomorphic Guang Lin, Xiu Yang, and Huan Lei, Pacific (KAUST), Saudi Arabia; Debojyoti Image Registration Northwest National Laboratory, USA Ghosh, Argonne National Laboratory, Andreas Mang and George Biros, University USA 3:05-3:25 Least Square Methods of Texas at Austin, USA for Low-Rank Approximations with 3:05-3:25 Implicit-Explicit General Sparsity Inducing Regularization Linear Methods Prashant Rai, Ecole Centrale de Nantes, Hong Zhang, Virginia Tech, USA France; Mathilde Chevreuil, Université de 3:30-3:50 Optimal Explicit Strong Nantes, France; Loïc Giraldi and Anthony Stability Preserving Runge–Kutta Nouy, Ecole Centrale de Nantes, France Methods with High Linear Order and Optimal Nonlinear Order 3:30-3:50 Interpolation Via Weighted L1 Minimization Sigal Gottlieb, Zachary J. Grant, and Daniel L. Higgs, University of Massachusetts, Rachel Ward, University of Texas at Austin, Dartmouth, USA USA; Holger Rauhut, RWTH Aachen University, Germany 2015 SIAM Conference on Computational Science and Engineering 135

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS215 MS216 MS217 Numerical Methods Water Resources Computational Benchmarks for High-Dimensional Management: for Soft Materials and Stochastic and Parametric How to add it all up Complex Fluids at the Problems - Part II of V 2:15 PM-3:55 PM Mesoscale - Part II of III 2:15 PM-3:55 PM Room:251 C 2:15 PM-3:55 PM Room:251 B Part of the SIAM Workshop Celebrating Room:251 D For Part 1 see MS191 Diversity For Part 1 see MS193 For Part 3 see MS240 Techniques from systems theory are For Part 3 see MS242 Development of scalable numerical methods used to create decision support systems Computational modeling of multiphysical for the solution of problems with high- for the management of water resources. processes at the mesoscale is becoming dimensional stochastic or parametric inputs Development of sustainable engineering increasingly important for applications in has been a subject of active research in solutions in which the competing objectives micro-/nano-technology, next-generation computational sciences and engineering. This of economic growth and environmental battery technology, material assembly and is motivated by the need to reduce the issue protection is aided by combined physics biological systems. In this minisymposium of curse-of-dimensionality, i.e., exponential based models and optimization. These we address mathematical modeling along increase of computational complexity, types of solutions have been found to be with numerical schemes that can effectively in predictive simulation of physical more effective when originating at a local capture mesoscale multiphysics such as systems where accurate specification of level as it allows stakeholder/decision hydrodynamics, transport, electrostatics and governing laws entails a large number of maker interaction. This session will chemical reaction. Desirable features of parameters or stochastic variables. To this present methods for managing limited and the numerical schemes include robustness, end, several novel approaches based on decreasing water resources at the local/ accuracy, scalability, as well as potential to multi-level, reduced order, sparse, and low- regional level. cross scales as a multiscaling framework. rank approximations have been recently Organizer: Elma A. Uddameri The benchmark applications that we are developed. This minisymposium presents interested in include mixing and separation Texas Tech University, USA state-of- the-art in such developments processes in micro-/nano-channel, semi- for various aspects of high-dimensional Organizer: Raegan Higgins permeable membranes, diffusive transport computation, including analysis, algorithms, Texas Tech University, USA and electrochemical reaction in porous implementation, and applications. electrode, colloid and nanoparticle assembly, Organizer: Susan E. Minkoff as well as macromolecular conformational Organizer: Dongbin Xiu University of Texas at Dallas, USA change. University of Utah, USA Organizer: Stephen Wirkus Organizer: Mauro Perego Organizer: Alireza Doostan Arizona State University, USA Sandia National Laboratories, USA University of Colorado Boulder, USA 2:15-2:35 Approaches to Evaluate Organizer: Wenxiao Pan 2:15-2:35 Sparse, Adaptive Smolyak Interactions in Collaborative Quadrature Algorithms for Stochastic Groundwater Management Pacific Northwest National Laboratory, USA Inverse Problems Joseph Amaya, Texas A&M University, Organizer: Nathaniel Trask Christoph Schwab and Claudia Schillings, Kingsville, USA Brown University, USA ETH Zürich, Switzerland 2:40-3:00 Managing Surface Water Organizer: Kyungjoo Kim 2:40-3:00 Accelerated Bayesian Resources in Data Sparse Regions Sandia National Laboratories, USA Inference with Transport Maps Felipe Estrada, Texas Tech University, USA 2:15-2:35 Meshless Methods for the Matthew Parno and Youssef M. Marzouk, 3:05-3:25 Application of Simulation- Mesoscale - High Order Implicit ALE Massachusetts Institute of Technology, Optimization for Water Management Schemes using Collocated MLS USA in Hydraulic Fracturing Operations Nathaniel Trask, Brown University, USA; 3:05-3:25 Quasi Optimal Sparse-Grid Elma A. Uddameri, Texas Tech University, Kyungjoo Kim and Mauro Perego, Sandia Approximation of Random Elliptic USA National Laboratories, USA PDEs 3:30-3:50 Climate Change and Water Lorenzo Tamellini and Fabio Nobile, Scarcity EPFL, Switzerland; Raul F. Tempone, Donna Mitchell, Texas Tech University, USA King Abdullah University of Science & Technology (KAUST), Saudi Arabia 3:30-3:50 Title Not Available at Time of Publication Michael S. Eldred, Sandia National Laboratories, USA continued on next page 136 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 Tuesday, March 17 3:05-3:25 Displacement Data Assimilation MS217 MS218 Juan M. Restrepo, Oregon State University, USA; Steven Rosenthal and Shankar C. Computational Benchmarks Inverse Problems and Data Venkataramani, University of Arizona, for Soft Materials and Assimilation - Part III of VI USA; Arthur Mariano, University of Complex Fluids at the 2:15 PM-3:55 PM Miami, USA Mesoscale - Part II of III 3:30-3:50 A Sampling Filter for Non- Room:251 E Gaussian Data Assimilation 2:15 PM-3:55 PM For Part 2 see MS194 Ahmed Attia and Adrian Sandu, Virginia Tech, continued For Part 4 see MS243 USA The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data 2:40-3:00 Efficient Parallel assimilation based on theoretical and Implementation of Implicit SPH/MLS numerical grounds that are relevant for using LAMMPS and Trilinos various scientific and real life applications. Kyungjoo Kim and Mauro Perego, Sandia Topics for the minisymposium include but are National Laboratories, USA; Nathaniel not limited to: Trask, Brown University, USA; Michael 1) deterministic and statistical approaches to L. Parks, Sandia National Laboratories, inversion problems and data assimilation; USA 2) reduced order modeling inversion 3:05-3:25 Classical Density Functional framework; Theory of Charged Fluids at 3) treatment of nonlinear and non-smooth Interfaces processes; Amalie Frischknecht, Sandia National 4) sensitivity analysis and its application to Laboratories, USA adaptive (targeting) observation; 3:30-3:50 Interface Resolved 5) operational data assimilation systems; Numerical Method to Study Electrokinetic Particle Assembly in 6) uncertainties impact studies; Microdevices 7) automatic tools to support inversion and Prashanta Dutta, Washington State data assimilation methodologies. University, USA Organizer: Razvan Stefanescu Virginia Tech, USA Organizer: Adrian Sandu Virginia Tech, USA Organizer: Ionel M. Navon Florida State University, USA Organizer: Dacian N. Daescu Portland State University, USA 2:15-2:35 Bayesian Nonlinear Smoothing and Adaptive Sampling Pierre F.J Lermusiaux and Tapovan Lolla, Massachusetts Institute of Technology, USA 2:40-3:00 An Information Theoretic Approach to Use High-Fidelity Codes to Calibrate Low-Fidelity Codes Allison Lewis and Ralph C. Smith, North Carolina State University, USA; Brian Williams, Los Alamos National Laboratory, USA

continued in next column 2015 SIAM Conference on Computational Science and Engineering 137

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS219 MS220 MS221 Uncertainty Quantification Numerical Methods for Parallel Computing for Partial Methods for Power Grid Multimaterial Flows with Differential Equations on Systems - Part II of II Deforming Boundaries - CPUs, GPUs, and Intel Phi - 2:15 PM-3:05 PM Part II of III Part II of II Room:251 F 2:15 PM-3:55 PM 2:15 PM-3:55 PM For Part 1 see MS195 Room:254 A Room:254 B The properties of many operational and For Part 1 see MS196 For Part 1 see MS197 structural elements of power grid models For Part 3 see MS245 Modern architectures including multi-core are typically known to some degree of Multimaterial flows with deforming CPUs, massively parallel GPUs, and many- certainty. Examples include grid topology boundaries appear in many applications core accelerators such as the 60-core Intel and state, including knowledge of what involving biological flows, medicine, industry, Phi processor offer great opportunities lines are down; model parameters, such as and homeland security. As the number of for speeding up computations. They pose generator/load/line electrical and performance applications grow, so too the amount of significant challenges due to the hybrid characteristics; and operational conditions, research into developing and improving programming models and libraries that need such as renewable generator and load levels. existing numerical methods for deforming to be used, ranging from distributed-memory In this minisymposium we bring together boundary problems in multi-material flows. computing with MPI, multi-threading with modeling contributions for the treatment of In this minisymposium, novel numerical OpenMP, CUDA on GPUs, offloading to the these uncertainties, to improve the design and methods will be presented that address Phi, for instance. This minisymposium will operation of power grids. efficiency and accuracy in adaptive mesh share experiences with parallel code and Organizer: Cosmin Safta refinement algorithms, scalability on high numerical algorithms from fundamental test Sandia National Laboratories, USA performance computing platforms, robust problems over established benchmark codes to interface capturing methods, numerical specialized research code. The minisymposium Organizer: Ali Pinar methods for phase change (freezing, boiling, will start with an overview and contrast of the Sandia National Laboratories, USA evaporation), and numerical methods for architectures and include the opportunity for Organizer: Jean-Paul Watson enforcing boundary conditions at deforming the audience to discuss their own experiences. Sandia National Laboratories, USA boundary interfaces. Organizer: Matthias K. Gobbert 2:15-2:35 Statistical Metrics for Organizer: Mark Sussman University of Maryland, Baltimore County, Assessing Quality of Scenarios for Unit Florida State University, USA USA Commitment and Dispatch Organizer: Frederic G. Gibou Organizer: Ulrich J. Ruede Sarah M. Ryan and Didem Sari, Iowa State University of California, Santa Barbara, USA University of Erlangen-Nuremberg, Germany University, USA Organizer: Feng Xiao 2:15-2:35 Multigrid Solvers on 2:40-3:00 Adaptive Robust Tokyo Institute of Technology, Japan Heterogeneous Architectures Optimization with Dynamic Uncertainty Björn Gmeiner, Daniel Iuhasz, Sebastian Sets for Power System Operations 2:15-2:35 A Robust and Efficient Solver Kuckuk, Markus Stuermer, Harald Andy Sun and Alvaro Lorca, Georgia Institute for Interfacial Multi-phase Flows on Koestler, and Ulrich J. Ruede, University of of Technology, USA Unstructured Grids Feng Xiao, Bin Xie, and Sun Ziyao, Tokyo Erlangen-Nuremberg, Germany Institute of Technology, Japan 2:40-3:00 Speeding Up Sparse 2:40-3:00 Reconstructed Discontinuous Triangular Solution on Multicores and Galerkin (RDG) Method for Multi- GPUs Material Flows on Unstructured Meshes Humayun Kabir, Joshua D. Booth, and Padma Robert Nourgaliev and Sam Schofield, Raghavan, Pennsylvania State University, Lawrence Livermore National Laboratory, USA USA 3:05-3:25 Applications of Distributed 3:05-3:25 A New Incompressibility Methods to Non-Traditional Linear Discretization for a Hybrid Particle Systems Mac Grid Representation with Surface Julian Gilyard, Wake Forest University, USA; Tension Thomas Stitt, Pennsylvania State University, Wen Zheng and Bo Zhu, Stanford University, USA; Oluwapelumi Adenikinju and Joshua USA; Byungmoon Kim, Adobe Systems, Massey, University of Maryland, Baltimore USA; Ronald Fedkiw, Stanford University, County, USA USA 3:30-3:50 General SpMV and SpMM for 3:30-3:50 An Eulerian Projection AMG on GPUs Method for Quasi-Static Elastoplasticity Robert Strzodka, NVIDIA, USA Chris H. Rycroft, Harvard University, USA 138 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS222 MS223 MS224 Industrial Mathematics Hybrid and Multilevel Low-rank Optimization with Education Approaches to Kinetic Applications - Part I of II 2:15 PM-3:55 PM Equations - Part IV of IV 2:15 PM-3:55 PM Room:254 C 2:15 PM-3:55 PM Room:150 DE Organized by the SIAM Education Room:150 AB For Part 2 see MS249 Committee For Part 3 see MS199 Low-rank matrices and tensors are a popular modeling tool in machine learning and an Industrial Mathematics Education takes In recent years, a significant amount of effective approximation class in many high- many forms: internships, mathematical effort has been directed to solving kinetic dimensional problems. At the same time, modeling courses, team projects and research equations. Generally, kinetic equations low-rank approximations can potentially collaborations. This minisymposium will have posed a challenge due to the large lead to significant computational savings present industrial mathematics from multiple phase space associated with the equations, in algorithms that have to deal with large perspectives, such as faculty mentor, industry however algorithmic advances and and dense matrices. This minisymposium liaison and student researcher. advances in computer hardware have made these simulations more tractable. In this showcases recent work in this area by Organizer: Rachel Levy minisymposium, we consider hybrid and focusing on low-rank optimization. The Harvey Mudd College, USA multilevel approaches to solving kinetic applications include subspace tracking, 2:15-2:35 Industrial Mathematics equations. nonlinear programming, tensor completion, and high-dimensional eigenvalue problems, Education at Worcester Polytechnic Organizer: Jeffrey A. Willert Institute while the algorithmic techniques involve Los Alamos National Laboratory, USA Marcel Blais, Worcester Polytechnic greedy algorithms, stochastic optimization, Institute, USA Organizer: Cory Hauck preconditioning, and optimization on Oak Ridge National Laboratory, USA manifolds. 2:40-3:00 A Student Perspective on Industrial Capstones at Harvey Mudd Organizer: Ryan McClarren Organizer: Bart Vandereycken College Texas A&M University, USA Princeton University, USA Elizabeth Schofield, Harvey Mudd College, Organizer: Martin Frank Organizer: Daniel Kressner USA RWTH - Aachen University of Technology, EPFL, Switzerland 3:05-3:25 A New Curriculum in Germany 2:15-2:35 Preconditioned Riemannian Applied and Computational Optimization for Low-Rank Tensor Organizer: Jingmei Qiu Mathematics Equations University of Houston, USA Jeffrey Humpherys, Brigham Young Bart Vandereycken, Princeton University, University, USA 2:15-2:35 A Multigrid Method for USA Two-Dimensional Discrete-Ordinates 3:30-3:50 PIC Math: Preparation for 2:40-3:00 Semi-Supervised Robust Radiation-Transport Calculations Industrial Careers in Mathematical Matrix Completion for Dynamic Jeffery D. Densmore, Daniel Gill, and Justin Sciences Subspace Estimation and Tracking Pounders, Bettis Laboratory, USA Michael Dorff, Brigham Young University, Hassan Mansour, Mitsubishi Electric USA 2:40-3:00 Multilevel Projection Research Laboratories, USA Method for Nonlinear Radiative 3:05-3:25 Low-rank Approximation of Transfer Problems Matrices and Tensors for Dynamical Dmitriy Y. Anistratov, North Carolina State and Optimization Problems University, USA Ivan Oseledets, Denis Kolesnikov, and 3:05-3:25 Multilevel Monte Carlo Mikhail Litsarev, Skolkovo Institute of Methods for Kinetic Equations Science and Technology, Russia Lee F. Ricketson, Courant Institute of 3:30-3:50 Greedy Algorithms for Mathematical Sciences, New York Parametric Eigenvalue Problems University, USA Virginie Ehrlacher, CERMICS, France 3:30-3:50 A Conservative High-Order/ Low-Order Method Based Upon a Non-Conservative High-Order Least Squares Sn Formulation Jacob Peterson and Jim E. Morel, Texas A&M University, USA 2015 SIAM Conference on Computational Science and Engineering 139

Tuesday, March 17 3:05-3:25 Accurate Adaptive Loops Tuesday, March 17 for Finite Deformation Plasticity in MS225 Albany MS226 Brian Granzow, Rensselaer Polytechnic Deployment and Institute, USA; Glen Hansen, Sandia Advances in Multigrid Application of Technologies National Laboratories, USA; Dan A. Methods and Their provided by the FASTMath Ibanez and Mark S. Shephard, Rensselaer Applications - Part II of II Polytechnic Institute, USA Institute - Part II of II 2:15 PM-3:55 PM 3:30-3:50 Variational Multiscale 2:15 PM-3:55 PM Analysis of Stochastic Partial Room:259 Room:258 Differential Equations in Albany For Part 1 see MS202 Onkar Sahni, Jason Li, Jayanth Jagalur- For Part 1 see MS201 Multigrid is the most successful and Mohan, and Assad Oberai, Rensselaer generally-applicable scalable approach The FASTMath SciDAC Institute develops Polytechnic Institute, USA and deploys scalable mathematical to solving problems with a hierarchy algorithms and software tools for reliable of scales in application areas such as simulation of complex physical phenomena. elliptic PDEs, optimization, inversion, and These tools include structured and image processing. Scalable methods are unstructured mesh techniques, linear and increasingly essential as hardware evolution nonlinear solvers, eigensolvers and time and algorithmic advances enable the solution integration methods. Research efforts are of larger scale problems in science and focused on developing a full range of engineering applications. This session brings accurate and robust technologies that support together researchers developing multigrid different application codes specifically those and related methods to assess the state of the employed by the Department of Energy’s art, recent theoretical advances, and novel domain scientists. This minisymposium will applications. place emphasis on application of FASTMath Organizer: Zichao Di tools on SciDAC and related applications. Argonne National Laboratory, USA Speakers will discuss the challenges in different application areas and the impact of Organizer: Maria Emelianenko the latest developments in FASTMath tools. George Mason University, USA Organizer: Onkar Sahni Organizer: Jed Brown Rensselaer Polytechnic Institute, USA Argonne National Laboratory, USA and University of Colorado Boulder, USA Organizer: Lori A. Diachin Lawrence Livermore National Laboratory, 2:15-2:35 Fast Algorithms for Shape Analysis of Planar Objects USA Gunay Dogan, National Institute of 2:15-2:35 Massively Parallel Flow Standards and Technology, USA Simulation using PETSc Michel Rasquin and Benjamin Matthews, 2:40-3:00 Deflation-based Domain University of Colorado Boulder, USA; Decomposition Methods Cameron Smith, Rensselaer Polytechnic Pierre Jolivet, ETH Zürich, Switzerland; Institute, USA; Kenneth Jansen, Frederic Nataf, Laboratoire Jacques-Louis University of Colorado Boulder, USA Lions, France; Christophe Prud’homme, University of Strasbourg, France 2:40-3:00 Albany: A Trilinos-based code for Ice Sheet Simulations and 3:05-3:25 The Auxiliary Space Solvers other Applications and Its Applications Andrew Salinger, Glen Hansen, Irina Lu Wang, Pennsylvania State University, Kalashnikova, Mauro Perego, and Ray S. USA Tuminaro, Sandia National Laboratories, 3:30-3:50 Multiscale Methods for USA Networks Ilya Safro, Clemson University, USA

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Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS227 MS228 MS229 Software Components for Recent Advances in High Efficient Solvers for PDE- Integral Equation Methods - Order Spatial Discretization constrained Optimization - Part IV of IV Methods for PDEs - Part I of II 2:15 PM-3:55 PM Part II of III 2:15 PM-3:55 PM Room:260 A 2:15 PM-3:55 PM Room:151 AB For Part 3 see MS203 Room:260 B For Part 2 see MS252 Due to recent advances in the underlying For Part 1 see MS204 Optimization problems constrained by partial technology, integral equations have become For Part 3 see MS251 differential equations arise in a wide range highly competitive in attacking the most Many complex physical phenomena can be of applications in science and engineering. challenging of elliptic, globally-coupled modeled by partial differential equations and From a computational viewpoint their PDE problems. However, compared to a the numerical simulation of PDEs has been solution pose various challenges. One of standard off-the-shelf finite element methods, an active research area. This minisymposium these challenges is the development of a larger amount of machinery is involved, aims to bring researchers together to discuss efficient solution methods, which must including fast algorithms, preconditioners, the numerical challenges when designing often be adapted to each specific problem and singular quadrature methods. To make high order spatial discretization methods class. The aim of this minisymposium is this theoretically attractive family of methods for time-dependent/static PDEs, with to bring together researchers to report on practically usable, many of these components particular attention on weighted essentially recent developments on efficient methods for need to be readily available in software form. non-oscillatory (WENO) methods and solving PDE-constrained problems. This minisymposium seeks to bring together discontinuous Galerkin (DG) methods. Organizer: Simon W. Funke practitioners and researchers with the goal of Simula Research Laboratory, Norway encouraging exchange of ideas and discovering Organizer: Yuan Liu opportunities for collaboration in this direction. Michigan State University, USA Organizer: Kent-Andre Mardal University of Oslo, and Simula Research Organizer: Timo Betcke Organizer: Qi Tang Laboratory, Norway University College London, United Kingdom Michigan State University, USA Organizer: Marie E. Rognes Organizer: Andreas Kloeckner Organizer: Andrew J. Christlieb Simula Research Laboratory, Norway University of Illinois, USA Michigan State University, USA 2:15-2:35 Nonstandard Sobolev 2:15-2:35 Robust Algorithms for Periodic 2:15-2:35 A Simple Weighted Spaces for Preconditioning Mixed Problems and Evaluation of Layer Essentially Non-oscillatory Limiter Methods Potentials for the Correction Procedure via Walter Zulehner, University of Linz, Austria; Alex H. Barnett, Dartmouth College and Reconstruction (CPR) Framework Jie DU Jie, University of Science and Wolfgang Krendl, Johannes Kepler Simons Foundation, USA; Shravan Technology of China, China; Chi-Wang University Linz, Austria Veerapaneni, University of Michigan, USA; Adrianna Gillman, Rice University, USA; Shu, Brown University, USA; Mengping 2:40-3:00 Preconditioning of Min Hyung Cho, Lin Zhao, and Yuxiang Zhang, University of Science and Active-Set Newton Methods for Liu, Dartmouth College, USA; Bowei Wu Technology of China, China PDE-Constrained Optimal Control and Gary Marple, University of Michigan, 2:40-3:00 Compact-Reconstruction Problems USA; Leslie Greengard, Simons Foundation WENO on Non-uniform Meshes Margherita Porcelli, Valeria Simoncini, and and Courant Institute of Mathematical Kilian Cooley and James Baeder, University Mattia Tani, Universita’ di Bologna, Italy Sciences, New York University, USA of Maryland, USA 3:05-3:25 HPC Methods for Structured 2:40-3:00 Title Not Available at Time of 3:05-3:25 A Compact-Reconstruction Inverse Modeling in Diffusive Publication WENO Scheme with Semi-Implicit Processes Denis Zorin, Courant Institute of Mathematical Time Integration Martin Siebenborn and Volker H. Schulz, Sciences, New York University, USA Debojyoti Ghosh and Emil M. University of Trier, Germany 3:05-3:25 Adaptive Boundary Element Constantinescu, Argonne National 3:30-3:50 Parallel Preconditioning for Methods Laboratory, USA Time-Dependent PDE-Constrained Michael Feischl, Thomas Führer, Gregor 3:30-3:50 Superconvergence Optimization Ganter, Alexander Haberl, and Dirk Properties of Discontinuous Galerkin Eleanor McDonald and Andy Wathen, Praetorius, Vienna University of Technology, Methods Based on Upwind-Biased University of Oxford, United Kingdom Austria Fluxes for Linear Hyperbolic Equations 3:30-3:50 Fast Algorithms for the Daniel Frean, University of East Anglia, Evaluation of Layer Potentials using United Kingdom ‘Quadrature by Expansion’ Andreas Kloeckner, University of Illinois, USA 2015 SIAM Conference on Computational Science and Engineering 141

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS230 MS231 MT4 Advances in Computational Advances in High Level Finite Minitutorial: Lab Skills for Techniques for Coastal Element Systems - Part II of II Scientific Computing - Ocean Modeling - 2:15 PM-3:55 PM Part II of II Part II of II Room:151 G 4:25 PM-6:05 PM 2:15 PM-3:55 PM For Part 1 see MS207 Room:355 Many modern software projects utilize Room:151 DE For Part 1 see MT3 the high level of mathematical abstraction Chair: Greg Wilson, Mozilla Foundation, For Part 1 see MS206 provided by finite element methods to USA Environmental and coastal ocean engineering develop powerful libraries that hide or even models yield complex systems combining automate many practical computational The Software Carpentry project (http:// interdisciplinary techniques. Moreover, their details. Such codes increase programmer software-carpentry.org) has been teaching accurate and efficient simulation requires productivity, decrease potential sources of basic computing skills to scientists and advanced techniques in high performance errors, and simplify the implementation of engineers since 1998. This minitutorial scientific computing. This minisymposium complex calculations such as h/p adaptivity will introduce the tools and techniques that brings together experts to discuss a number and adjoint-based optimization. This have proven most useful, and show how of new ideas for the development, analysis minisymposium will bring together key integrating them can help researchers get and application of this important class of participants from Deal.II, Dune, FEniCS, more done in less time, and with less pain. problems. Specific ideas include the high Dolfin-adjoint, Firedrake and Nektar++ to This two-part minitutorial will introduce resolution modeling of weather extremes such communicate the latest advances in and several widely-used practices in software as hurricane storm surge, wave propogation, applications of such finite element systems. development, explore the empirical evidence climate change, and flood control. showing their benefits (or in some cases the Organizer: David Ham Organizer: Jennifer Proft lack thereof), and describe how researchers Imperial College London, United Kingdom and research teams can adopt them. Some University of Texas at Austin, USA Organizer: Rob Kirby of the work will be hands-on, so participants Organizer: Clint Dawson Baylor University, USA are strongly urged to bring a laptop. University of Texas at Austin, USA Warning: real-world examples may be used. 2:15-2:35 Mesh-Independent 2:15-2:35 Computational Modeling of Convergence for PDE-Constrained Greg Wilson, Mozilla Foundation, USA Storm Surge in Galveston Bay Optimisation Solvers in Dolfin-Adjoint Jennifer Proft, University of Texas at Austin, Simon W. Funke and Magne Nordaas, Simula USA Research Laboratory, Norway 2:40-3:00 Three-Dimensional Coupled 2:40-3:00 Simulating Coupled Wind-Wave and Cohesive Sediment Pressure-Temperature Equations for Transport Modeling in South San Trace Gas Sensors Using FEniCS and Francisco Bay PETSc Oliver Fringer, Stanford University, USA Brian W. Brennan, Baylor University, USA 3:05-3:25 Strengthening the Hurricane 3:05-3:25 Spectral/HP Element Wave and Surge Forecast Guidance Modelling in Nektar++ provided to Coastal Communities in David Moxey, Chris Cantwell, and Spencer North Carolina Sherwin, Imperial College London, United Rosemary Cyriac and J. Casey Dietrich, North Kingdom; Mike Kirby, University of Utah, Carolina State University, USA; Jason USA Fleming, Seahorse Coastal Consulting, USA; Brian Blanton, University of North Carolina, 3:30-3:50 Supporting Modern HPC Chapel Hill, USA; Rick Luettich, University Hardware in the DUNE Framework of North Carolina, Moorehead City, USA Christian Engwer and Fahlke Jorrit, University of Münster, Germany; Steffen 3:30-3:50 Discontinuous Galerkin Müthing, Heidelberg University, Germany Methods for Spectral Wave/Circulation Modeling Jessica Meixner, University of Notre Dame, Coffee Break USA 3:55 PM-4:25 PM Room:255 142 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS167 MS232 MS233 Reconnection-based Educational Applications of Recent Advances in Arbitrary Lagrangian- Agent-Based Modeling Numerical Methods for Eulerian Methods 4:25 PM-6:05 PM Interface Problems - 4:25 PM-6:05 PM Room:355 A Part II of IV Room:259 This minisymposium will focus on 4:25 PM-6:05 PM educational applications of agent-based In numerical simulations of Room:250 A simulations across science and engineering multidimensional fluid flow, the relationship curricula at all levels with a variety of For Part 1 see MS208 of the motion of the computational grid technology environments. Specialized For Part 3 see MS257 to the motion of the fluid is an important Many real world applications are tools such as AgentSheets and NetLogo, issue. The motion of the grid can be chosen characterized by multiple materials and along with Excel and JavaScript templates, arbitrarily. The philosophy of the arbitrary complex fluids, and they often lead to introduce students to agent-based modeling, Lagrangian-Eulerian methodology (ALE) is interface problems. It is imperative to develop computational thinking, and their underlying to exploit this degree of freedom to improve efficient and stable numerical methods for mathematical foundation. College faculty the accuracy and efficiency of the simulation. these problems. Great efforts have been made and high school teachers will demonstrate In talks presented at this minisymposium for solving interface problems and tracing how interesting agent-based simulations new reconnection-based ALE method in the moving interfaces in the past decades. inform students about the content and which mesh allowed to change connectivity However, many challenges, such as the lack method of numerical modeling while is explored. of regularity of physical solutions due to the increasing the number and diversity of discontinuity across interfaces, still hinder the Organizer: Mikhail Shashkov students excited about science. Moreover, development of efficient numerical methods. Los Alamos National Laboratory, USA agent-based modeling enhances student This minisymposium intends to create a forum understanding of computational science and Organizer: J. Michael Owen for researchers from different fields to discuss appreciation of its rich variety of scientific Lawrence Livermore National Laboratory, recent advances on the interface methods and applications. USA their applications. Organizer: Angela B. Shiflet 4:25-4:45 Adaptive Reconnection- Organizer: Xiaoming He Wofford College, USA Based Arbitrary Lagrangian Eulerian Missouri University of Science and Method Organizer: Robert M. Panoff Technology, USA Wurigen Bo and Misha Shashkov, Los Shodor, USA Alamos National Laboratory, USA Organizer: Xiaolin Li 4:25-4:45 Applying Run-Modify-Build State University of New York, Stony Brook, 4:50-5:10 Reconnection ALE in a Templates for Agent-Based Models USA Massively-Parallel, Staggered-Grid, Robert M. Panoff, Shodor, USA Multi-Physics Code 4:25-4:45 Microstructure for Free 4:50-5:10 Teaching Freshman Science David Starinshak, J. Michael Owen, and Surface Flows Using Agent-Based Computational Douglas S. Miller, Lawrence Livermore James G. Glimm, State University of New Laboratories National Laboratory, USA York, Stony Brook, USA George W. Shiflet and Angela B. Shiflet, 5:15-5:35 Multimaterial Simulation in Wofford College, USA 4:50-5:10 A Fictitious Domain Method Reale Framework with a Hybrid Cell Model for Simulating 5:15-5:35 Transitioning from Game Jerome Breil, University of Bordeaux, Motion of Cells in Fluid Flow Design to Simulation Using Agent- France Zhiliang Xu, University of Notre Dame, USA Based Modeling 5:40-6:00 Triangular Metric-Based Fred Gluck, University of Colorado Boulder, 5:15-5:35 Volume-Preserving Adaptive Mesh Adaptation for Compressible USA Moment-of-Fluid Method for Interface Multi-Material Flows in Semi- Tracking 5:40-6:00 NetLogo in the Secondary Lagrangian Coordinates Shengtai Li, Los Alamos National Laboratory, Life Science Classroom Stephane Del Pino, CEA Saclay, France; USA; Hyung T. Ahn, University of Ulsan, Charlotte M. Trout, Retired Isabelle Marmajou, CEA, France South Korea; Mikhail Shashkov, Los Alamos National Laboratory, USA 5:40-6:00 Dissipation and Dispersion Errors of Discontinuous Galerkin Method and Its Application to Level Set Equations Jue Yan, Iowa State University, USA 2015 SIAM Conference on Computational Science and Engineering 143

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS234 MS235 MS236 First Principle Methods Enhancing Software Recent Advances in Model and Applications for Development for Emerging Reduction - Part III of V Computational Materials Platforms using Algorithms 4:25 PM-6:05 PM Science and Chemistry - and Performance Tools Room:250 D Part III of III 4:25 PM-6:05 PM For Part 2 see MS211 4:25 PM-6:05 PM Room:250 C For Part 4 see MS260 Model reduction has become an increasingly Room:250 B Software development needs urgent help to important tool to mitigate the computational For Part 2 see MS209 keep up with the rapidly emerging hardware burden of modeling and simulation in time- First principle electronic structure calculations platforms. With heterogeneity in these critical (e.g., model-predictive control) are among the most challenging and platforms, exploiting hybrid parallelism has and many query (e.g., Bayesian inversion) computationally demanding science and added on to the already existing complexity applications. This minisymposium presents engineering problems. This minisymposium of software development. Newer algorithms, recent advances that address the primary aims at presenting and discussing new auto-tuning and load balancing techniques, challenges facing such methods, such as numerical methods for achieving ever higher and much more are required to exploit the preserving intrinsic problem structure, level of accuracy and efficiency in ground and multi-level concurrency. In this MS, we handling high- dimensional parameter excited density functional theory calculations, will discuss selection of algorithms and spaces, integration with existing simulation and their applications in computational scheduling techniques for accelerator-based codes, stability, optimization and uncertainty materials science and chemistry. We propose codes for numerical linear algebra, the quantification and control. role of performance tools to assist porting to bring together physicists, chemists and Organizer: Kevin T. Carlberg materials scientists who are involved in applications to newer platforms, low-power Sandia National Laboratories, USA improving the numerical development of algorithms and its adaptation on Tilera widely known quantum chemistry and solid- and experimental analysis demonstrating Organizer: Gianluigi Rozza state physics application software packages, methodologies employed to effectively SISSA, International School for Advanced leverage heterogeneous memory subsystems. with mathematicians and computer scientists Studies, Trieste, Italy who are focusing on advancing the required Organizer: Sunita 4:25-4:45 pyMOR - A New Model state-of-the-art mathematical algorithms and Chandrasekaran Order Reduction Software Framework parallel implementation. University of Houston, USA Rene Milk, Mario Ohlberger, Stephan Organizer: Lin Lin Organizer: Barbara Chapman Rave, and Felix Schindler, University of University of California, Berkeley, USA University of Houston, USA Muenster, Germany Organizer: Eric Polizzi 4:25-4:45 Algorithmic Selection, 4:50-5:10 Reduced Basis Methods for University of Massachusetts, Amherst, USA Autotuning, and Scheduling for Option Pricing Organizer: Chao Yang Accelerator-Based Codes for Julien Salomon, CEREMADE Universite Numerical Linear Algebra Paris 9 Dauphine, France; Olena Lawrence Berkeley National Laboratory, USA Piotr Luszczek, University of Tennessee, Burkovska, Technical University of 4:25-4:45 A Parallel Orbital-Updating Knoxville, USA Munich, Germany; Bernard Haasdonk, Approach for Electronic Structure University of Stuttgart, Germany; Barbara 4:50-5:10 Using Performance Tools to Calculations Based on Singularity Wohlmuth, Technical University of Assist Porting to New Platforms Decompositions Munich, Germany Aihui Zhou, Chinese Academy of Sciences, Guido Juckeland, TU Dresden, Germany 5:15-5:35 Adaptivity and Reduced China 5:15-5:35 Toward Heterogeneous Basis Methods Memory Systems for HPC 4:50-5:10 Recent Progress on Quantum Karsten Urban, University of Ulm, Germany Mechanics Embedding Theory Antonio J. Peña, Argonne National Chen Huang, Florida State University, USA Laboratory, USA 5:40-6:00 Reduced Order Models for Patient-Specific Haemodynamics of 5:40-6:00 Algorithmic Adaptations for 5:15-5:35 Towards Predictive Modeling Coronary Artery Bypass Grafts Scalable Community Detection on of Correlation Effects in Many-electron Francesco Ballarin and Elena Faggiano, the Tilera Many-Core Architecture Systems Politecnico di Milano, Italy; Sonia Daniel Chavarria, Howard Lu, and Karol Kowalski, Pacific Northwest National Ippolito, Luigi Sacco Hospital, Italy; Mahantesh Halappanavar, Pacific Laboratory, USA Andrea Manzoni and Alfio Quarteroni, Northwest National Laboratory, USA; École Polytechnique Fédérale de 5:40-6:00 Massively Parallel GW Ananth Kalyanaraman, Washington State Lausanne, Switzerland; Gianluigi Rozza, Calculations for Current and Next- University, USA generation HPC SISSA, International School for Advanced Jack Deslippe, National Energy Research Studies, Trieste, Italy; Roberto Scrofani, Scientific Computing Center, USA Luigi Sacco Hospital, Italy 144 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 5:15-5:35 Spatially Partitioned Tuesday, March 17 Embedded Runge-Kutta Methods MS237 Steven Ruuth, Simon Fraser University, MS238 Canada; David I. Ketcheson, King Advances in Time-stepping Abdullah University of Science & Sparse and Compressible Methods - Part V of V Technology (KAUST), Saudi Arabia; Representations: Theory, Colin B. Macdonald, Oxford University, Algorithms and Applications 4:25 PM-6:05 PM United Kingdom - Part III of III Room:250 E 5:40-6:00 An Accelerated Domain For Part 4 see MS212 Decomposition Method for Time 4:25 PM-6:05 PM Time-stepping methods are numerical Dependent Problems Room:250 F methods for the time evolution of ODEs, Ronald Haynes, Memorial University, For Part 2 see MS213 DAEs, and PDEs in the method-of-lines Newfoundland, Canada By focusing effort on identifying dominant framework. Many applications require terms of a function representation one can specialized time-stepping methods in often accurately approximate the function from order to enhance efficiency or capture limited data. Sparsity detection also referred particular theoretical properties such to as compressed sensing and l1-minimization as positivity, symplecticity, and strong- is one approach that is extremely effective at stability-preservation or practical properties identifying the dominant terms of a function such as parallelization on emerging high- expansion. Recently there have been many performance architectures, component (e.g., advances in l1-minimization including multirate or local time-stepping) and physics strategies for sampling, preconditioning and (IMEX or semi-implicit) splittings based high-dimensional basis selection that attempt on sub-system properties, and reliable error to maximize the accuracy of recovered estimation and control. The talks in this signals whilst minimizing the number of minisymposium will describe recent novel signal samples. This minisymposium presents developments in time-stepping methods recent theoretical results, numerical methods and demonstrate their benefits in practical and applications of sparse approximations, applications. including but not limited to uncertainty Organizer: Emil M. Constantinescu quantification (UQ) and sensitivity analysis (SA). Argonne National Laboratory, USA Organizer: John D. Jakeman Organizer: Michael Guenther Sandia National Laboratories, USA Bergische Universität, Germany Organizer: Khachik Sargsyan Organizer: Adrian Sandu Sandia National Laboratories, USA Virginia Tech, USA 4:25-4:45 Coherence Motivated Organizer: Raymond J. Spiteri Sampling of Polynomial Chaos University of Saskatchewan, Canada Expansions Jerrad Hampton and Alireza Doostan, 4:25-4:45 A Massively Parallel Solver University of Colorado Boulder, USA for the Incompressible Navier--Stokes Equations 4:50-5:10 Sparse Solutions to Large- Raymond J. Spiteri, University of Scale Nonlinear Subsurface Flow Saskatchewan, Canada Inverse Problems Benham Jafarpour and Reza Khaninezhad, 4:50-5:10 Developing a Custom University of Southern California, USA Time Integrator for the Nonlinear Schrödinger Equation for An 5:15-5:35 An Efficient Method for Application in Paraxial Laser the Computation of the Stochastic Propagation Galerkin Projections by Means of Michael Minion, Lawrence Berkeley Tensor Format Representations National Laboratory, USA Alexander Litvinenko, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Mike Espig, RWTH - Aachen University of Technology, Germany; Matthies Hermann G., TU Braunschweig, Germany; W. Hackbusch, Max Planck Institute for Mathematics in the Sciences, Germany 5:40-6:00 Tensor Approximation Methods for Stochastic Problems continued in next column Elmar Zander, Technical University Braunschweig, Germany 2015 SIAM Conference on Computational Science and Engineering 145

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS239 MS240 MS241 Efficient Algorithms for Numerical Methods Linear-Complexity Variational Methods in for High-Dimensional Dense Linear Algebra, Imaging - Part II of II Stochastic and Parametric Parallelization and 4:25 PM-6:05 PM Problems - Part III of V Applications Room:251 A 4:25 PM-6:05 PM 4:25 PM-6:05 PM For Part 1 see MS214 Room:251 B Room:251 C We address recent advances in algorithms For Part 2 see MS215 Many applications in such as quantum for variational methods in imaging with For Part 4 see MS264 chemistry and seismic imaging give rise to a particular focus on non-rigid image Development of scalable numerical methods dense operators. Well-known fast methods registration. We also discuss the use of for the solution of problems with high- (e.g., FMM) for applying or inverting the priors in order to supervise algorithms dimensional stochastic or parametric inputs operators admit an algebraically orientated and provide more plausible results in has been a subject of active research in interpretation. Such an interpretation inspires particular applications. The associated large- computational sciences and engineering. This the study of matrices with a hierarchical scale mathematical problems manifest as is motivated by the need to reduce the issue low-rank structure, which enables linear- formidable, often ill-behaved systems. Key of curse-of-dimensionality, i.e., exponential cost algorithms for performing matrix algorithmic challenges include computational increase of computational complexity, in operations. These operations include complexity, memory consumption, a vast predictive simulation of physical systems matrix-vector multiplication, inversion, number unknowns as well as model and data where accurate specification of governing determinant calculation and several others. uncertainties. We showcase state-of-the-art laws entails a large number of parameters or This minisymposium presents latest techniques in scientific computing to tackle stochastic variables. To this end, several novel advances in the matrix algorithms and their these challenges. approaches based on multi-level, reduced order, parallelization. Organizer: Andreas Mang sparse, and low-rank approximations have Organizer: Jie Chen been recently developed. This minisymposium University of Texas at Austin, USA Argonne National Laboratory, USA presents state-of- the-art in such developments Organizer: George Biros for various aspects of high-dimensional 4:25-4:45 Linear-Cost Storage and University of Texas at Austin, USA computation, including analysis, algorithms, Computation with Kernel Matrices 4:25-4:45 Platform-independent implementation, and applications. Jie Chen, Argonne National Laboratory, USA Description of Image Registration Organizer: Alireza Doostan Algorithms University of Colorado Boulder, USA 4:50-5:10 N-Body Algorithms for Harald Koestler, University of Erlangen- Matrices with Decay: Multiplication, Nuremberg, Germany Organizer: Dongbin Xiu Projection, Inverse Factorization & University of Utah, USA 4:50-5:10 Novel Priors and Algorithms Fock-Exchange for 4d Tracking and Classification of 4:25-4:45 QoI Basis Adaptation Matt Challacombe and Nicolas Bock, Los Cells Roger Ghanem, University of Southern Alamos National Laboratory, USA; Terry Christoph Brune, University of Twente, California, USA; Kenny Chowdhary Haut, University of Colorado Boulder, Netherlands and Habib N. Najm, Sandia National USA Laboratories, USA 5:15-5:35 Incorporating Uncertainty 5:15-5:35 Parallel Structured Direct in MR Images of Glioblastoma when 4:50-5:10 Numerical Methods for Solvers for Nonsymmetric and Leveraging Models to Interpret SPDEs with Levy Jump Processes Indefinite Sparse Matrices Therapeutic Efficacy SPDES: Stochastic and Deterministic Zixing Xin, Purdue University, USA Approaches Andrea Hawkins-Daarud and Kristin R. 5:40-6:00 Solvers for O(N) Electronic Swanson, Northwestern University, USA Mengdi Zheng and George E. Karniadakis, Structure in the Strong Scaling Limit Brown University, USA 5:40-6:00 Parameter Estimation for Nicolas Bock, Los Alamos National Malignant Brain Tumors 5:15-5:35 Optimal Least-Squares Laboratory, USA; Terry Haut, University Amir Gholaminejad and George Biros, Projection: Applications to Uq of Colorado Boulder, USA; Matt University of Texas at Austin, USA Tao Zhou, Chinese Academy of Sciences, Challacombe, Los Alamos National China; Akil Narayan, University of Laboratory, USA; Laxmikant Kale, Massachusetts, Dartmouth, USA; Dongbin University of Illinois at Urbana- Xiu, University of Utah, USA Champaign, USA 5:40-6:00 Computational Complexity of Stochastic Galerkin and Collocation Methods for PDEs with Random Coefficients Nick Dexter, University of Tennessee, USA; Clayton G. Webster and Guannan Zhang, Oak Ridge National Laboratory, USA 146 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 5:15-5:35 Mesoscale Models for Tuesday, March 17 Molecular Solvation: Funny Business MS242 at the Solute-Solvent Interface MS243 Jaydeep Bardhan, Northeastern University, Computational Benchmarks USA; Matthew G. Knepley, University of Inverse Problems and Data for Soft Materials and Chicago, USA Assimilation - Part IV of VI Complex Fluids at the 5:40-6:00 Mesoscopic Modeling of 4:25 PM-6:05 PM Mesoscale - Part III of III Temperature-dependent Properties in Non-isothermal Fluid Systems Room:251 E 4:25 PM-6:05 PM Zhen Li, Yu-Hang Tang, Bruce Caswell, and For Part 3 see MS218 Room:251 D George E. Karniadakis, Brown University, For Part 5 see MS267 USA The aim of this minisymposium is to For Part 2 see MS217 document recent mathematical developments Computational modeling of multiphysical in the field of inverse problems and data processes at the mesoscale is becoming assimilation based on theoretical and increasingly important for applications in numerical grounds that are relevant for micro-/nano-technology, next-generation various scientific and real life applications. battery technology, material assembly and Topics for the minisymposium include but biological systems. In this minisymposium are not limited to: 1) deterministic and we address mathematical modeling along statistical approaches to inversion problems with numerical schemes that can effectively and data assimilation; 2) reduced order capture mesoscale multiphysics such as modeling inversion framework; 3) treatment hydrodynamics, transport, electrostatics and of nonlinear and non-smooth processes; chemical reaction. Desirable features of 4) sensitivity analysis and its application the numerical schemes include robustness, to adaptive (targeting) observation; 5) accuracy, scalability, as well as potential to operational data assimilation systems; 6) cross scales as a multiscaling framework. uncertainties impact studies; 7) automatic The benchmark applications that we are tools to support inversion and data interested in include mixing and separation assimilation methodologies. processes in micro-/nano-channel, semi- permeable membranes, diffusive transport Organizer: Razvan Stefanescu and electrochemical reaction in porous Virginia Tech, USA electrode, colloid and nanoparticle assembly, Organizer: Adrian Sandu as well as macromolecular conformational Virginia Tech, USA change. Organizer: Ionel M. Navon Organizer: Mauro Perego Florida State University, USA Sandia National Laboratories, USA Organizer: Dacian N. Daescu Organizer: Wenxiao Pan Portland State University, USA Pacific Northwest National Laboratory, USA 4:25-4:45 Multi-Scale Data Organizer: Nathaniel Trask Assimilation for Fine-Resolution Brown University, USA Models Organizer: Kyungjoo Kim Zhijin Li, California Institute of Technology, Sandia National Laboratories, USA USA 4:25-4:45 Fluctuating Hydrodynamics 4:50-5:10 Unified Ensemble- Methods for Electrokinetics and Variational Data Assimilation System Capillary Electrophoresis of Charged Milija Zupanski, Colorado State University, Colloids USA Paul J. Atzberger, University of California, 5:15-5:35 Ensemble Kalman Filters Santa Barbara, USA Without Tuning for Large Applications 4:50-5:10 Biomechanics of Red Blood Jeffrey Anderson, National Center for Cells and Related Diseases Atmospheric Research, USA Zhangli Peng, University of Notre Dame, 5:40-6:00 Orthogonal Transformations USA for the Ensemble Kalman Filter Humberto C. Godinez, Earl Lawrence, and Dave Higdon, Los Alamos National Laboratory, USA

continued in next column 2015 SIAM Conference on Computational Science and Engineering 147

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS244 MS245 MS246 Large-Scale and PDE- Numerical Methods for High-level Technical Constrained Optimization Multimaterial Flows with Computing with Julia 4:25 PM-6:05 PM Deforming Boundaries - 4:25 PM-6:05 PM Room:251 F Part III of III Room:254 B We present recent advances in scalable 4:25 PM-6:05 PM Dynamic high-level languages enable solvers for large-scale and PDE-constrained Room:254 A rapid development of expressive and optimization. Special emphasis is placed on easily extensible code and therefore recent developments that extend traditional For Part 2 see MS220 are increasingly popular in science and optimization techniques to matrix-free PDE- Multimaterial flows with deforming engineering. The new and emerging constrained case as well as the development boundaries appear in many applications language Julia aims to overcome some of efficient and scalable solvers for PDE- involving biological flows, medicine, industry, limitations often associated with established constrained optimization under uncertainty. and homeland security. As the number of dynamic languages, most importantly, large applications grow, so too the amount of Organizer: Sven Leyffer computational overhead and imperfect research into developing and improving scaling on parallel computers. This Argonne National Laboratory, USA existing numerical methods for deforming minisymposium covers recent advances and 4:25-4:45 Inexact Primal-Dual Interior boundary problems in multi-material flows. contributions to the Julia language itself as Point Filter Method In this minisymposium, novel numerical well as examples outlining Julia’s potential Victor Zavala, Argonne National Laboratory, methods will be presented that address for the solution of large-scale real-world USA efficiency and accuracy in adaptive mesh problems. refinement algorithms, scalability on high 4:50-5:10 PDE-Constrained performance computing platforms, robust Organizer: Lars Ruthotto Optimization Under Uncertainty interface capturing methods, numerical Emory University, USA for Convection-Diffusion-Reaction methods for phase change (freezing, boiling, Organizer: Chen Jiahao Systems evaporation), and numerical methods for Massachusetts Institute of Technology, USA Bart G. Van Bloemen Waanders, Sandia enforcing boundary conditions at deforming National Laboratories, USA; Harriet Li, boundary interfaces. Organizer: Alan Edelman Massachusetts Institute of Technology, Massachusetts Institute of Technology and Organizer: Mark Sussman USA; Drew P. Kouri and Denis Ridzal, Interactive Supercomputing, Inc., USA Sandia National Laboratories, USA Florida State University, USA 4:25-4:45 Large-Scale 3D 5:15-5:35 An Adaptive Augmented Organizer: Frederic G. Gibou Electromagnetic Imaging Using Julia Lagrangian Method for Large-Scale University of California, Santa Barbara, USA Eldad Haber, University of British Constrained Optimization Organizer: Feng Xiao Columbia, Canada Frank E. Curtis, Lehigh University, USA; Tokyo Institute of Technology, Japan Nicholas I.M. Gould, Rutherford Appleton 4:50-5:10 Distributed and Parallel Laboratory, United Kingdom; Hao Jiang 4:25-4:45 A Moment-of-Fluid Method Computing for Pde Constrained and Daniel Robinson, Johns Hopkins for Computing Solutions to Multi-Phase Optimization in Julia University, USA Flows Lars Ruthotto, Emory University, USA Mark Sussman, Florida State University, USA 5:40-6:00 A Data-Driven Approach to 5:15-5:35 JuMP: Algebraic Modeling PDE-Constrained Optimization Under 4:50-5:10 A Time Splitting Projection of Optimization Problems in Julia Uncertainty Scheme for Compressible Two-Phase Miles Lubin, Iain Dunning, and Joey Drew P. Kouri, Sandia National Flows: Application to the Interaction of Huchette, Massachusetts Institute of Laboratories, USA Bubbles and Droplets with Ultrasound Technology, USA Waves 5:40-6:00 An Extensible Test Matrix Sebastien Tanguy, Universite de Toulouse, Collection for Julia France Weijian Zhang and Nicholas Higham, 5:15-5:35 A Finite-Volume Based University of Manchester, United Formulation for Viscoelastic Two- Kingdom Phase Flows Shahriar Afkhami, New Jersey Institute of Technology, USA 5:40-6:00 Fourth-Order Interface Tracking and Curvature Estimation for An Arbitrary Number of Materials in Two Dimensions Qinghai Zhang and Aaron L. Fogelson, University of Utah, USA 148 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS247 MS248 MS249 Student Days: An Informal Moment Methods for the Low-rank Optimization with Meeting Boltzmann Equation Applications - Part II of II 4:25 PM-6:05 PM 4:25 PM-6:05 PM 4:25 PM-6:05 PM Room:255 D Room:150 AB Room:150 DE This informal session provides opportunities The Boltzmann equation is the fundamental For Part 1 see MS224 for students to meet invited speakers. This model in the kinetic theory. It is useful in a Low-rank matrices and tensors are a popular is your chance to ask research or career number of high-tech fields such as the aircraft modeling tool in machine learning and an questions, or listen to advice provided by the manufacturing and micro-electro-mechanical effective approximation class in many high- experts. Discussions will be conducted in systems. However, the numerical cost of dimensional problems. At the same time, smaller groups; after about 20 minutes, the solving the Boltzmann equation directly in low-rank approximations can potentially groups will change, so you get a chance to large systems is still unaffordable, and the lead to significant computational savings talk to all of the invited speakers present. moment method is one of the important in algorithms that have to deal with large methods to derive simpler models. Recently, and dense matrices. This minisymposium Organizer: Hans De Sterck the research on the moment method is very showcases recent work in this area by University of Waterloo, Canada active. The purpose of this minisymposium is focusing on low-rank optimization. The Organizer: Christopher Johnson to gather most representative researchers and applications include subspace tracking, University of Utah, USA report their progress. It invites speakers from nonlinear programming, tensor completion, different parts of the world and provides a and high-dimensional eigenvalue problems, Organizer: Lois Curfman McInnes good opportunity to exchange ideas. while the algorithmic techniques involve Argonne National Laboratory, USA greedy algorithms, stochastic optimization, Organizer: Zhenning Cai Meet Informally with the CSE15 preconditioning, and optimization on RWTH Aachen University, Germany Co-Chairs and Several Invited manifolds. Speakers Organizer: Zhicheng Hu Organizer: Bart Vandereycken

Hong Kong Polytechnic University, China Princeton University, USA 4:25-4:45 Approximation of the Organizer: Daniel Kressner Boltzmann Equation with the Method of Moments for Low Speed Gas Flow EPFL, Switzerland Xiaojun Gu, David Emerson, and Jianping 4:25-4:45 Exploiting Active Subspaces Meng, STFC Daresbury Laboratory, United for Nonlinear Programming Kingdom Paul Constantine, Colorado School of Mines, USA; David F. Gleich, Purdue 4:50-5:10 A Framework on Moment University, USA Model Reduction for Kinetic Equation Ruo Li, Peking University, China 4:50-5:10 Non-Convex Low-Rank Matrix and Tensor Recovery 5:15-5:35 Numerical Solution of a Yangyang Xu, Rice University, USA Fourteen-Moment Closure for Non- equilibrium Gases 5:15-5:35 Towards an Optimal James McDonald and Amir Baradaran, Scalability in Computing Extreme University of Ottawa, Canada; Boone Eigenpairs of Large Matrices Tensuda and Clinton P. Groth, University of Yin Zhang, Rice University, USA; Zaiwen Toronto, Canada Wen, Peking University, China; Xin Liu, Chinese Academy of Sciences, China 5:40-6:00 Theoretical and Computational Investigations of the 5:40-6:00 Using Stochastic Non-linear Coupled Constitutive Optimization Methods for the Relations (NCCR) Polyadic Decomposition of Large- Anirudh Singh Rana and Rho Shin Myong, Scale Tensors Gyeongsang National University, Korea Nico Vervliet and Lieven De Lathauwer, Katholieke Universiteit Leuven, Belgium 2015 SIAM Conference on Computational Science and Engineering 149

Tuesday, March 17 Tuesday, March 17 Tuesday, March 17 MS250 MS251 MS252 Partitioning for Multiple Recent Advances in High Efficient Solvers for PDE- Constraints and Objectives Order Spatial Discretization constrained Optimization - 4:25 PM-6:05 PM Methods for PDEs - Part II of II Room:258 Part III of III 4:25 PM-6:05 PM Traditional graph and hypergraph partitioners 4:25 PM-6:05 PM Room:151 AB play an important role in computational Room:260 B For Part 1 see MS229 science applications. They enforce a simple For Part 2 see MS228 Optimization problems constrained by partial balance constraint, with per-part workloads differential equations arise in a wide range represented by the sum of vertex weights. Many complex physical phenomena can be modeled by partial differential equations and of applications in science and engineering. Edge weights represent communication costs; From a computational viewpoint their partitioners then minimize a simple cost the numerical simulation of PDEs has been an active research area. This minisymposium solution pose various challenges. One of objective while satisfying the work constraint. these challenges is the development of As applications and architectures evolve, the aims to bring researchers together to discuss the numerical challenges when designing efficient solution methods, which must need for partitioners that enforce multiple often be adapted to each specific problem constraints while trying to satisfy multiple high order spatial discretization methods for time-dependent/static PDEs, with class. The aim of this minisymposium is objectives is increasing. This minisymposium to bring together researchers to report on showcases recent developments in partitioners particular attention on weighted essentially non-oscillatory (WENO) methods and recent developments on efficient methods for that handle multiple constraints and multiple solving PDE-constrained problems. objectives, targetting improved performance discontinuous Galerkin (DG) methods. for diverse applications such as multiscale Organizer: Yuan Liu Organizer: Simon W. Funke mechanics simulations, complex networks, Michigan State University, USA Simula Research Laboratory, Norway sparse matrix-vector multiplication, and Organizer: Qi Tang Organizer: Kent-Andre Mardal hybrid solvers. Michigan State University, USA University of Oslo, and Simula Research Organizer: Karen D. Devine Laboratory, Norway Organizer: Andrew J. Christlieb Sandia National Laboratories, USA Michigan State University, USA Organizer: Marie E. Rognes Organizer: Siva Rajamanickam Simula Research Laboratory, Norway 4:25-4:45 Maximum Principle and Sandia National Laboratories, USA Positivity Preserving Flux Limiters for 4:25-4:45 Accelerated Source- Organizer: Kamesh Madduri High Order Schemes Encoding Full-Waveform Seismic Pennsylvania State University, USA Zhengfu Xu, Michigan Technological Inversion with Additional Constraints University, USA Michael Ulbrich and Christian Boehm, 4:25-4:45 Load Balancing Multiscale Technical University of Munich, Germany Simulations 4:50-5:10 A Seventh Order Hybrid William R. Tobin, Daniel Fovargue, and Weighted Compact Scheme Based 4:50-5:10 PDE-constrained Mark S. Shephard, Rensselaer Polytechnic on WENO Stencil for Hyperbolic Optimization with Local Control Institute, USA Conservation Laws and Boundary Observations: Robust Jun Peng Preconditioners 4:50-5:10 Handling Multiple and Yiqing Shen, Chinese Academy of Sciences, China Ole Løseth Elvetun, Norwegian University of Communication Metrics for Life Sciences, Norway; Bjørn F. Nielsen, Hypergraph Partitioning 5:15-5:35 High-Order Accurate Simula Research Laboratory, Norway Mehmet Deveci and Kamer Kaya, The Ohio Numerical Methods for Elliptic and State University, USA; Bora Ucar, LIP- Parabolic Interface Models 5:15-5:35 Robust Preconditioners for ENS Lyon, France; Umit V. Catalyurek, Yekaterina Epshteyn, University of Utah, PDE-Constrained Optimization with The Ohio State University, USA USA Limited Observation Data Magne Nordaas, Simula Research 5:15-5:35 Towards a Recursive Graph 5:40-6:00 A One-Stage High- Laboratory, Norway; Kent-Andre Mardal, Bipartitioning Algorithm for Well Resolution Constrained Transport University of Oslo, and Simula Research Balanced Domain Decomposition Method for Magnetohydrodynamic Laboratory, Norway; Bjørn F. Nielsen, Equations Astrid Casadei, INRIA Bordeaux Sud-Ouest, Simula Research Laboratory, Norway France; Pierre Ramet, LABRI, Univ Xiao Feng, Michigan State University, USA Bordeaux, France; Jean Roman, INRIA, 5:40-6:00 All-at-once Approach France to Optimal Control Problems Constrained by PDEs with Uncertain 5:40-6:00 Complex Objective Inputs Partitioning of Small-World Networks Akwum Onwunta, Max Planck Institute, Using Label Propagation Magdeburg, Germany; Peter Benner, Max George Slota and Kamesh Madduri, Planck Institute for Dynamics of Complex Pennsylvania State University, USA; Systems, Germany; Martin Stoll, Max Siva Rajamanickam, Sandia National Planck Institute, Magdeburg, Germany Laboratories, USA 150 2015 SIAM Conference on Computational Science and Engineering

Tuesday, March 17 Tuesday, March 17 Wednesday, MS253 MS254 March 18 Turbulence in Wind Turbine Advancements in Wake: Realistic Turbine/ Generalizing Algebraic atmosphere Interaction Multigrid Methods Registration 4:25 PM-5:40 PM 4:25 PM-6:05 PM 7:45 AM-2:30 PM Room:151 DE Room:151 G Room:East Foyer Full-scale horizontal axis wind turbines Recent advances in algebraic multigrid (WTs) operate in atmospheric boundary methods have led to improved solvers for a layer with atmospheric forcings playing an wider range of applications. In this collection Closing Remarks important role on the wake generated behind of talks we highlight some interrelated 8:00 AM-8:15 AM the wind turbine. ABL and WT interactions developments in generalizing interpolation, result in strong wake turbulence that improving coarsening, and enhancing the Room:355 adversely impacts the overall performance setup of multigrid methods. Collectively, of wind turbine. Many studies todate have techniques such as energy minimization and focused on idealistic inflow conditions and adaptivity lead to accelerated convergence IP9 have not included the role of atmospheric for challenging applications. In addition, forcings on the atmosphere on the turbine with careful algorithmic decisions and new Implications of Numerical wake structure. The talks will focus on the theoretical observations, these concepts result and Data Intensive effects of atmospheric stratification on the in a more general framework for algebraic Technology Trends on wake structure. solvers. Scientific Visualization and Organizer: Kiran Bhaganagar Organizer: Luke Olson University of Texas, San Antonio, USA University of Illinois at Urbana-Champaign, Analysis 4:25-4:45 Characterizing Turbulence USA 8:15 AM-9:00 AM in Wind Turbine Wake: Role of Organizer: James Brannick Room:355 Stratification Pennsylvania State University, USA Kiran Bhaganagar, University of Texas, San Chair: Han-Wei Shen, The Ohio State 4:25-4:45 Root-Node Based Algebraic Antonio, USA University, USA Multigrid Technology trends in numerically and data 4:50-5:10 Improved Understanding of Luke Olson, University of Illinois at Urbana- intensive computing have the potential to Atmospheric Stability Effects on Wind Champaign, USA; Jacob B. Schroder, reshape and significantly advance how we Farm Performance Using Large-Eddy Lawrence Livermore National Laboratory, visualize and analyze the results of scientific Simulation USA Cristina L. Archer, Shengbai Xie, and simulations. However, next generation 4:50-5:10 Bootstrap and Adaptive Niranjan Ghaisas, University of Delaware, numerically intensive supercomputers are Methods USA bound by power and storage constraints. James Brannick, Pennsylvania State These require us to transition from standard 5:15-5:35 Les Study of a Large Wind University, USA post-processing visualization and analysis Farm Within a Diurnal Atmospheric 5:15-5:35 Algebraic Multigrid for approaches to intelligent, automated Boundary Layer H-hermitian Matrices in-situ ones. In addition, data intensive Marc Calaf, University of Utah, USA Karsten Kahl, University of Wuppertal, technology trends that support accessing and Germany understanding our data using intuitive, web- based and query-driven interfaces are now 5:40-6:00 Algebraic Multigrid Method the norm. In this talk, I will discuss these for Implicit Smoothed Particle trends and several freely available, open- Hydrodynamics source approaches that leverage them. Xiaozhe Hu, Tufts University, USA; Wenxiao Pan, Pacific Northwest National James Ahrens Laboratory, USA; Jinchao Xu and Los Alamos National Laboratory, USA Hongxuan Zhang, Pennsylvania State University, USA Intermission Business Meeting 9:00 AM-9:10 AM 6:15 PM-7:15 PM Room:355

Complimentary wine and beer will be served.

(Open to SIAG/CSE members) 2015 SIAM Conference on Computational Science and Engineering 151

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 CP1 CP2 CP3 Simulation of Molecular Multigrid Methods Software Tools for Scientific Systems 9:10 AM-10:25 AM Simulation 9:10 AM-10:25 AM Room:355 A 9:10 AM-10:25 AM Room:355 Chair: Matthias Bolten, University of Room:250 A Chair: Martin T. Horsch, University of Wuppertal, Germany Chair: Johannes Grotendorst, Kaiserslautern, Germany 9:10-9:20 Dependance of the Forschungszentrum Jülich, Germany 9:10-9:20 Visualizing Structure in Convergence of Multigrid Methods 9:10-9:20 Symbolic Representation Atomic Systems at High Temperatures on the Used Discretization and Automated Code Generation for Emanuel A. Lazar, Jian Han, and David J. Matthias Bolten, University of Wuppertal, Discontinuous Galerkin Finite Element Srolovitz, University of Pennsylvania, Germany Methods USA 9:25-9:35 On Teh Efficiency of Nathan Sime and Paul Houston, University of Nottingham, United Kingdom 9:25-9:35 Potential-Functional Nonlinear Multigrid Methods Embedding Theory for Seamless Peter K. Jimack, University of Leeds, United 9:25-9:35 Automatic Parallel Multiscale Simulations of Materials Kingdom Programming for Scientific Simulation Chen Huang, Florida State University, USA 9:40-9:50 Robust Multigrid Methods Li Liao, Aiqing Zhang, and Zeyao Mo, Institute of Applied Physics and 9:40-9:50 A Numerical and for Magnetohydrodynamics Computational Mathematics, China Computational Framework for Thomas Benson, Tufts University, USA Hierarchical Multi-Scale/multi-Physics 9:55-10:05 Large-Scale Sparse 9:40-9:50 Distributive Interoperable Simulations Inverse Covariance Estimation Executive Library (diel) for Systems of Jaroslaw Knap, Oleg Borodin, Carrie E. Eran Treister, Javier Turek, and Irad Yavneh, Multiphysics Simulation Spear, Kenneth W. Leiter, David A. Technion Israel Institute of Technology, Kwai L. Wong, University of Tennessee and Powell, and Richard C. Becker, U.S. Army Israel Oak Ridge National Laboratory, USA; Research Laboratory, USA Jason Coan and David White, Maryville 10:10-10:20 Support Graph Smoothing College, USA 9:55-10:05 Amr Strategies for Scft Alyson Fox, University of Colorado Boulder, Algorithm USA 9:55-10:05 PoKiTT: an Efficient, Gaddiel Ouaknin and Frederic G. Gibou, Platform Agnostic Package for University of California, Santa Barbara, Thermodynamics, Kinetics, and USA Transport Properties within PDE Solvers Nathan Yonkee and James C. Sutherland, 10:10-10:20 Computational University of Utah, USA Molecular Engineering: An Emerging Technology in Process Engineering 10:10-10:20 CSE Education at JSC Martin T. Horsch and Stephan Werth, Johannes Grotendorst, Forschungszentrum University of Kaiserslautern, Germany; Jülich, Germany Christoph Niethammer and Colin Glass, High Performance Computing Center Stuttgart, Germany; Wolfgang Eckhardt, Philipp Neumann, and Hans-Joachim Bungartz, Technische Universität München, Germany; Jadran Vrabec, University of Paderborn, Germany; Hans Hasse, University of Kaiserslautern, Germany 152 2015 SIAM Conference on Computational Science and Engineering

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 CP4 CP5 CP6 Parallel Dense Linear Bayesian Methods in Preconditioners for Fluids, Algebra Uncertainty Quantification Structures and Images 9:10 AM-10:10 AM 9:10 AM-10:25 AM 9:10 AM-10:25 AM Room:250 B Room:250 C Room:250 D Chair: Eduardo F. D’Azevedo, Oak Ridge Chair: Isabell Franck, Technical University Chair: Kees Vuik, Delft University of National Laboratory, USA of Munich, Germany Technology, Netherlands 9:10-9:20 Dynamic Runtime 9:10-9:20 Uncertainty Propagation 9:10-9:20 Indefinite Preconditioning of Scheduling for Dense Out-of-Core Using Infinite Mixture of Gaussian the Coupled Stokes-Darcy System Matrix Computation on the Intel Xeon Processes and Variational Bayesian Scott Ladenheim, Temple University, USA; Phi Inference Prince Chidyagwai, Loyola University, Eduardo F. D’Azevedo, Oak Ridge National Peng Chen, Cornell University, USA; USA; Daniel B. Szyld, Temple University, Laboratory, USA; Ben Chan and Terrence Nicholas Zabaras, University of Warwick, USA Chong, Chinese University of Hong United Kingdom; Ilias Bilionis, Purdue 9:25-9:35 A Parallel Linear Solver Kong, Hong Kong; Allan Morales, George University, USA Exploiting the Physical Properties of Washington University, USA; Kwai L. 9:25-9:35 Minimal Set of Mechanisms the Underlying Mechanical Problem Wong, University of Tennessee and Oak Controlling Type I Interferon Kees Vuik, Delft University of Technology, Ridge National Laboratory, USA Differential Signaling Netherlands 9:25-9:35 A Framework for Parallel Pencho Yordanov, Irene Otero-Muras, and 9:40-9:50 Preconditioner Scaling for Fast Matrix Multiplication Joerg Stelling, ETH Zürich, Switzerland Finite Element Models of Turbulent Austin Benson, Stanford University, 9:40-9:50 Probabilistic Mixtures of Air/Water Flow in Coastal and USA; Grey Ballard, Sandia National Local Reduced-Basis Models for Hydraulic Applications Laboratories, USA Uncertainty Quantification Chris Kees and Aron Ahmadia, U.S. Army 9:40-9:50 Optimization of Singular Michael Kraus and Phaedon S. Engineer Research and Development Vectors Computation Koutsourelakis, Technical University of Center, USA; Jed Brown, Argonne Sergey V Kuznetsov, Intel Corporation, Munich, Germany National Laboratory, USA and University Russia; Nadezhda Mozartova, Intel 9:55-10:05 Surrogate-Based Bayesian of Colorado Boulder, USA; Matthew Corporation, USA Model Ranking of Atomistic Farthing, U.S. Army Engineer Research and Development Center, USA; Barry F. 9:55-10:05 Performance Study of a Models Incorporating the Fidelity of Smith, Argonne National Laboratory, USA Randomized Dense Low-Rank Matrix Surrogates Approximation Using Multiple Gpus Hadi Meidani, University of Illinois at 9:55-10:05 A Scalable Newton- Theo Mary, Universite de Toulouse, France; Urbana-Champaign, USA; Mike Kirby Krylov-Schwarz Method for Coupled Ichitaro Yamazaki, Jakub Kurzak, Piotr and Dmitry Bedrov, University of Utah, Fluid-Structure Interaction Problems Luszczek, Stanimire Tomov, and Jack USA Fande Kong and Xiao-Chuan Cai, University J. Dongarra, University of Tennessee, 10:10-10:20 Variational Bayesian of Colorado Boulder, USA Knoxville, USA Formulations for High-Dimensional 10:10-10:20 Data Based Inverse Problems Regularization Methods Isabell Franck and Phaedon S. Thomas K. Huckle, Technische Universität Koutsourelakis, Technical University of München, Germany Munich, Germany 2015 SIAM Conference on Computational Science and Engineering 153

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 CP7 CP8 CP9 Numerical Simulation on Parallel Iterative Numerical PDEs I Accelerators Methods with Reduced 9:10 AM-10:25 AM 9:10 AM-10:25 AM Communication Room:251 A Room:250 E 9:10 AM-10:25 AM Chair: Anna Lischke, Iowa State University, Chair: Erik G. Boman, Sandia National Room:250 F USA Laboratories, USA Chair: Grey Ballard, Sandia National 9:10-9:20 Asymptotic-Preserving 9:10-9:20 Spectral Methods in PDE Laboratories, USA Space-Time Discontinuous Galerkin Solving: a Multi-GPU Framework Schemes for a Class of Relaxation 9:10-9:20 Multigrid Preconditioners Systems Gyula I. Toth, Tatjana Kuztensova, and Bjorn for Communication-Avoiding Krylov Anna Lischke and James A. Rossmanith, Kvamme, University of Bergen, Norway Methods Iowa State University, USA 9:25-9:35 Direct Hierarchical Schur Andrey Prokopenko, Sandia National Method for Nested Dissection Laboratories, USA 9:25-9:35 Universal Meshes for Problems with Moving Boundaries Reordered Linear Systems on Multi- 9:25-9:35 Reducing Communication Evan S. Gawlik and Adrian Lew, Stanford GPUs Costs for Sparse Matrix Multiplication University, USA Cheming Chu, Pochuan Wang, and within Algebraic Multigrid Weichung Wang, National Taiwan Grey Ballard, Jonathan J. Hu, and 9:40-9:50 A Multiscale Finite University, Taiwan Christopher Siefert, Sandia National Volume with Oversampling Method 9:40-9:50 Solving Sparse Linear Laboratories, USA to Simulate Low-Frequency Electromagnetic Geophysical Systems on GPUs Based on the Biell 9:40-9:50 Alpha Setup-Amg: An Storage Format Responses Adaptive Setup Based Amg Solver Luz Angelica A. Caudillo Mata and Eldad Tongxiang Gu, Institute of Applied Physics for Large-Scale Simulations with Long Haber, University of British Columbia, and Computational Mathematics, China; Time-Stepping Cong Zheng, Graduate School of Chinese Canada; Lars Ruthotto, Emory University, Xiaowen Xu, Institute of Applied Physics and USA; Christoph Schwarzbach, University Academy of Engineering Physics, China; Computational Mathematics, China Shou Gu, University of Electronic of British Columbia, Canada Science and Technology of China, China; 9:55-10:05 Avoiding Communication 9:55-10:05 A Computational Shock- Xingping Liu, Institute of Applied Physics and Synchronization in Krylov Tube for Reproducible Computational and Computational Mathematics, China Eigensolvers Experiments in Traumatic Brain Injury Alexander Breuer, Claire Eisner, Jaroslaw 9:55-10:05 Optimizing Structured Grid Mauricio J. Del Razo and Randall LeVeque, Knap, and Kenneth Leiter, U.S. Army University of Washington, USA; David Numerical Simulations for Numa- Research Laboratory, USA Multicore Systems Cook, VA Hospital, USA Zhang Yang, Aiqing Zhang, and Zeyao 10:10-10:20 Scalable Alternative to 10:10-10:20 Numerical Simulations of Mo, Institute of Applied Physics and Domain Decomposition Biological Invasions Computational Mathematics, China David A. Appelhans, Thomas Manteuffel, Shilpa Khatri, University of California, Steve McCormick, and John Ruge, Merced, USA; Anna-Karin Tornberg, KTH 10:10-10:20 Parallel Graph Coloring University of Colorado Boulder, USA for Scientific Computing Royal Institute of Technology, Sweden Erik G. Boman, Sandia National Laboratories, USA 154 2015 SIAM Conference on Computational Science and Engineering

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 CP10 CP11 CP12 Numerical PDEs II Parallel Simulation with Numerical Methods for 9:10 AM-10:25 AM Reduced Communication Statistical Mechanics and Plasmas Room:251 B 9:10 AM-10:25 AM Chair: Saeid Karimi, University of Houston, Room:251 C 9:10 AM-10:25 AM USA Chair: Miles L. Detrixhe, University of Room:251 D 9:10-9:20 Towards a Physically California, Santa Barbara, USA Chair: Paul Cazeaux, EPFL, Switzerland Admissible Implicit-Explicit Splitting 9:10-9:20 Exploring Communication 9:10-9:20 Vlasov-Poisson Simulations for All Froude Number Shallow Water Options with Adaptive Mesh of Magnetized Plasmas Using High- Flows Refinement Order Continuum Methods Seyed Hamed Zakerzadeh and Sebastian Courtenay T. Vaughan and Richard Barrett, Genia Vogman, University of California, Noelle, RWTH Aachen University, Sandia National Laboratories, USA Berkeley, USA; Phillip Colella, Lawrence Germany 9:25-9:35 A Communication Berkeley National Laboratory, USA; Uri 9:25-9:35 High Order Schemes Based Algorithm for the Patch-Based Shumlak, University of Washington, USA on Operator Splitting and Deferred Multiblock Structured Mesh 9:25-9:35 Coarse Multiscale Corrections for Stiff Time Dependent Applications Timestepping for Problems in Plasma Pdes Hong Guo, Institute of Applied Physics and Physics with Equation-Free Projective Max Duarte and Matthew Emmett, Lawrence Computational Mathematics, China Integration Berkeley National Laboratory, USA 9:40-9:50 A Communication Staging Paul Cazeaux, EPFL, Switzerland; Jan 9:40-9:50 Monolithic Multi-Time- Technique for a Hierarchical Ocean Hesthaven, EPFL, France Step Coupling Methods for Transient Model 9:40-9:50 Discontinuous Galerkin Systems Geoff Womeldorff, Chris Newman, Dana Deterministic Solvers of Boltzmann- Saeid Karimi and Kalyana Nakshatrala, Knoll, and Luis Chacón, Los Alamos Poisson Models of Hot Electronic University of Houston, USA National Laboratory, USA Transport Using Empirical 9:55-10:05 A New Lattice Boltzman 9:55-10:05 Scalable Parallel Assembly Pseudopotential Methods Solver on Unstructured Grid and for High-Performance Computing Jose A. Morales Escalante and Irene M. Study of Its Performance with Isogeometric and Higher-Order Gamba, University of Texas at Austin, Weishan Deng, Xiaohe Zhufu, and Jin Xu, Finite Elements USA; Yingda Cheng, Michigan State Chinese Academy of Sciences, China Vasco Varduhn and Dominik Schillinger, University, USA; Armando Majorana, University of Catania, Italy; Chi-Wang 10:10-10:20 Finite-Difference University of Minnesota, USA Shu, Brown University, USA; James Frequency-Domain Analysis of 10:10-10:20 A Parallel Fast Sweeping R. Chelikowsky, University of Texas at Photonic Devices with Periodic Method for Quadtrees and Octrees Austin, USA Structures Based on Domain Miles L. Detrixhe, University of California, Decomposition Santa Barbara, USA 9:55-10:05 Semi-Lagrangian Cheng-Han Du, Pochuan Wang, and Discontinuous Galerkin Schemes Weichung Wang, National Taiwan for the Relativistic Vlasov-Maxwell University, Taiwan System Pierson Guthrey and James A. Rossmanith, Iowa State University, USA 10:10-10:20 Asymptotic-Preserving Scheme for the Fokker-Planck- Landau-Maxwell System in the Quasi- Neutral Regime Stephane Brull, Institut Polytechnique de Bordeaux, France; Bruno Dubroca, d’Humière Emmanuel, and Guisset Sébastien, Universite de Bordeaux I, France 2015 SIAM Conference on Computational Science and Engineering 155

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 CP13 CP14 CP15 Uncertainty Quantification Numerical Methods for Applications to Energy 9:10 AM-10:25 AM Control Problems Systems and Signals Room:251 E 9:10 AM-10:25 AM 9:10 AM-9:40 AM Chair: Uno B. Vaaland, Norwegian Room:251 F Room:254 A University of Science and Technology, Chair: Ana Maria Soane, US Naval Chair: Duncan A. Mcgregor, Oregon State Norway Academy, USA University, USA 9:10-9:20 A Multi-Model Monte Carlo 9:10-9:20 Optimal Order Multigrid 9:10-9:20 Simulation-based Current Framework Based on Ensemble Preconditioners for Linear Systems Estimation in Magnetohydrodynamic Kalman Filtering Arising in the Semismooth Newton Generators Jianxun Wang and Heng Xiao, Virginia Method Solution Process of a Class of Duncan A. Mcgregor, Vrushali Bokil, Tech, USA Control-Constrained Problems and Nathan L. Gibson, Oregon State 9:25-9:35 Detecting Discontinuities Jyoti Saraswat, Thomas More College, University, USA; Charles Woodside, and Localized Features Using USA; Andrei Draganescu, University of National Energy Technology Laboratory, Gaussian Processes Maryland, Baltimore County, USA USA Ilias Bilionis, Purdue University, USA; 9:25-9:35 Multigrid Preconditioners for 9:25-9:35 Fast Supercomputing Nicholas Zabaras, Cornell University, Stochastic Optimal Control Problems Algorithms for Power System USA with Elliptic Spde Constraints Operation and Control 9:40-9:50 Reducing Dimensionality Ana Maria Soane, US Naval Academy, USA Eugene A. Feinberg, Stony Brook Through Active Subspaces, and the 9:40-9:50 Optimal Control of Level University, USA; Bruce Fardanesh, New Effect of Gradient Approximations on Sets York Power Authority, USA; Muqi Li and Roman Samulyak, Stony Brook the Associated Eigenpairs Christopher Basting and Dmitri Kuzmin, University, USA; George Stefopoulos, Uno B. Vaaland, Norwegian University of Technische Universität Dortmund, New York Power Authority, USA; Gaurish Science and Technology, Norway; Paul Germany Constantine, Colorado School of Mines, Telang, Stony Brook University, USA 9:55-10:05 Numerical Realization of USA the Open Pit Mine Planning Problem 9:55-10:05 Parallel Methods for Nikolai Strogies and Andreas Griewank, Accelerated Multilevel Monte Carlo Humboldt University Berlin, Germany for Partial Differential Equations with Random Input 10:10-10:20 Fractional Powers of Finite Element Approximation for An Zane Colgin, Middle Tennessee State Parabolic Optimal Control Problems University, USA Manickam Kandasamy and Periasamy 10:10-10:20 Topology Optimization Prakash, Periyar University, India under Manufacturing Uncertainties Boyan S. Lazarov, Technical University of Denmark, Denmark 156 2015 SIAM Conference on Computational Science and Engineering

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 CP16 CP17 CP18 Applications in Geophysics Incompressible and Low FEM for Fluids and Structures 9:10 AM-10:25 AM Mach-number Fluids 9:10 AM-10:25 AM Room:254 B 9:10 AM-10:25 AM Room:150 AB Chair: Fabian Franzelin, University of Room:254 C Chair: Kathrin Smetana, Massachusetts Stuttgart, Germany Chair: Suchuan Dong, Purdue University, Institute of Technology, USA 9:10-9:20 Data-Driven Uncertainty USA 9:10-9:20 Dual-Mixed Finite Element Quantification with Adaptive Sparse 9:10-9:20 Energy-Stable Open Methods for the Brinkman Problem Grids in Subsurface Flow Simulations Boundary Conditions for Two-Phase Jason Howell, College of Charleston, USA; Fabian Franzelin and Sergey Oldayshkin, Flows Noel J. Walkington, Carnegie Mellon University of Stuttgart, Germany; Suchuan Dong, Purdue University, USA University, USA Benjamin Peherstorfer, Massachusetts 9:25-9:35 Improving the Fluid- 9:25-9:35 Numerical Modeling of Institute of Technology, USA; Dirk Non-Associated Flow Model by Pflüger, Universität Stuttgart, Germany Structure Interaction for Ship Hydrodynamics Successive Convex Optimization: 9:25-9:35 Quantification of Structural Thomas Miras, Fernando A. Rochinha, Application in Incompressible Porous Uncertainty in a Land Surface Model Renato N. Elias, José L.D. Alves, Carlos Media Zhangshuan Hou and Maoyi Huang, Pacific E. Silva, and Alvaro L.G.A. Coutinho, Zahra S. Lotfian and Mettupalayam Northwest National Laboratory, USA; Federal University of Rio de Janerio, Sivaselvan, State University of New York Jaideep Ray and Laura Swiler, Sandia Brazil at Buffalo, USA National Laboratories, USA 9:40-9:50 A Stable Projection Method 9:40-9:50 High-Order Mixed Finite 9:40-9:50 HPC and Model Reduction for the Incompressible Navier-Stokes Elements for a Pressure Poisson Algorithms for Large-Scale Simulation Equations on Arbitrary Geometries Equation Reformulation of the of Stochastic Wave Propagation and Adaptive Quad/oc-Trees Navier-Stokes Equations with Electric Boundary Conditions Models Arthur Guittet, University of California, Mahadevan Ganesh, Colorado School of Santa Barbara, USA Dong Zhou, Temple University, USA; Mines, USA David Shirokoff, New Jersey Institute of 9:55-10:05 A Low Mach Number Technology, USA; Benjamin Seibold, 9:55-10:05 Integration of Geophysical Model for Moist Atmospheric Flows Temple University, USA; Rodolfo R. Fluid Dynamics and Fully 3D Fluid Max Duarte, Ann S. Almgren, and John Rosales, Massachusetts Institute of Dynamics to Simulate Multiphysics B. Bell, Lawrence Berkeley National Technology, USA; Prince Chidyagwai, Coastal Ocean Flows Laboratory, USA Loyola University, USA Hansong Tang, City University of New York, USA; Ke Qu, City College of New York, 10:10-10:20 An Efficient, Pressure 9:55-10:05 A Variational Multi-Scale USA Projection Method for Reacting Low- Approach Using Linear Simplicial Mach Flow Simulations Finite Elements for Transient 10:10-10:20 PDE-Constrained Amir Biglari, Tony Saad, and James C. Viscoelastic Solid Mechanics Optimization Applied to Core Sutherland, University of Utah, USA Xianyi Zeng and Guglielmo Scovazzi, Duke Flooding from Reservoir Engineering University, USA Caleb C. Magruder, Rice University, USA; Jeremy Brandman and Shivakumar 10:10-10:20 Physically Motivated and Kameswaran, ExxonMobil Research, USA Certified Approximation of Large Elastic Structures in Real-Time Kathrin Smetana, Massachusetts Institute of Technology, USA; Phuong Huynh and David Knezevic, Akselos, Switzerland; Anthony T. Patera, Massachusetts Institute of Technology, USA 2015 SIAM Conference on Computational Science and Engineering 157

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 CP19 CP20 CP21 Finite Element Methods Modeling at Molecular Numerical Models for Fluids 9:10 AM-10:25 AM Scales in Physics and 9:10 AM-10:25 AM Room:150 CD Chemistry Room:259 Chair: Emily Evans, Brigham Young 9:10 AM-10:10 AM Chair: TBA University, USA Room:258 9:10-9:20 Brownian and 9:10-9:20 The Weighted Finite Element Chair: Yongyong Cai, Purdue University, Hydrodynamic Motion of Complex Method for Elasticity Problem with USA Shaped Particles in Straight and Singularity Branching Blood Vessels 9:10-9:20 Ground States and Viktor Rukavishnikov, Russian Academy of Yaohong Wang, David Eckmann, Ravi Dynamics of Spin-Orbit-Coupled Sciences, Russia Radhakrish, Helena Vitoshki, and Bose-Einstein Condensates Portonovo Ayyaswamy, University of 9:25-9:35 An Anchored Analysis of Yongyong Cai, Purdue University, USA; Pennsylvania, USA Variance Petrov-Galerkin Projection Weizhu Bao, National University of Scheme for a Class of High Singapore, Singapore 9:25-9:35 An ALE-Phase-Field Method Dimensional Elliptic Partial Differential for Dynamic Wetting of Moving Equations 9:25-9:35 Fractional Schrödinger Particles Matthew T. Li, Christophe Audouze, and Dynamics Pengtao Yue, Virginia Tech, USA Prasanth B. Nair, University of Toronto, Yanzhi Zhang, Missouri University of Science and Technology, USA 9:40-9:50 Interaction Between Canada Toroidal Swimmers in Stokes Flow 9:40-9:50 Hierarchical Hpk-Adaptivity 9:40-9:50 Fast Ewald Summation for Jianjun Huang, Worcester Polytechnic for Isogeometric Analysis Mixed Periodic Boundary Conditions Institute, USA; Lisa J. Fauci, Tulane Based on the Nonuniform Fft Emily Evans and Kevin Tew, Brigham Young University, USA University, USA Franziska Nestler and Michael Pippig, Chemnitz University of Technology, 9:55-10:05 Simulating Non-Dilute 9:55-10:05 A Stencil Based Finite Germany Transport in Porous Media Using a Element Method Tcat-Based Model Johan S. Hysing, Tokyo Institute of 9:55-10:05 Parallel Replica Dynamics Deena H. Giffen, North Carolina State with Spatial Parallelization for a Technology, Japan University, USA Driven System 10:10-10:20 Finite Element Modeling Michael T. Stobb, Juan Meza, and Ashlie 10:10-10:20 Hierarchical Model and Analysis of Invisibility Cloaks with Martini, University of California, Merced, Reduction of the Navier-Stokes Metamaterials USA Equations for Incompressible Flows in Jichun Li, University of Nevada, Las Vegas, Pipes USA Sofia Guzzetti, Emory University, USA; Simona Perotto, Politecnico di Milano, Italy; Alessandro Veneziani, Emory University, USA 158 2015 SIAM Conference on Computational Science and Engineering

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 CP22 CP23 CP24 Stochastic Differential Numerical Methods for Models for Geophysical Equations Conservation Laws Fluids 9:10 AM-10:25 AM 9:10 AM-10:25 AM 9:10 AM-10:25 AM Room:260 A Room:260 B Room:151 AB Chair: Christophe Audouze, University of Chair: Rakesh Kumar, Indian Institute of Chair: Markus Burkow, University of Bonn, Toronto, Canada Technology-Bombay, India Germany 9:10-9:20 Local Polynomial Chaos 9:10-9:20 A Space-Time Finite Volume 9:10-9:20 A Numerical Simulation of Expansion for Linear Differential Differencing Method for Robust the Sediment Dynamics in a Three Equations with High Dimensional Higher Order Schemes for Transport Dimensional Fluid Flow Random Inputs Equations Markus Burkow and Michael Griebel, Yi Chen, Purdue University, USA; Dongbin Yaw Kyei, North Carolina Agricultural and University of Bonn, Germany Technical State University, USA Xiu, University of Utah, USA; John D. 9:25-9:35 Three-Dimensional Wavelet- Jakeman, Sandia National Laboratories, 9:25-9:35 Cubic B-Spline Quasi- Based Adaptive Mesh Refinement USA; Claude Gittelson, ETH Zürich, Interpolation Based Numerical Algorithm for Numerical Simulation Switzerland Scheme for Hyperbolic Conservation of Atmospheric Global Chemical 9:25-9:35 Stochastic Low-Dimensional Laws Transport Modeling of Natural Convection Rakesh Kumar and Sambandam Baskar, Artem N. Semakin and Yevgenii Rastigejev, Using Dynamically Orthogonal Indian Institute of Technology-Bombay, North Carolina A&T State University, USA India Decomposition 9:40-9:50 Free Surface Waves on a Hessameddin Babaee, Massachusetts 9:40-9:50 Lagrangian Particle Method Horizontal Shear Flow Institute of Technology, USA for Complex Flows John P. Mchugh, University of New 9:40-9:50 Anchored ANOVA Petrov- Roman Samulyak, Hsin-Chiang Chen, and Hampshire, USA; Gary Lapham, Maine Galerkin (AAPG) Projection Schemes Wei Li, Stony Brook University, USA Maritime Academy, USA for Parabolic Stochastic Partial 9:55-10:05 A Runge-Kutta 9:55-10:05 Openfoam Implementation Differential Equations Discontinuous Galerkin Method of a New Subgrid-Scale Model for Christophe Audouze and Prasanth B. Nair, for Modeling Storm-Water Flow in Large Eddy Simulation University of Toronto, Canada Networks of Drainage Channels Rukiye Kara, Mimar Sinan Fine Arts 9:55-10:05 Fully Implicit Runge-Kutta Prapti Neupane and Clint Dawson, University, Turkey; Mine Caglar, Koc Methods for Multi-Channel Stiff University of Texas at Austin, USA University, Turkey Stochastic Differential Systems with 10:10-10:20 Space-Time Adaptive 10:10-10:20 Quantifying Scale Coupling Jumps Multiresolution Simulations of the and Energy Pathways in the Ocean Viktor Reshniak and Abdul Khaliq, Middle Compressible Euler Equations Hussein Aluie, University of Rochester, Tennessee State University, USA; Margarete O. Domingues, Instituto Nacional USA; Matthew Hecht, Los Alamos Guannan Zhang, Oak Ridge National de Pesquisas Espaciais, Brazil National Laboratory, USA; Geoffrey Vallis, Laboratory, USA; David A. Voss, Western University of Exeter, United Kingdom Illinois University, USA 10:10-10:20 Variance Reduction in the Simulation of Stochastic Differential Equations David J. Horntrop, New Jersey Institute of Technology, USA 2015 SIAM Conference on Computational Science and Engineering 159

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 CP25 CP26 MS255 Linear Algebra Methods Applications in Featured Minisymposium: 9:10 AM-10:25 AM Computational Science Big Data Analytics Room:151 DE 9:10 AM-10:10 AM 10:55 AM-12:35 PM Chair: Daniel B. Szyld, Temple University, Room:150 G Room:355 USA Chair: William F. Mitchell, National Big data analytics has become a new 9:10-9:20 Efficient Low-Rank Solutions Institute of Standards and Technology, USA paradigm for decision making and knowledge discovery. This minisymposium highlights of Generalized Lyapunov Equations 9:10-9:20 Updating and Downdating four major topics, urban, graph, biomedical, Daniel B. Szyld, Temple University, USA; Techniques for Networks and scientific data analytics in this area. Setephen Shank, Massachusetts Institute Francesca Arrigo, Università degli Studi Urban data analytics harvest the vast amount of Technology, USA; Valeria Simoncini, dell’Insubria, Italy; Michele Benzi, Emory of data collected from smart devices and Universita’ di Bologna, Italy University, USA networks to improve the life of citizens. 9:25-9:35 An Implementation and 9:25-9:35 Using Space Filling Curves Graphs are used to model relationships Analysis of the Refined Projection to Find An Element That Contains a between entities and hence play a central Method For (Jacobi-)Davidson Type Given Point role in big data analytics. Biomedical data Methods William F. Mitchell, National Institute of analytics use data-driven approaches to Lingfei Wu and Andreas Stathopoulos, Standards and Technology, USA enable discovery and find new medical cures. College of William & Mary, USA Scientific data analytics assists scientists to 9:40-9:50 Dynamic Causal Modelling extract knowledge from simulations aiming 9:40-9:50 On a priori and a posteriori of Brain-Behaviour Relationships to solve grand challenge problems. Eigenvalue/eigenvector Error Jean Daunizeau and Lionel Rigoux, Estimates for Nonlinear Eigenvalue Université Pierre et Marie Curie, France Organizer: Han-Wei Shen Problems The Ohio State University, USA Agnieszka Miedlar, Technische Universität 9:55-10:05 Topology Backs Holistic Berlin, Germany; Daniel Kressner, EPFL, Medicine 10:55-11:15 Exploring Big Urban Data Switzerland Fernando Schwartz, University of Tennessee, Claudio T. Silva, New York University, USA USA; Louis Xiang, Chinese University of 9:55-10:05 Lu and Partial 11:20-11:40 Designing Visualizations Hong Kong, Hong Kong; Kwai L. Wong, Orthogonalization Preconditioning for Biological Research University of Tennessee and Oak Ridge for Conjugate Gradient Solution Miriah Meyer, University of Utah, USA National Laboratory, USA of Overdetermined Sparse Least 11:45-12:05 Graph Analytics for Squares Problems Scientific Data Gary W. Howell, North Carolina State Peterka Tom, Argonne National Laboratory, University, USA; Marc Baboulin, INRIA/ Coffee Break USA University of Paris-Sud, France 10:25 AM-10:55 AM 12:10-12:30 Exascale Scientific Data 10:10-10:20 Tensor Rank Prediction Analytics and Visualization Room:355 via Cross Validation Han-Wei Shen, The Ohio State University, Woody N. Austin, University of Texas at USA Austin, USA; Tamara G. Kolda and Todd Plantenga, Sandia National Laboratories, USA 160 2015 SIAM Conference on Computational Science and Engineering

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS256 MS257 MS258 Distributed Cyber-Physical Recent Advances in Streamlining Application Systems: Modelling and Numerical Methods for Performance Portability - Controlling the Power Grid - Interface Problems - Part I of II Part I of II Part III of IV 10:55 AM-12:35 PM 10:55 AM-12:35 PM 10:55 AM-12:35 PM Room:250 B Room:355 A Room:250 A For Part 2 see MS283 Achieving sustainable performance among For Part 2 see MS281 For Part 2 see MS233 different computer architectures often cannot The Power Grid is a geographically For Part 4 see MS282 be addressed with ingenuous combinations distributed cyber-physical system, and its Many real world applications are of compiler optimization options and manual system complexity and the volume of data characterized by multiple materials and rewriting. In contrast, auto-tuning (AT) associated with it are growing. The speakers complex fluids, and they often lead to technologies based, for example, on static in the minisymposium will address recent interface problems. It is imperative to develop modifications (typically pragmas), run- advances in algorithms that accelerate the efficient and stable numerical methods for time optimizations, and source to source performance of software tools developed to these problems. Great efforts have been made transformations have enabled sustained model, optimize, and control the Grid. for solving interface problems and tracing the moving interfaces in the past decades. performance on a variety of computer Organizer: Alex Pothen However, many challenges, such as the lack architectures. As we move towards more Purdue University, USA of regularity of physical solutions due to the complex computer architectures and higher Organizer: Vaithianathan discontinuity across interfaces, still hinder the levels of concurrency, AT is expected to Venkatasubramanian development of efficient numerical methods. play a major role in giving applications a gateway to performance portability. Of Washington State University, USA This minisymposium intends to create a forum for researchers from different fields particular interest is the use of AT in the Organizer: Mahantesh to discuss recent advances on the interface context of kernels that are the core of most Halappanavar methods and their applications. large applications, including linear solvers, Pacific Northwest National Laboratory, USA eigensolvers and stencil computations. Organizer: Xiaoming He In this minisymposium we will discuss 10:55-11:15 Fast Algorithms for Missouri University of Science and AT frameworks and technologies, show Synchrophasor Computations Technology, USA examples of how they have been used in Vaithianathan Venkatasubramanian, Tianying practice, and the corresponding performance Wu, Seyed Arash Sarmadi, and Ebrahim Organizer: Xiaolin Li gains. Rezaei, Washington State University, USA State University of New York, Stony Brook, USA Organizer: Takahiro Katagiri 11:20-11:40 Exploiting Network Laplacian Structure in Power Grid 10:55-11:15 Optimal Energy University of Tokyo, Japan Dynamics Conserving Discontinuous Galerkin Organizer: Toshiyuki Imamura Christopher DeMarco and Honghao Zheng, Methods for the Wave Propagation RIKEN, Japan University of Wisconsin, Madison, USA Problems in Heterogeneous Media Yulong Xing, University of Tennessee and Organizer: Osni A. Marques 11:45-12:05 Distributed Optimization Oak Ridge National Laboratory, USA Lawrence Berkeley National Laboratory, Algorithms for Wide-Area Oscillation USA Monitoring in Power Systems 11:20-11:40 Surface Phase Separation 10:55-11:15 Towards Auto-tuning in Aranya Chakrabortty and Seyedbehzad Mediated by Nonlocal Interactions the Era of 200+ Thread Parallelisms Nabavi, North Carolina State University, Yongcheng Zhou, Colorado State University, --- FIBER Framework and Minimizing USA USA Software Stack --- 12:10-12:30 Probability Density 11:45-12:05 Improvements in the Takahiro Katagiri, Satoshi Ohshima, and Methods for the Analysis of Power Level Set Method with a Focus on Masaharu Matsumoto, University of Grids Under Uncertainty Curvature-Dependent Forcing Tokyo, Japan David A. Barajas-Solano and Alexander Chris Vogl, University of Washington, USA Tartakovsky, Pacific Northwest National 12:10-12:30 A Multi-physics Domain Laboratory, USA; Debojyoti Ghosh, Decomposition Method for Navier- Emil M. Constantinescu, and Shrirang Stokes-Darcy Model Abhyankar, Argonne National Laboratory, Xiaoming He, Missouri University of Science USA; Zhenyu Huang, Pacific Northwest and Technology, USA National Laboratory, USA

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11:20-11:40 Active Harmony: Making Wednesday, March 18 Wednesday, March 18 Autotuning Easy Jeffery Hollingsworth, University of MS259 MS260 Maryland, USA Parallel, Multiscale, Recent Advances in Model 11:45-12:05 The Role of Autotuning Compiler Technology Multiphysics Simulation Reduction - Part IV of V Mary Hall, University of Utah, USA Using MOOSE - Part I of II 10:55 AM-12:35 PM 12:10-12:30 A Framework for 10:55 AM-12:35 PM Room:250 D Separation of Concerns Between Room:250 C Application Requirements and For Part 3 see MS236 System Requirements For Part 2 see MS284 For Part 5 see MS285 Model reduction has become an increasingly Hiroyuki Takizawa, Shoichi Hirasawa, and The Idaho National Laboratory (INL)- important tool to mitigate the computational Hiroaki Kobayashi, Tohoku University, developed Multiphysics Object Oriented burden of modeling and simulation in time- Japan Simulation Environment (MOOSE; www. mooseframework.org), is an open-source, critical (e.g., model-predictive control) parallel computational platform that enables and many query (e.g., Bayesian inversion) the solution of complex, fully-implicit applications. This minisymposium presents multiphysics systems. MOOSE provides a recent advances that address the primary set of computational tools that scientists and challenges facing such methods, such as engineers can use to create sophisticated preserving intrinsic problem structure, multiphysics simulations. Applications built handling high- dimensional parameter using MOOSE have computed solutions for spaces, integration with existing simulation chemical reaction and transport equations, codes, stability, optimization and uncertainty computational fluid dynamics, solid quantification and control. mechanics, heat conduction, mesoscale Organizer: Kevin T. Carlberg materials modeling, geomechanics, and Sandia National Laboratories, USA others. This minisymposium highlights some of the recent results obtained using the Organizer: Gianluigi Rozza MOOSE platform. SISSA, International School for Advanced Studies, Trieste, Italy Organizer: Derek R. Gaston Idaho National Laboratory, USA 10:55-11:15 Model Reduction in Physics-Based Sound Synthesis Organizer: Andrew Slaughter Doug L. James and Timothy Langlois, Idaho National Laboratory, USA Cornell University, USA 10:55-11:15 Computational 11:20-11:40 Reduced-order Models Microstructure Science Using the using Dynamic Mode Decomposition Moose Framework Clarence Rowley, Matthew O. Williams, Bradley Fromm, Daniel Schwen, and Maziar S. Hemati, and Scott Dawson, Michael Tonks, Idaho National Princeton University, USA Laboratory, USA 11:45-12:05 Iterative Solution 11:20-11:40 Microstructural Modeling Techniques in Reduced-order of Fracture in Uranium Dioxide Using Modeling a Phase-Field Based Approach Virginia Forstall and Howard C. Elman, Pritam Chakraborty and Michael Tonks, University of Maryland, College Park, Idaho National Laboratory, USA USA 11:45-12:05 Fission Bubble Modeling 12:10-12:30 Online Adaptive Model in Uranium Carbide Reduction Christopher Matthews and Andrew Klein, Benjamin Peherstorfer and Karen E. Oregon State University, USA Willcox, Massachusetts Institute of 12:10-12:30 Grizzly: A Simulation Tool Technology, USA for Nuclear Power Plant Component Aging Benjamin Spencer, Idaho National Laboratory, USA 162 2015 SIAM Conference on Computational Science and Engineering

Wednesday, March 18 11:45-12:05 Parareal Library for Wednesday, March 18 Time-Dependent PDEs in Medical MS261 Applications MS262 Andreas Kreienbuehl, University of Lugano, Parallel Methods for Time Switzerland; Arne Naegel, Goethe Topology Mapping and Integration - Part I of II University Frankfurt, Germany; Daniel Locality - Part I of II Ruprecht, Universita’ della Svizzera 10:55 AM-12:35 PM Italiana, Italy; Robert Speck, Jülich 10:55 AM-12:35 PM Room:250 E Supercomputing Centre, Germany; Gabriel Room:250 F Wittum, Goethe University Frankfurt, For Part 2 see MS286 For Part 2 see MS287 Germany; Rolf Krause, University of Current trends in supercomputing are leading This two part minisymposium focuses on Lugano, Switzerland towards systems with more, but not faster, topology mapping to improve locality and processors. Therefore, faster compute speeds 12:10-12:30 A Posteriori Analysis of the computational performance, an important must come from greater parallelism and Parareal Algorithm: Efficient Resource issue that will become crucial as system this leads to a bottleneck for sequential Allocation and Convergence Criteria size continues to increase. Specifically time integration. Given this situation, Jehanzeb H. Chaudhry, Florida State we look at the assignment of tasks to interest in achieving parallelism in time has University, USA; Don Estep and Simon allocated processors for an application. In substantially increased in the past decade. A Tavener, Colorado State University, USA this first part, speakers will present results goal of this minisymposium is to survey the for algorithms to improve geometric task breadth of this emerging field and to detail mapping, locality for sparse unstructured recent advances. Eight talks are featured communication patterns, application which bring together experts on four of the performance using dynamic monitoring, most popular current approaches: parareal, and data management. In the second part, spectral deferred correction, multigrid speakers will present results for graph reduction in time and the asymptotic models and dragonfly networks. parallel-in-time approach. Organizer: Vitus Leung Organizer: Jacob B. Schroder Sandia National Laboratories, USA Lawrence Livermore National Laboratory, Organizer: Torsten Hoefler USA University of Illinois, USA Organizer: Ronald Haynes 10:55-11:15 Local Search to Improve Memorial University, Newfoundland, Geometric Task Mapping Canada Vitus Leung, Sandia National Laboratories, Organizer: Scott Maclachlan USA; David Bunde, Knox College, USA Tufts University, USA 11:20-11:40 Demonstrating Improved 10:55-11:15 An Overview of the Application Performance Using Multigrid Reduction in Time (MGRIT) Dynamic Monitoring and Task Method Mapping Stephanie Friedhoff, Katholieke Universiteit Ann Gentile, James Brandt, Karen D. Leuven, Belgium Devine, and Kevin Pedretti, Sandia National Laboratories, USA 11:20-11:40 Multigrid Reduction in Time (MGRIT): A Flexible and Non- 11:45-12:05 Locality for Sparse Intrusive Method Unstructured Communication Patterns Jacob B. Schroder, Robert Falgout, Ulrike Ozan Tuncer, Boston University, USA; Vitus Meier Yang, Tzanio V. Kolev, and Veselin Leung, Sandia National Laboratories, Dobrev, Lawrence Livermore National USA; Ayse Coskun, Boston University, Laboratory, USA; Stephanie Friedhoff, USA Katholieke Universiteit Leuven, Belgium; 12:10-12:30 Topology Aware Process Scott Maclachlan, Tufts University, USA Placement and Data Management Emmanuel Jeannot, INRIA, France

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Wednesday, March 18 Wednesday, March 18 11:45-12:05 Sample-based Low- rank Methods for Tensor-structured MS263 MS264 Parametric Equations Loïc Giraldi, Anthony Nouy, and Olivier Hydrodynamics at Small Numerical Methods Zahm, Ecole Centrale de Nantes, France Scales - Part I of II for High-Dimensional 12:10-12:30 Inverse Subspace 10:55 AM-12:35 PM Stochastic and Parametric Iteration for Spectral Stochastic Finite Problems - Part IV of V Element Methods Room:251 A Bedrich Sousedik, University of Maryland, For Part 2 see MS288 10:55 AM-12:35 PM Baltimore County, USA; Howard C. With the increased interest in nano- and Room:251 B Elman, University of Maryland, College micro-fluidics, as well as biological systems, Park, USA it has become necessary to develop tools for For Part 3 see MS240 hydrodynamic calculations at microscopic For Part 5 see MS289 and mesoscopic scales. This minisymposium Development of scalable numerical methods will focus on advances in multiscale for the solution of problems with high- numerical methods for simulating flows at dimensional stochastic or parametric inputs mesoscopic scales. Of particular interest will has been a subject of active research in be fluctuating hydrodynamics of complex computational sciences and engineering. This fluids such as reactive mixtures, colloidal is motivated by the need to reduce the issue passive and active suspensions, and multi- of curse-of-dimensionality, i.e., exponential phase fluids. Issues to be discussed will increase of computational complexity, include the inclusion of thermal fluctuations in predictive simulation of physical in analytical and computational models, as systems where accurate specification of well as applications in the physical sciences, governing laws entails a large number of biology, and engineering. parameters or stochastic variables. To this end, several novel approaches based on Organizer: Aleksandar Donev multi-level, reduced order, sparse, and low- Courant Institute of Mathematical Sciences, rank approximations have been recently New York University, USA developed. This minisymposium presents 10:55-11:15 Fluctuating state-of- the-art in such developments Hydrodynamic from the Theory of for various aspects of high-dimensional Coarse-Graining computation, including analysis, algorithms, Pep Español, Universidad Nacional de implementation, and applications. Educación a Distancia, Spain Organizer: Dongbin Xiu 11:20-11:40 Fluctuating University of Utah, USA Hydrodynamics of Reactive Organizer: Alireza Doostan Multispecies Mixtures University of Colorado Boulder, USA John B. Bell, Lawrence Berkeley National 10:55-11:15 A Low-Rank Laboratory, USA Approximation Method for 11:45-12:05 Modeling Multi- High-Dimensional Uncertainty Phase Flow Using Fluctuating Quantification Hydrodynamics Alireza Doostan, University of Colorado Anuj Chaudhri and John B. Bell, Lawrence Boulder, USA; Dongbin Xiu, University Berkeley National Laboratory, USA; of Utah, USA; Akil Narayan, University Alejandro Garcia, San Jose State of Massachusetts, Dartmouth, USA; University, USA; Aleksandar Donev, Hillary Fairbanks, University of Colorado Courant Institute of Mathematical Boulder, USA Sciences, New York University, USA 11:20-11:40 Bayesian Compressive 12:10-12:30 Temporal Integrators for Sensing Framework for High- Fluctuating Hydrodynamics Dimensional Surrogate Construction Steven D. Delong, Eric Vanden-Eijnden, Khachik Sargsyan, Cosmin Safta, Bert J. and Aleksandar Donev, Courant Institute Debusschere, and Habib N. Najm, Sandia of Mathematical Sciences, New York National Laboratories, USA University, USA

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Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS265 MS266 MS267 A New Class of Finite Randomized Algorithms in Inverse Problems and Data Element Methods: Weak Numerical Linear Algebra - Assimilation - Part V of VI Galerkin Methods - Part I of II 10:55 AM-12:35 PM Part I of II 10:55 AM-12:35 PM Room:251 E 10:55 AM-12:35 PM Room:251 D For Part 4 see MS243 Room:251 C For Part 2 see MS291 For Part 6 see MS292 Recent work on developing randomized The aim of this minisymposium is to For Part 2 see MS290 matrix algorithms has led to the high- document recent mathematical developments A new class of finite element methods, quality numerical implementations that can in the field of inverse problems and data called weak Galerkin (WG) methods, outperform deterministic methods while assimilation based on theoretical and were recently introduced by Wang and Ye still providing very accurate results. This numerical grounds that are relevant for for some model PDEs with appropriately minisymposium will present randomized various scientific and real life applications. defined variational formulations. The algorithms and software that enhance Topics for the minisymposium include but WGFEMs, by design, make use of numerical linear algebra computations. The are not limited to: 1) deterministic and discontinuous piecewise polynomials on speakers will describe how randomized statistical approaches to inversion problems finite element partitions with arbitrary shape algorithms can accelerate general or and data assimilation; 2) reduced order of polygons and polyhedrons. The WGFEMs structured matrix computations. The modeling inversion framework; 3) treatment have the flexibility in handling complex applications will include the computation of of nonlinear and non-smooth processes; geometry and low regularity solutions, the low-rank approximations, preconditioning 4) sensitivity analysis and its application simplicity in analyzing real-world physical for stochastic gradient algorithms, principal to adaptive (targeting) observation; 5) problems and the symmetry in reformulating component analysis, random butterfly operational data assimilation systems; 6) the original PDEs. The minisymposium aims transformations in sparse linear systems, uncertainties impact studies; 7) automatic to bring together researchers to exchange randomized HSS compressions and fast tools to support inversion and data ideas on development of WGFEMs and generation of random matrices. assimilation methodologies. its applications. The minisymposium pays a particular attention to attract female Organizer: Marc Baboulin Organizer: Razvan Stefanescu participants, graduate students, postdocs and INRIA/University of Paris-Sud, France Virginia Tech, USA junior faculty members. Organizer: Jack J. Dongarra Organizer: Adrian Sandu Organizer: James Liu University of Tennessee, Knoxville, USA Virginia Tech, USA Colorado State University, USA Organizer: Xiaoye Sherry Li Organizer: Ionel M. Navon 10:55-11:15 Weak Galerkin Methods Lawrence Berkeley National Laboratory, Florida State University, USA for Partial Differential Equations USA Organizer: Dacian N. Daescu Xiu Ye, University of Arkansas at Little Portland State University, USA Rock, USA 10:55-11:15 Online Principal Component Analysis 10:55-11:15 Model Reduction and 11:20-11:40 Computational Aspects Christos Boutsidis, Yahoo! Labs, Santa Sensor Placement in a Feedback of Weak Galerkin Methods Clara, USA Flow Control Problem Lin Mu, Michigan State University, USA 11:20-11:40 Implementation of a Fast Jeff Borggaard, Serkan Gugercin, and 11:45-12:05 Weak Galerkin Methods Multifrontal Solver Using Randomized Lizette Zietsman, Virginia Tech, USA for Linear Elasticity Problems HSS Compression 11:20-11:40 Goal-Based Rom Adjoint Shangyou Zhang, University of Delaware, Pieter Ghysels, Francois-Henry Rouet, and for Optimal Sensor Locations and USA Xiaoye Sherry Li, Lawrence Berkeley Data Assimilation 12:10-12:30 Title Not Available at Time National Laboratory, USA Fangxin Fang and Christopher Pain, of Publication 11:45-12:05 Deterministic and Imperial College London, United Mark Burg, Texas A&M University, USA Randomized CUR and Nystrom Kingdom; Ionel M. Navon, Florida State Approximations University, USA; Zhizhao Che, Andrew G. Ilse Ipsen, North Carolina State University, Buchan, Pavlidis Dimitrios, and Dunhui USA Xiao, Imperial College London, United Kingdom 12:10-12:30 Fast Generation of Random Orthogonal Matrices Amal Khabou, Francoise Tisseur, and Nicholas J. Higham, University of Manchester, United Kingdom

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11:45-12:05 Reduced Order Wednesday, March 18 11:20-11:40 A New Atmospheric Modelling (rom) of the Navier-Stokes Dynamic Core using 4th Order Flux Equations for 3D Free Surface Flows MS268 Reconstruction Method with WENO Dunhui Xiao, Fangxin Fang, Christopher Limiting Pain, and Andrew G. Buchan, Imperial Mathematical and Physical Xingliang Li, China Meteorological College London, United Kingdom; Ionel Properties of Numerical Administration, China; Ziyao Sun and M. Navon, Florida State University, USA Schemes for Complex Feng Xiao, Tokyo Institute of Technology, Japan; Chungang Chen, Xi’an Jiaotong 12:10-12:30 Optimized Reduced Dynamical Systems - University, P.R. China; Xueshun Shen, Order Modeling and Data Part I of II China Meteorological Administration, Assimilation for Hydrodynamics with China; Ming Xue, University of Large Time Step Observations 10:55 AM-12:35 PM Oklahoma, USA Diana Bistrian, Politechnic University of Room:251 F Timisoara, Romania; Ionel M. Navon, 11:45-12:05 Higher Order Finite Florida State University, USA For Part 2 see MS293 Volume Approximations of the Stability and convergence are fundamental Inviscid Primitive Equations in a issues in the study of numerical algorithms. Complex Domain Another important aspect is their capability Gung-Min Gie, University of Louisville, of mimicking certain physical properties USA; Arthur Bousquet, YoungJoon Hong, of the target continuous system, such as and Roger M. Temam, Indiana University, energy conversion, or tracer transport. In USA this minisymposium, researchers from 12:10-12:30 Title Not Available at Time different areas in applied and computational of Publication mathematics are invited to present their latest Yau Shu Wong, University of Alberta, results in studies of numerical schemes for Canada complex dynamical system. Finite difference and finite volume schemes are of primary interests here, but finite element methods may also be included. Application areas include but are not limited to aeroelasticity, classical fluid dynamics, and geophysical fluid dynamics. Organizer: Qingshan Chen Clemson University, USA Organizer: Gung-Min Gie University of Louisville, USA 10:55-11:15 Numerical Weather Prediction in Two Dimensions with Topography, using a Finite Volume Method Roger M. Temam and Arthur Bousquet, Indiana University, USA; Mickael Chekroun, University of California, Los Angeles, USA; YoungJoon Hong, Indiana University, USA; Joseph J. Tribbia, National Center for Atmospheric Research, USA

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Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS269 MS270 MS271 Optimization Algorithms Flooding the Cores - Advances in Computational for Power Grid Expansion, Computing Flooding Events Methods for MHD and Multi- Transmission, and with Many-Core and Fluid Models of Plasma - Contingency Analysis Accelerator Technologies - Part I of II 10:55 AM-12:35 PM Part I of II 10:55 AM-12:35 PM Room:254 A 10:55 AM-12:35 PM Room:254 C Next generation power grid requires new Room:254 B For Part 2 see MS295 mathematics and tailored optimization For Part 2 see MS294 Plasmas are ionized gases that appear in algorithms. This minisymposium covers Detailed simulation of flooding events, such a wide range of applications including four different aspects of decision-making as in storm surges, tsunamis or rain floods, astrophysics and space physics, as well as in process in power grid, namely, the expansion requires substantial computing power and laboratory settings such as in magnetically investment, economic dispatch, transmission literally floods the computer with job tasks. confined fusion. Modeling and understanding scheduling, and contingency analysis. We Relevant supercomputing technology, on the the basic phenomenon in plasma have long bring together experts with the goal of other hand, is characterized by an increasing been topics in applied mathematics, yet many presenting recent advances in these areas. amount of parallelism on all scales. Hence, problems remain far too numerically intensive Talks are organized with the emphasis on the numerical methods, algorithms and software for modern parallel computers. The main role of computational tools and optimization need to be tuned for data parallelism, many- difficulty is that plasmas span a wide range algorithms in the development of next core compute nodes (including accelerator of spatial and temporal scales, requiring a generation power grid. technology) and large-scale parallelism. This wide array of computational mathematics tools. This minisymposium aims to describe Organizer: Fu Lin minisymposium thus focuses on approaches recent advances in the development of Argonne National Laboratory, USA to reduce time to solution for simulating complex flooding events on supercomputers numerical methods and computational Organizer: Sven Leyffer and architectures characterized by many-core frameworks for the numerical solution of the Argonne National Laboratory, USA and accelerator technologies, in particular magnetohydrodynamics (MHD) equations and other multi-fluid plasma physics models. Organizer: Todd Munson GPUs and Xeon Phis. Argonne National Laboratory, USA Organizer: Kyle T. Mandli Organizer: James A. Rossmanith Iowa State University, USA 10:55-11:15 Decomposition Columbia University, USA Algorithms for Transmission and Organizer: Michael Bader Organizer: Lucian Ivan Generation Investment Planning TU München, Germany University of Waterloo, Canada Francisco Munoz and Jean-Paul Watson, Organizer: Qi Tang Sandia National Laboratories, USA Organizer: Tobias Weinzierl Durham University, United Kingdom Michigan State University, USA 11:20-11:40 Moment-Based 10:55-11:15 Globally Divergence- Relaxations of the Optimal Power 10:55-11:15 Parallelization Techniques Free Projection Methods for Ideal Flow Problem for Tsunami Simulation Using Space- Magnetohydrodynamics Daniel Molzahn and Ian Hiskens, University Fillig-Curve Orders James A. Rossmanith, Iowa State University, of Michigan, USA Michael Bader and Oliver Meister, TU München, Germany USA 11:45-12:05 Computational 11:20-11:40 Block Adaptive MHD Study of Security-Constrained 11:20-11:40 QuickSched - Using Tasks Simulations for Solar Coronal Economic Dispatch with Multi-Stage for Massively Parallel Hybrid Shared/ Dynamics Rescheduling distributed Memory Computing Rony Keppens, Katholieke Universiteit Yanchao Liu, University of Wisconsin, Pedro Gonnet, University of Oxford, United Leuven, Belgium Madison, USA; Michael C. Ferris, Kingdom University of Wisconsin, USA; Feng 11:45-12:05 Understanding Tsunami 11:45-12:05 Positivity-Preserving Weno Zhao, ISO New England, USA and Hurricane Deposits with a Mess- Schemes with Constrained Transport for Ideal MHD 12:10-12:30 Towards Efficient N-x Scale Model for Sediment Dynamics Qi Tang, Michigan State University, USA Contingency Selection Using Group Robert Weiss and Wei Cheng, Virginia Tech, Betweenness Centrality USA 12:10-12:30 Multi-Fluid Plasma Mahantesh Halappanavar, Yousu Chen, 12:10-12:30 A Patchwork Family - Modeling Through the Collisional and Zhenyu Huang, Pacific Northwest Task Distribution Patterns for Shallow Transition Regime National Laboratory, USA Water Equations on Patch-structured Uri Shumlak, Andrew Ho, Robert Lilly, Sean AMR Grids Miller, Noah F. Reddell, and Eder Sousa, Tobias Weinzierl, Durham University, United University of Washington, USA Kingdom 2015 SIAM Conference on Computational Science and Engineering 167

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS272 MS273 MS274 Recent Advances in Algorithms for the Models and Algorithms for High Order Finite Element Eigenvalue Problem Engineering Optimization Methods for Atmospheric in Electronic Structure Under Uncertainty - Sciences - Part I of II Computations - Part I of II Part I of II 10:55 AM-12:35 PM 10:55 AM-12:35 PM 10:55 AM-12:35 PM Room:150 AB Room:150 DE Room:258 For Part 2 see MS296 For Part 2 see MS297 For Part 2 see MS298 Global and regional models are heavily used The electronic structure of complex quantum Engineering optimization problems are often for weather forecasting, policy decisions mechanical systems is determined by the constrained by large-scale simulations of and as compact laboratories for improving solution of a large number of one-dimensional physical systems. In many applications, the our scientific understanding of the Earth non-linearly coupled Schrodinger equations. parameters and inputs characterizing the system. The next generation of numerical Upon discretization this set of equations physical system are unknown or estimated methods will soon be used for answering translates into Hermitian symmetric from data. When solving such optimization pressing questions on global/regional scale eigenvalue problems. Due to the many problems, it is not only important to interactions, extreme events, and regional existing discretization schemes eigenproblems accurately characterize the uncertainty scale climate change. This minisymposium come in many flavours and their solution and incorporate it in the optimization focuses on the latest advanced developments requires a multidisciplinary approach. This formulation, but to also determine optimal in high(er) order finite element methods minisymposium addresses the eigenproblems solutions that are robust or risk-averse including Discontinuous Galerkin,and high heterogeneity in connection with the rich to this uncertainty. This minisymposium order finite volume methods. The speakers variety of algorithms and implementations presents novel risk models and efficient will address theoretical and computational which are used to solve them. The ultimate algorithms for the treatment of uncertainty in issues such as stability, optimal order goal is to make computational physicists and engineering optimization problems. convergence, sparse discretization, parallel computer scientists aware of the current status Organizer: Bart G. Van Bloemen implementation, (hp)-adaptivity, large-scale of research and scientific advancement. Waanders problems and efficient implementations. Organizer: Edoardo A. Di Napoli Sandia National Laboratories, USA Organizer: Paul Ullrich Jülich Supercomputing Centre, Germany Organizer: Drew P. Kouri University of California, Davis, USA Organizer: Eric Polizzi Sandia National Laboratories, USA Organizer: Tan Bui-Thanh University of Massachusetts, Amherst, USA 10:55-11:15 Integration of University of Texas at Austin, USA Organizer: Yousef Saad Approximate Schur Preconditioners 10:55-11:15 Tempest: Efficient University of Minnesota, USA and SQP Algorithms for Nonlinear PDE Computation of Atmospheric Flows Optimization under Uncertainty 10:55-11:15 Planning the Next Using High-Order Local Discretization Generation of Electronic Structure Denis Ridzal, Drew P. Kouri, and Bart G. Methods Codes Van Bloemen Waanders, Sandia National Paul Ullrich, University of California, Davis, Laboratories, USA James R. Chelikowsky, University of Texas at USA Austin, USA 11:20-11:40 Stochastic Reduced- 11:20-11:40 Vertical Discretization Order Models in Optimization and 11:20-11:40 Updating Strategies of Geophysical Flows with the Inverse Problems for Efficient Large-Scale Electronic Hybrid Finite Element Method - Structure Calculations Wilkins Aquino, Duke University, USA; Normal Mode and Wave Dispersion James Warner, NASA Langley Research Roland Wittmann and Thomas K. Huckle, Properties Center, USA; Mircea Grigoriu, Cornell Technische Universität München, Germany Jorge E. Guerra and Paul Ullrich, University University, USA of California, Davis, USA 11:45-12:05 A Projected 11:45-12:05 Scalable Algorithms for Preconditioned Conjugate Gradient 11:45-12:05 Toward Exa-Scale Optimal Control of Systems Governed Algorithm for Eigenvalue Calculation Computing in CAM-SE by PDEs under Uncertainty Chao Yang and Eugene Vecharynski, David M. Hall and Henry Tufo, University Alen Alexanderian, University of Texas at Lawrence Berkeley National Laboratory, of Colorado Boulder, USA Austin, USA; Noemi Petra, University USA; John Pask, Lawrence Livermore of California, Merced, USA; Georg 12:10-12:30 A High-Order Global National Laboratory, USA Discontinuous Galerkin Non- Stadler, Courant Institute of Mathematical 12:10-12:30 Ongoing Developments Hydrostatic Atmospheric Model Using Sciences, New York University, USA; in BigDFT towards the ab-initio Hevi Time Integration Scheme Omar Ghattas, University of Texas at Computation of Resonant States Ram Nair, National Center for Atmospheric Austin, USA Alessandro Cerioni, Université Grenoble, Research, USA; Lei Bao, University of France; Luigi Genovese, Thierry Deutsch, Colorado Boulder, USA Ivan Duchemin, and Maxime Moriniere, continued on next page CEA, France 168 2015 SIAM Conference on Computational Science and Engineering

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS274 MS275 MS276 Models and Algorithms for Preconditioners for Sparse Advances in Compressed Engineering Optimization Least Squares Sensing and Structured Under Uncertainty - 10:55 AM-12:35 PM Sparse Representations - Part I of II Room:259 Part I of II continued It’s natural to extend concepts and 10:55 AM-12:35 PM techniques used to solve sparse linear Room:260 A systems to solving linear least squares problems. This minisymposium brings For Part 2 see MS300 12:10-12:30 A Scalable together interested researchers with a variety The goal of this minisymposium is to Compositional Approach to of approaches. For the overdetermined case, present recent progress on models and Uncertainty Quantification for the we use iteration methods, e.g. conjugate algorithms for compressed sensing that Optimization under Uncertainty of gradient, improving conditioning of the go beyond the traditional sparsity setting. Multi-physics Systems iterative system by LU factorization and It has long been acknowledged that many Doug Allaire, Texas A&M University, USA; partial orthogonalization, tolerance for which practical applications of compressed sensing Sergio Amaral, Massachusetts Institute depends on estimated conditioning of L. For - ranging from medical sciences to optical of Technology, USA; Kaiyu Li, Texas the over- and underdetermined case, Krylov imaging and wireless communications A&M University, USA; Karen E. Willcox, methods and inner iteration are successfully - possess substantially more structure Massachusetts Institute of Technology, employed. Recursive multilevel techniques than sparsity alone. Leveraging such USA can improve efficiency. Finally, we explore structure presents significant challenges some relevant theory of the conjugate in both the construction of measurements gradient method. (e.g. using tools from communications and optimization) and the design of new, Organizer: Gary W. Howell often probabilistic, algorithms. This North Carolina State University, USA minisymposium will bring together leading 10:55-11:15 A Recursive Multilevel experts in the field to latest research into Approximate Inverse-Based these vital questions. Preconditioner for Solving General Organizer: Ben Adcock Linear Systems Simon Fraser University, Canada Bruno Carpentieri, University of Groningen, Netherlands Organizer: Anders Hansen University of Cambridge, United Kingdom 11:20-11:40 Krylov Subspace Methods Preconditioned by Inner 10:55-11:15 Statistical Methods in Iterations for Rank-Deficient Least Compressive Sensing: Theory and Squares Problems Experiment Keiichi Morikuni and Miroslav Rozloznik, Larry Carin, Duke University, USA Czech Academy of Sciences, Czech 11:20-11:40 Model-Based Sketching Republic; Ken Hayami, National Institute and Recovery with Expanders of Informatics, Japan Luca Baldassarre and Volkan Cevher, École 11:45-12:05 Global Adaptive Polytechnique Fédérale de Lausanne, Dropping in Incomplete Switzerland Factorizations 11:45-12:05 Performance Limits of Miroslav Tuma, Academy of Sciences of the Ideal Decoders in Linear Inverse Czech Republic, Prague, Czech Republic; Problems Jiri Kopal, Technical University of Anthony Bourrier, Gipsa-Lab, France Liberec, Czech Republic; Miro Rozloznik, 12:10-12:30 Practical Compressed Academy of Sciences of the Czech Sensing: On Asymptotic Structure Republic, Prague, Czech Republic Bogdan Roman, University of Cambridge, 12:10-12:30 Recursive Multilevel United Kingdom Approximate Inverse-Based Preconditioning Yiming Bu, University of Electronic Science and Technology of China, China, and University of Groningen, Netherlands; Bruno Carpentieri, University of Groningen, Netherlands 2015 SIAM Conference on Computational Science and Engineering 169

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS277 MS278 MS279 Computational Techniques Advances in Time-Domain Co-Design with Proxy for Wave Equations in Boundary Integral Equations Applications: Results and Second Order Form - - Part I of II Experiences - Part I of II Part I of II 10:55 AM-12:35 PM 10:55 AM-12:35 PM 10:55 AM-12:35 PM Room:151 DE Room:151 G Room:260 B For Part 2 see MS303 For Part 2 see MS304 For Part 2 see MS301 In recent years there has been an increasing Effective use of computing environments Many wave systems are most naturally interest in understanding and enhancing for scientific and engineering applications written in second order form. First order the simulation of linear evolution equations is determined by a combination issues reformulations, though possible, typically (transient waves, Stokes flow, and diffusion) throughout the codesign space: hardware, require additional constraints and more using boundary integral equation (BIE) runtime environment, programming models, variables. Despite this fact, the theory of methods. This minisymposium brings languages and compilers, algorithm choice efficient time-domain discretization schemes together researchers in the field of time- and implementation, and more. Our focus is is better developed in the first order case. domain BIE to enhance relationships and on applications that are large and complex, Speakers in this minisymposium will discuss to discuss current progress and future applying multi-physics at multi-scale, often the generalization of concepts such as trends in theory, computation and advanced with source code distribution constraints. upwinding which are familiar for first order applications. A very wide range of topics are Application proxies enable a language for systems, as well as more traditional methods covered such as fast methods, stable time- codesign, providing a collaborative tool which leverage special features of second stepping strategies (marching-on-in-time and for exploring large-scale high performance order formulations. In addition, special convolution quadrature), well- posedness, scientific computation. Presentations in this techniques for treating high frequency waves and new applications in electromagnetism, minisymposium will describe experiences and random media as well as applications acoustics, elastodynamics, and heat using proxies to explore key issues in to complex physical phenomena will be diffusion. computational science, providing examples considered. Organizer: Nicolas Salles across the codesign spectrum. Organizer: Thomas M. Hagstrom University College London, United Kingdom Organizer: Richard Barrett Southern Methodist University, USA Organizer: Francisco J. J. Sayas Sandia National Laboratories, USA Organizer: Daniel Appelo University of Delaware, USA Organizer: Charles (Bert) H. Still University of New Mexico, USA 10:55-11:15 An Exponentially Lawrence Livermore National Laboratory, USA 10:55-11:15 The Double Absorbing Convergent Convolution Quadrature Boundary Formulation of Complete Method for Time-Domain Boundary 10:55-11:15 Co-Design Studies Using Radiation Boundary Conditions Integral Equations Mini-Multifluid-Ppm Thomas M. Hagstrom, Southern Methodist Nicolas Salles and Timo Betcke, University Paul R. Woodward, University of Minnesota, University, USA College London, United Kingdom USA 11:20-11:40 Performance Analysis of 11:20-11:40 Adaptive Time Domain 11:20-11:40 Multi-Material ALE in the High-Order Discontinuous Galerkin Boundary Element Methods (TD-BEM) Blast Code Methods for First and Second Order for Scattering Problems Vladimir Tomov, Lawrence Livermore

Formulation of the Wave Equation Matthias Maischak and Matthias Gläfke, National Laboratory, USA Brunel University, United Kingdom Δ Julien Diaz, INRIA Bordeaux Sud-Ouest, 11:45-12:05 The -Nabla Time- France 11:45-12:05 Fast Galerkin Method Composite Approach for Multi- 11:45-12:05 Second-Order Wave for Parabolic Space-Time Boundary Physics Applications Productivity Equation with Uncertain Parameters: Integral Equations Jean-Sylvain Camier, CEA, France Johannes Tausch, Southern Methodist Analysis and Computation 12:10-12:30 Overview Co-Design at University, USA Mohammed Motamed, University of New the DOE NNSA Trilabs Mexico, USA 12:10-12:30 Convolution Quadrature Richard Barrett, Sandia National 12:10-12:30 Optimal Energy Discretization of Volume Integral Laboratories, USA Conserving Local Discontinuous Equations Galerkin Methods for Second-Order Peter B. Monk, University of Delaware, USA Wave Equation in Heterogeneous Media Lunch Break Ching-Shan Chou, The Ohio State 12:35 PM-2:00 PM University, USA Attendees on their own 170 2015 SIAM Conference on Computational Science and Engineering

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS280 MS281 MS282 Modeling Across the Distributed Cyber-Physical Recent Advances in Curriculum Systems: Modelling and Numerical Methods for 2:00 PM-3:40 PM Controlling the Power Grid - Interface Problems - Part II of II Part IV of IV Room:355 The second SIAM-NSF Workshop on 2:00 PM-3:40 PM 2:00 PM-3:40 PM Modeling across the curriculum (January, Room:355 A Room:250 A 2014) will be described, and an introduction For Part 1 see MS256 For Part 3 see MS257 to the report will be presented, together with The Power Grid is a geographically Many real world applications are some more recent progress. The meeting distributed cyber-physical system, and its characterized by multiple materials and represented a more focused follow up to system complexity and the volume of data complex fluids, and they often lead to the 2012 workshop. The primary themes associated with it are growing. The speakers interface problems. It is imperative to related to developing courses, programs, in the minisymposium will address recent develop efficient and stable numerical curricula, materials and training for a advances in algorithms that accelerate the methods for these problems. Great efforts stronger emphasis on modeling and applied performance of software tools developed to have been made for solving interface and computational mathematics in the model, optimize, and control the Grid. problems and tracing the moving interfaces early grades, middle and high school, and in the past decades. However, many undergraduate programs. The intention is Organizer: Alex Pothen challenges, such as the lack of regularity of that presentations will be short to allow time Purdue University, USA physical solutions due to the discontinuity for discussion. Organizer: Vaithianathan across interfaces, still hinder the Organizer: Peter R. Turner Venkatasubramanian development of efficient numerical methods. Clarkson University, USA Washington State University, USA This minisymposium intends to create a forum for researchers from different fields 2:00-2:20 Modeling Across the Organizer: Mahantesh Curriculum: Introduction and to discuss recent advances on the interface Halappanavar methods and their applications. Overview Pacific Northwest National Laboratory, USA Peter R. Turner, Clarkson University, USA Organizer: Xiaoming He 2:00-2:20 Exploring State Estimation Missouri University of Science and 2:25-2:45 Mathematical Modeling in Techniques to Accommodate non- Technology, USA the Early Grades Gaussian Noises Rachel Levy, Harvey Mudd College, USA Zhenyu Huang, Pacific Northwest National Organizer: Xiaolin Li 2:50-3:10 Applied and Computational Laboratory, USA; Ning Zhou, Binghamton State University of New York, Stony Brook, Mathematics at the High School University, USA; Mihai Anitescu, Argonne USA National Laboratory, USA; Shaobu Wang, Level 2:00-2:20 Surfactant Driven Pacific Northwest National Laboratory, Katherine Socha, The Park School of Tipstreaming in a Flow Focusing USA Baltimore, USA; Kathleen Fowler, Geometry Clarkson University, USA 2:25-2:45 Efficient Algorithms for N-x Jacek Wrobel, Tulane University, USA; 3:15-3:35 Modeling Across the Contingency Analysis for Power Grids Michael Siegel and Michael R. Booty, Undergraduate Curriculum Alex Pothen and Yu-Hong Yeung, New Jersey Institute of Technology, USA Purdue University, USA; Mahantesh Jeffrey Humpherys, Brigham Young 2:25-2:45 Immersed Finite Element Halappanavar and Zhengyu Huang, Pacific University, USA Methods with Enhanced Stability Northwest National Laboratory, USA Xu Zhang, Purdue University, USA; Tao Lin, 2:50-3:10 Policy-switching Schemes Virginia Tech, USA for Power System Protection 2:50-3:10 A Finite Element Method for Rich Meier, Jesse Hostetler, Eduardo a Stokes Interface Problem Cotilla-Sanchez, and Alan Fern, Oregon Manuel A. Sanchez-Uribe, Brown University, State University, USA USA 3:15-3:35 Singular Values and Convex 3:15-3:35 A Low-dimensional Programming for Power System Approximation to the Stochastic Synchrophasor Data Management Elliptic Interface Problem Joe Chow and Meng Wang, Rensselaer Ju Ming, Beijing Computational Science Polytechnic Institute, USA Research Center, China 2015 SIAM Conference on Computational Science and Engineering 171

Wednesday, March 18 2:50-3:10 Automatic Tuning for Parallel Wednesday, March 18 FFTs on GPU Clusters MS283 Daisuke Takahashi, University of Tsukuba, MS284 Japan Streamlining Application Parallel, Multiscale, 3:15-3:35 Statistical Performance Performance Portability - Modeling and Autotuning for Dense Multiphysics Simulation Using Part II of II QR Factorization in Hybrid CPU-GPU MOOSE - Part II of II Systems 2:00 PM-3:40 PM Ray-Bing Chen, National Cheng Kung 2:00 PM-3:40 PM Room:250 B University, Taiwan; Yaohung Tsai Room:250 C For Part 1 see MS258 and Weichung Wang, National Taiwan For Part 1 see MS259 Achieving sustainable performance among University, Taiwan The Idaho National Laboratory (INL)- different computer architectures often cannot developed Multiphysics Object Oriented be addressed with ingenuous combinations Simulation Environment (MOOSE; www. of compiler optimization options and manual mooseframework.org), is an open-source, rewriting. In contrast, auto-tuning (AT) parallel computational platform that enables technologies based, for example, on static the solution of complex, fully-implicit modifications (typically pragmas), run- multiphysics systems. MOOSE provides a time optimizations, and source to source set of computational tools that scientists and transformations have enabled sustained engineers can use to create sophisticated performance on a variety of computer multiphysics simulations. Applications built architectures. As we move towards more using MOOSE have computed solutions for complex computer architectures and higher chemical reaction and transport equations, levels of concurrency, AT is expected to computational fluid dynamics, solid play a major role in giving applications mechanics, heat conduction, mesoscale a gateway to performance portability. Of materials modeling, geomechanics, and others. particular interest is the use of AT in the This minisymposium highlights some of the context of kernels that are the core of most recent results obtained using the MOOSE large applications, including linear solvers, platform. eigensolvers and stencil computations. Organizer: Derek R. Gaston In this minisymposium we will discuss Idaho National Laboratory, USA AT frameworks and technologies, show examples of how they have been used in Organizer: Andrew Slaughter practice, and the corresponding performance Idaho National Laboratory, USA gains. 2:00-2:20 Modeling Nuclear Fuel Organizer: Toshiyuki Imamura Behavior with BISON RIKEN, Japan Shane Stafford, Idaho National Laboratory, USA Organizer: Takahiro Katagiri University of Tokyo, Japan 2:25-2:45 Low Mach and Two- Phase Flow Modeling with Moose Organizer: Osni A. Marques Applications Lawrence Berkeley National Laboratory, Jean C. Ragusa and Marco Delchini, Texas USA A&M University, USA; Ray A. Berry, Idaho 2:00-2:20 Numerical Eigenvalue National Laboratory, USA Engine towards Extreme-scale 2:50-3:10 Multiphase Sub-Surface Flow Computing Era Using Moose Toshiyuki Imamura, Takeshi Fukaya, and Jonathan Ennis-King, CSIRO, Australia Yusuke Hirota, RIKEN, Japan; Susumu Yamada and Masahiko Machida, Japan 3:15-3:35 Stabilization Methods for High Atomic Energy Agency, Japan Peclet Number Flows in Heterogeneous Porous Media 2:25-2:45 Code Generation for Higher Yidong Xia, Hai Huang, and Robert Level Spectral Methods with Spiral Podgorney, Idaho National Laboratory, Franz Franchetti, Carnegie Mellon USA University, USA

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Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS285 MS286 MS287 Recent Advances in Model Parallel Methods for Time Topology Mapping and Reduction - Part V of V Integration - Part II of II Locality - Part II of II 2:00 PM-3:40 PM 2:00 PM-3:40 PM 2:00 PM-3:40 PM Room:250 D Room:250 E Room:250 F For Part 4 see MS260 For Part 1 see MS261 For Part 1 see MS262 Model reduction has become an increasingly Current trends in supercomputing are leading This two part minisymposium focuses on important tool to mitigate the computational towards systems with more, but not faster, topology mapping to improve locality and burden of modeling and simulation in time- processors. Therefore, faster compute speeds computational performance, an important critical (e.g., model-predictive control) must come from greater parallelism and issue that will become crucial as system and many query (e.g., Bayesian inversion) this leads to a bottleneck for sequential size continues to increase. Specifically we applications. This minisymposium presents time integration. Given this situation, look at the assignment of tasks to allocated recent advances that address the primary interest in achieving parallelism in time has processors for an application. In this second challenges facing such methods, such as substantially increased in the past decade. A part, speakers will present algorithms for preserving intrinsic problem structure, goal of this minisymposium is to survey the graph models and dragonfly networks. In handling high- dimensional parameter breadth of this emerging field and to detail the first part, speakers will present results spaces, integration with existing simulation recent advances. Eight talks are featured for algorithms to improve geometric task codes, stability, optimization and uncertainty which bring together experts on four of the mapping, locality for sparse unstructured quantification and control. most popular current approaches: parareal, communication patterns, application spectral deferred correction, multigrid performance using dynamic monitoring, and Organizer: Kevin T. Carlberg reduction in time and the asymptotic data management. Sandia National Laboratories, USA parallel-in-time approach. Organizer: Vitus Leung Organizer: Gianluigi Rozza Organizer: Jacob B. Schroder Sandia National Laboratories, USA SISSA, International School for Advanced Lawrence Livermore National Laboratory, Organizer: Torsten Hoefler Studies, Trieste, Italy USA University of Illinois, USA 2:00-2:20 Reassessing the Missing Organizer: Ronald Haynes Point Estimation Model Order 2:00-2:20 Process Mapping onto Reduction Method Memorial University, Newfoundland, Complex Architectures and Partitions Julien Cortial, Safran, Research & Canada Thereof Technology Center, France; Kevin T. Organizer: Scott Maclachlan Francois Pellegrini, University of Bordeaux, Carlberg, Sandia National Laboratories, Tufts University, USA France USA 2:00-2:20 Towards a Multigrid 2:25-2:45 Topology Aware Mapping 2:25-2:45 Parsimonious Data Perspective of MLSDC using Graph Models for Exascale Acquisition for Data-driven Model Dieter Moser and Robert Speck, Jülich Systems Reduction Supercomputing Centre, Germany; Mehmet Deveci, The Ohio State University, Geoffrey M. Oxberry, Lawrence Livermore Matthias Bolten, University of Wuppertal, USA; Kamer Kaya, CERFACS, France; National Laboratory, USA Germany Umit V. Catalyurek, The Ohio State University, USA 2:50-3:10 An Adaptive Parametrized- 2:25-2:45 An Adaptive Spectral Background Data-Weak Approach to Deferred Time Integrator for Vesicle 2:50-3:10 Maximizing Throughput on State Estimation; Application to Heat Suspensions a Dragonfly Network Transfer Companion Experiments Bryan D. Quaife and George Biros, Abhinav Bhatele, Lawrence Livermore Tommaso Taddei, Masayuki Yano, University of Texas at Austin, USA National Laboratory, USA; Nikhil Jain, James Penn, and Anthony T. Patera, University of Illinois, USA; Xiang Ni and 2:50-3:10 Interweaving PFASST and Massachusetts Institute of Technology, Laxmikant V Kale, University of Illinois Parallel Multigrid USA at Urbana-Champaign, USA Matthias Bolten, University of Wuppertal, 3:15-3:35 Reduced Basis Methods for Germany; Michael Minion, Lawrence Variational Inequalities Berkeley National Laboratory, USA; Silke Glas, University of Ulm, Germany Robert Speck, Jülich Supercomputing Centre, Germany; Matthew Emmett, Lawrence Berkeley National Laboratory, USA; Daniel Ruprecht, Universita’ della Svizzera Italiana, Italy 3:15-3:35 Parallel in Time Multigrid for Nonlinear Equations Ben O’Neill, University of Colorado Boulder, USA 2015 SIAM Conference on Computational Science and Engineering 173

Wednesday, March 18 Wednesday, March 18 3:15-3:35 High-Dimensional Hierarchical Uncertainty MS288 MS289 Quantification for Electronic Systems Zheng Zhang, Massachusetts Institute of Hydrodynamics at Small Numerical Methods Technology, USA; Xiu Yang, Pacific Scales - Part II of II for High-Dimensional Northwest National Laboratory, USA; Stochastic and Parametric George E. Karniadakis, Brown University, 2:00 PM-3:40 PM USA; Ivan Oseledets, Skolkovo Institute Room:251 A Problems - Part V of V of Science and Technology, Russia; Luca Daniel, Massachusetts Institute of For Part 1 see MS263 2:00 PM-3:40 PM Technology, USA With the increased interest in nano- and Room:251 B micro-fluidics, as well as biological systems, it has become necessary to develop tools for For Part 4 see MS264 hydrodynamic calculations at microscopic Development of scalable numerical methods and mesoscopic scales. This minisymposium for the solution of problems with high- will focus on advances in multiscale dimensional stochastic or parametric inputs numerical methods for simulating flows at has been a subject of active research in mesoscopic scales. Of particular interest will computational sciences and engineering. This be fluctuating hydrodynamics of complex is motivated by the need to reduce the issue fluids such as reactive mixtures, colloidal of curse-of-dimensionality, i.e., exponential passive and active suspensions, and multi- increase of computational complexity, phase fluids. Issues to be discussed will in predictive simulation of physical include the inclusion of thermal fluctuations systems where accurate specification of in analytical and computational models, as governing laws entails a large number of well as applications in the physical sciences, parameters or stochastic variables. To this biology, and engineering. end, several novel approaches based on multi-level, reduced order, sparse, and low- Organizer: Aleksandar Donev rank approximations have been recently Courant Institute of Mathematical Sciences, developed. This minisymposium presents New York University, USA state-of- the-art in such developments 2:00-2:20 Colloidal Dispersions for various aspects of high-dimensional Sheared at Constant Pressure computation, including analysis, algorithms, John F. Brady, California Institute of implementation, and applications. Technology, USA Organizer: Alireza Doostan 2:25-2:45 Fluctuating Hydrodynamics University of Colorado Boulder, USA Methods for Soft Materials Organizer: Dongbin Xiu Paul J. Atzberger, University of California, University of Utah, USA Santa Barbara, USA 2:00-2:20 Gaussian Processes in High- 2:50-3:10 An Immersed Boundary Dimensions Method for Rigid Bodies Ilias Bilionis, Purdue University, USA; Bakytzhan Kallemov and Aleksandar Nicholas Zabaras, Cornell University, Donev, Courant Institute of Mathematical USA Sciences, New York University, USA; Boyce Griffith, University of North 2:25-2:45 Adaptive Multivariate Carolina at Chapel Hill, USA; Amneet Interpolation Algorithm on Nested Bhalla, Courant Institute of Mathematical Grids and Its Application to Sciences, New York University, USA Stochastic Collocation Xueyu Zhu, Yeonjong Shin, and Dongbin 3:15-3:35 A Fluctuating Immersed Xiu, University of Utah, USA Boundary Method for Brownian Suspensions of Rigid Particles 2:50-3:10 Numerical Solution for the Aleksandar Donev and Bakytzhan Kallemov, High-Dimensional Joint Response- Courant Institute of Mathematical Excitation Pdf Evolution Equations Sciences, New York University, USA; Heyrim Cho, Daniele Venturi, and George E. Boyce Griffith, University of North Karniadakis, Brown University, USA Carolina at Chapel Hill, USA; Steven D. Delong, Courant Institute of Mathematical Sciences, New York University, USA

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Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS290 MS291 MS292 A New Class of Finite Randomized Algorithms in Inverse Problems and Data Element Methods: Weak Numerical Linear Algebra - Assimilation - Part VI of VI Galerkin Methods - Part II of II 2:00 PM-3:40 PM Part II of II 2:00 PM-3:40 PM Room:251 E 2:00 PM-3:40 PM Room:251 D For Part 5 see MS267 The aim of this minisymposium is to document Room:251 C For Part 1 see MS266 Recent work on developing randomized recent mathematical developments in the field For Part 1 see MS265 matrix algorithms has led to the high-quality of inverse problems and data assimilation A new class of finite element methods, numerical implementations that can outperform based on theoretical and numerical grounds called weak Galerkin (WG) methods, deterministic methods while still providing that are relevant for various scientific were recently introduced by Wang and Ye very accurate results. This minisymposium and real life applications. Topics for the for some model PDEs with appropriately will present randomized algorithms and minisymposium include but are not limited to: defined variational formulations. The software that enhance numerical linear algebra 1) deterministic and statistical approaches to WGFEMs, by design, make use of computations. The speakers will describe inversion problems and data assimilation; discontinuous piecewise polynomials on how randomized algorithms can accelerate finite element partitions with arbitrary shape 2) reduced order modeling inversion general or structured matrix computations. of polygons and polyhedrons. The WGFEMs framework; The applications will include the computation have the flexibility in handling complex 3) treatment of nonlinear and non-smooth of low-rank approximations, preconditioning geometry and low regularity solutions, the processes; for stochastic gradient algorithms, principal simplicity in analyzing real-world physical component analysis, random butterfly 4) sensitivity analysis and its application to problems and the symmetry in reformulating transformations in sparse linear systems, adaptive (targeting) observation; the original PDEs. The minisymposium aims randomized HSS compressions and fast 5) operational data assimilation systems; to bring together researchers to exchange generation of random matrices. ideas on development of WGFEMs and 6) uncertainties impact studies; its applications. The minisymposium pays Organizer: Marc Baboulin 7) automatic tools to support inversion and a particular attention to attract female INRIA/University of Paris-Sud, France data assimilation methodologies. participants, graduate students, postdocs and Organizer: Jack J. Dongarra junior faculty members. Organizer: Razvan Stefanescu University of Tennessee, Knoxville, USA Virginia Tech, USA Organizer: James Liu Organizer: Xiaoye Sherry Li Colorado State University, USA Organizer: Adrian Sandu Lawrence Berkeley National Laboratory, USA Virginia Tech, USA 2:00-2:20 Multiscale Weak Galerkin Methods 2:00-2:20 Preconditioning Stochastic Organizer: Ionel M. Navon Gradient Algorithms with Randomized Yalchin Efendiev, Texas A&M University, Florida State University, USA Linear Algebra USA Michael Mahoney, University of California, Organizer: Dacian N. Daescu 2:25-2:45 Overview of Weak Galerkin Berkeley, USA Portland State University, USA Methods 2:25-2:45 Randomized Methods 2:00-2:20 Challenges in Assimilation Junping Wang, National Science Foundation, for Accelerating Structured Matrix of PM2.5 Observations for Air Pollution USA Computations Forecast 2:50-3:10 BDDC Domain Gunnar Martinsson, University of Colorado Jiang JZhu, Chinese Academy of Sciences, Decomposition for Weak Galerkin Boulder, USA China Methods 2:50-3:10 Using Random Butterfly 2:25-2:45 Inversion of Geothermal Heat Xuemin Tu, University of Kansas, USA Transformations to Avoid Pivoting in Flux in a Thermomechanically Coupled 3:15-3:35 Title Not Available at Time Sparse Direct Methods Nonlinear Stokes Ice Sheet Model of Publication Francois-Henry Rouet and Xiaoye Sherry Li, Hongyu Zhu, University of Texas at Austin, Yanqiu Wang, Oklahoma State University, Lawrence Berkeley National Laboratory, USA; Georg Stadler, Courant Institute USA USA; Marc Baboulin, INRIA/University of of Mathematical Sciences, New York Paris-Sud, France University, USA; Noemi Petra, University of California, Merced, USA; Toby Isaac, Omar 3:15-3:35 Performance of Computing Ghattas, and Thomas Hughes, University of Low-Rank Approximation on Hybrid Texas at Austin, USA CPU/GPU Architectures Ichitaro Yamazaki, University of Tennessee, Knoxville, USA; Theo Mary, Universite de Toulouse, France; Jakub Kurzak, Stanimire Tomov, and Jack J. Dongarra, University of continued on next page Tennessee, Knoxville, USA 2015 SIAM Conference on Computational Science and Engineering 175

2:50-3:10 Automated Adjoints for Wednesday, March 18 Wednesday, March 18 Mesh-Independent PDE-Constrained Optimisation MS293 MS294 Patrick E. Farrell, University of Oxford, United Kingdom Mathematical and Physical Flooding the Cores - 3:15-3:35 A Pod Model for Resolving Properties of Numerical Computing Flooding Events the Angular Dimension of the Schemes for Complex with Many-Core and Boltzmann Transport Equation Dynamical Systems - Accelerator Technologies - Andrew G. Buchan, Atyab Calloo, Christopher Pain, Fangxin Fang, and Part II of II Part II of II Steven Dargaville, Imperial College 2:00 PM-3:40 PM 2:00 PM-3:40 PM London, United Kingdom; Ionel M. Navon, Florida State University, USA Room:251 F Room:254 B For Part 1 see MS268 For Part 1 see MS270 Stability and convergence are fundamental Detailed simulation of flooding events, such issues in the study of numerical algorithms. as in storm surges, tsunamis or rain floods, Another important aspect is their capability requires substantial computing power and of mimicking certain physical properties literally floods the computer with job tasks. of the target continuous system, such as Relevant supercomputing technology, on the energy conversion, or tracer transport. In other hand, is characterized by an increasing this minisymposium, researchers from amount of parallelism on all scales. Hence, different areas in applied and computational numerical methods, algorithms and software mathematics are invited to present their latest need to be tuned for data parallelism, many- results in studies of numerical schemes for core compute nodes (including accelerator complex dynamical system. Finite difference technology) and large-scale parallelism. This and finite volume schemes are of primary minisymposium thus focuses on approaches interests here, but finite element methods to reduce time to solution for simulating may also be included. Application areas complex flooding events on supercomputers include but are not limited to aeroelasticity, and architectures characterized by many-core classical fluid dynamics, and geophysical and accelerator technologies, in particular fluid dynamics. GPUs and Xeon Phis. Organizer: Qingshan Chen Organizer: Kyle T. Mandli Clemson University, USA Columbia University, USA Organizer: Gung-Min Gie Organizer: Michael Bader University of Louisville, USA TU München, Germany 2:00-2:20 The Effective Resolution of Organizer: Tobias Weinzierl Advection Schemes Durham University, United Kingdom James Kent, University of Michigan, USA; 2:00-2:20 FEM Integration with Jared P. Whitehead, Brigham Young Quadrature on the GPU University, USA; Christiane Jablonowski Matthew Knepley, University of Chicago, and Richard Rood, University of USA; Karl Rupp and Karl Rupp, Vienna Michigan, USA University of Technology, Austria; Andy 2:25-2:45 A New Adaptive R. Terrel, Continuum Analytics, USA Weighted Essentially Non-oscillatory 2:25-2:45 Flooding with Equelle: A WENO-Θ Scheme for Hypberbolic Domain Specific Language for Finite Conservation Laws Volume Methods Chang-Yeol Jung and Thien Binh Nguyen, Andre R. Brodtkorb, SINTEF, Norway Ulsan National Institute of Science and Technology, South Korea 2:50-3:10 High Performance High Order Numerical Method for Tsunami 2:50-3:10 Stability and Convergence Wave Propagation of the Co-volume Scheme for the Rajesh Gandham, Timothy Warburton, and Stokes Problem David Medina, Rice University, USA Qingshan Chen, Clemson University, USA 3:15-3:35 Thermal Comfort 3:15-3:35 Semi-Analytical Time Simulations on Massive Parallel Differencing Methods for Stiff Systems Problems Ralf-Peter Mundani and Jérôme Frisch, Chang-Yeol Jung and Thien Binh Nguyen, Technische Universität München, Ulsan National Institute of Science and Germany Technology, South Korea 176 2015 SIAM Conference on Computational Science and Engineering

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS295 MS296 MS297 Advances in Computational Recent Advances in Algorithms for the Methods for MHD and Multi- High Order Finite Element Eigenvalue Problem Fluid Models of Plasma - Methods for Atmospheric in Electronic Structure Part II of II Sciences - Part II of II Computations - Part II of II 2:00 PM-3:40 PM 2:00 PM-3:40 PM 2:00 PM-3:40 PM Room:254 C Room:150 AB Room:150 DE For Part 1 see MS271 For Part 1 see MS272 For Part 1 see MS273 Plasmas are ionized gases that appear in Global and regional models are heavily used The electronic structure of complex quantum a wide range of applications including for weather forecasting, policy decisions mechanical systems is determined by the astrophysics and space physics, as well as in and as compact laboratories for improving solution of a large number of one-dimensional laboratory settings such as in magnetically our scientific understanding of the Earth non-linearly coupled Schrodinger equations. confined fusion. Modeling and understanding system. The next generation of numerical Upon discretization this set of equations the basic phenomenon in plasma have long methods will soon be used for answering translates into Hermitian symmetric been topics in applied mathematics, yet many pressing questions on global/regional scale eigenvalue problems. Due to the many problems remain far too numerically intensive interactions, extreme events, and regional existing discretization schemes eigenproblems for modern parallel computers. The main scale climate change. This minisymposium come in many flavours and their solution difficulty is that plasmas span a wide range focuses on the latest advanced developments requires a multidisciplinary approach. This of spatial and temporal scales, requiring a in high(er) order finite element methods minisymposium addresses the eigenproblems wide array of computational mathematics including Discontinuous Galerkin,and high heterogeneity in connection with the rich tools. This minisymposium aims to describe order finite volume methods. The speakers variety of algorithms and implementations recent advances in the development of will address theoretical and computational which are used to solve them. The ultimate numerical methods and computational issues such as stability, optimal order goal is to make computational physicists and frameworks for the numerical solution of the convergence, sparse discretization, parallel computer scientists aware of the current status magnetohydrodynamics (MHD) equations and implementation, (hp)-adaptivity, large-scale of research and scientific advancement. other multi-fluid plasma physics models. problems and efficient implementations. Organizer: Edoardo A. Di Napoli Organizer: James A. Rossmanith Organizer: Paul Ullrich Jülich Supercomputing Centre, Germany Iowa State University, USA University of California, Davis, USA Organizer: Eric Polizzi Organizer: Lucian Ivan Organizer: Tan Bui-Thanh University of Massachusetts, Amherst, USA University of Waterloo, Canada University of Texas at Austin, USA Organizer: Yousef Saad Organizer: Qi Tang 2:00-2:20 An HDG Method for Non- University of Minnesota, USA Hydrostatic Atmosphere Michigan State University, USA 2:00-2:20 Accelerating Quantum Tan Bui-Thanh, University of Texas at 2:00-2:20 A High-order Block-adaptive Transport Calculations Through the Austin, USA Simulation Framework for Ideal and Feast Algorithm Resistive MHD Equations on Cubed- 2:25-2:45 A Higher-Order Finite Sascha Brueck, Mauro Calderara, Hossein sphere Grids Volume Nonhydrostatic Dynamical Bani-Hashemian, Joost VandeVondele, and Lucian Ivan, Hans De Sterck, and Andree Core with Space-Time Refinement Mathieu Luisier, ETH Zürich, Switzerland Hans Johansen, Lawrence Berkeley National Susanto, University of Waterloo, Canada; 2:25-2:45 Parallel Solution of Laboratory, USA Clinton P. Groth, University of Toronto, Eigenvalue Problems from Graphene Canada 2:50-3:10 Towards a Fully 3D Modeling with Solvers Based on 2:25-2:45 Scalable Solvers for Compressible Atmosphere Integration and Approximation Extended MHD in the Low-β Regime Dynamical Core with Compatible Bruno Lang, Lukas Krämer, and Martin Luis Chacon, Los Alamos National Finite Elements Galgon, University of Wuppertal, Germany Colin J. Cotter, Imperial College London, Laboratory, USA 2:50-3:10 Polynomial Techniques and United Kingdom 2:50-3:10 Block Preconditioners for 3D Primme for the Computation of Large Incompressible MHD 3:15-3:35 Optimization-based Number of Eigenvalues Eric C. Cyr, Edward Phillips, and John Spectral Element Semi-Lagrangian Andreas Stathopoulos, College of William & Shadid, Sandia National Laboratories, USA Tracer Transport Mary, USA Kara Peterson and Mark A. Taylor, Sandia 3:15-3:35 Linear Response Eigenvalue 3:15-3:35 Multi-Fluid National Laboratories, USA Magnetohydrodynamic Models for Problem and Excited State Partially-Ionized Non-Equilibrium Calculations Anisotropic Plasmas Zhaojun Bai, University of California, Davis, Clinton P. Groth and Ken Miura, University USA; Ren-Cang Li, University of Texas at of Toronto, Canada Arlington, USA 2015 SIAM Conference on Computational Science and Engineering 177

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS298 MS299 MS300 Models and Algorithms for Cyberlearning Technology Advances in Compressed Engineering Optimization and Deep Learning Sensing and Structured Under Uncertainty - Assessment in CSE Sparse Representations - Part II of II Education Part II of II 2:00 PM-3:40 PM 2:00 PM-3:40 PM 2:00 PM-3:40 PM Room:258 Room:259 Room:260 A For Part 1 see MS274 Computational science and engineering For Part 1 see MS276 Engineering optimization problems are often education is being transformed through The goal of this minisymposium is to constrained by large-scale simulations of a range of educational innovations. This present recent progress on models and physical systems. In many applications, the minisymposium will comprise reports on algorithms for compressed sensing that parameters and inputs characterizing the some novel ideas to advance undergraduate go beyond the traditional sparsity setting. physical system are unknown or estimated CSE education through cyberlearning It has long been acknowledged that many from data. When solving such optimization technology, deep learning assessment and practical applications of compressed sensing problems, it is not only important to innovative undergraduate research summer - ranging from medical sciences to optical accurately characterize the uncertainty workshops. imaging and wireless communications and incorporate it in the optimization Organizer: Hong Liu - possess substantially more structure formulation, but to also determine optimal than sparsity alone. Leveraging such Embry-Riddle Aeronautical University, USA solutions that are robust or risk-averse structure presents significant challenges to this uncertainty. This minisymposium Organizer: Michael Spector in both the construction of measurements presents novel risk models and efficient University of North Texas, USA (e.g. using tools from communications algorithms for the treatment of uncertainty in 2:00-2:20 Tri-Located Course in and optimization) and the design of new, engineering optimization problems. Mathematical Modeling and often probabilistic, algorithms. This Organizer: Bart G. Van Bloemen Complementary Reu Summer minisymposium will bring together leading experts in the field to latest research into Waanders Workshop these vital questions. Sandia National Laboratories, USA Hong Liu and Andrei Ludu, Embry-Riddle Aeronautical University, USA Organizer: Ben Adcock Organizer: Drew P. Kouri Simon Fraser University, Canada Sandia National Laboratories, USA 2:25-2:45 Deep Learning Assessment for Near Real-time, Formative Organizer: Anders Hansen 2:00-2:20 On Risk-averse PDE- Feedback during Complex Problem- University of Cambridge, United Kingdom constrained Optimization using solving Activities 2:00-2:20 Title Not Available at Time Convex Risk Measures Inspired by Michael Spector, University of North Texas, Conditional Value-at-risk of Publication USA Thomas M. Surowiec, Humboldt University Richard G. Baraniuk, Rice University, USA at Berlin, Germany 2:50-3:10 Towards Automating Analysis of Midterm Semester 2:25-2:45 Representation Using the 2:25-2:45 Maximizing AUC and Feedback Surveys for Improving Weyl Transform Buffered AUC in Classification Course Effectiveness Robert Calderbank, Duke University, USA Stan Uryasev, University of Florida, USA Douglas Holton, Embry-Riddle Aeronautical 2:50-3:10 Fast and Robust Dictionary 2:50-3:10 Optimization under University, USA Learning, with Invariances and Uncertainty: Application to Electrical 3:15-3:35 Facilitating Learners’ Multiresolution Circuits Cognitive Presence In A Self-Directed Mauro Maggioni and Samuel Gerber, Duke Timur Takhtaganov, Rice University, USA Online Course University, USA 3:15-3:35 Optimal Control Problems Ye Chen and Jing Lei, Syracuse University, 3:15-3:35 Compressive Parameter With Uncertain Model Parameters USA Estimation via Approximate Message Xiaodi Deng, Rice University, USA Passing Shermin Hamzehei and Marco F. Duarte, University of Massachusetts, USA 178 2015 SIAM Conference on Computational Science and Engineering

Wednesday, March 18 Wednesday, March 18 Wednesday, March 18 MS301 MS302 MS303 Computational Techniques PDE-constrained Advances in Time-Domain for Wave Equations in Optimization using the Boundary Integral Equations Second Order Form - Open-source Code SU2 - Part II of II Part II of II 2:00 PM-3:40 PM 2:00 PM-3:40 PM 2:00 PM-3:40 PM Room:151 AB Room:151 DE Room:260 B Most established codes for PDE-constrained For Part 1 see MS278 optimization are proprietary, unavailable, or In recent years there has been an increasing For Part 1 see MS277 interest in understanding and enhancing Many wave systems are most naturally prohibitively expensive for many users. The the simulation of linear evolution equations written in second order form. First order SU2 code is freely available as open-source (transient waves, Stokes flow, and diffusion) reformulations, though possible, typically and features a complete computational using boundary integral equation (BIE) require additional constraints and more analysis framework for multidisciplinary methods. This minisymposium brings variables. Despite this fact, the theory of design in applications such as, but not together researchers in the field of time- efficient time-domain discretization schemes limited to, aerospace technology. This domain BIE to enhance relationships and is better developed in the first order case. minisymposium will cover up-to-date topics to discuss current progress and future Speakers in this minisymposium will discuss within the SU2 framework related to its trends in theory, computation and advanced the generalization of concepts such as continuous and discrete adjoint capabilities, applications. A very wide range of topics are upwinding which are familiar for first order the application to large-scale aerodynamic covered such as fast methods, stable time- systems, as well as more traditional methods design, and the utilization of many-core stepping strategies (marching-on-in-time and which leverage special features of second architectures. Each of the topics covered convolution quadrature), well- posedness, order formulations. In addition, special involve the combination of multiple research and new applications in electromagnetism, techniques for treating high frequency waves areas of interest to the CS&E community. acoustics, elastodynamics, and heat and random media as well as applications Organizer: Nicolas R. Gauger diffusion. to complex physical phenomena will be Technische Universität Kaiserslautern, considered. Germany Organizer: Nicolas Salles University College London, United Kingdom Organizer: Thomas M. Hagstrom Organizer: Juan J. Alonso Southern Methodist University, USA Stanford University, USA Organizer: Francisco J. J. Sayas University of Delaware, USA Organizer: Daniel Appelo 2:00-2:20 Large Scale Design Using University of New Mexico, USA Su2 and a Continuous Adjoint Rans 2:00-2:20 Time-Domain Simulation of Two Dimensional Elastic Scattering 2:00-2:20 Upwind DG for Acoustic Approach Victor Dominguez, Universidad Pública de and Elastic Wave Equations Francisco Palacios, Stanford University, Navarra, Spain; Tonatiuh Sanchez-Vizuet Daniel Appelo, University of New Mexico, USA and Francisco J. J. Sayas, University of USA; Thomas M. Hagstrom, Southern 2:25-2:45 A Consistent and Robust Delaware, USA Methodist University, USA Discrete Adjoint Solver for the SU2 2:25-2:45 Variable Order 2:25-2:45 A Discontinuous Galerkin Framework Fast Multipole Method for an Method for the Spherically Reduced Tim Albring and Nicolas R. Gauger, Elastodynamic BEM Einstein Field Equations with Second- Technische Universität Kaiserslautern, Order Operators Germany Thomas Traub and Martin Schanz, Graz University of Technology, Austria Scott Field, Cornell University, USA; Jan 2:50-3:10 A Discrete Adjoint Hesthaven, EPFL, France; Stephen Lau, Framework for Lift-Constrained Noise 2:50-3:10 Recent Advances in University of New Mexico, USA; Abdul Minimization Using SU2 the Convolution Quadrature and Mroue, Canadian Institute for Theoretical Beckett Zhou and Nicolas R. Gauger, Temporal Galerkin Approaches to Astrophysics, Canada Technische Universität Kaiserslautern, Transient Electromagnetics 2:50-3:10 High-Order Upwind Germany; Thomas Economon, Francisco Daniel Weile, University of Delaware, USA; Methods for Second-Order Wave Palacios, and Juan J. Alonso, Stanford Balasubramaniam Shanker, Michigan Equations on Curvilinear and University, USA State University, USA Overlapping Grids 3:15-3:35 High-Performance 3:15-3:35 Accuracy of the Marching- Jeffrey W. Banks, Rensselaer Polytechnic Optimizations of the Unstructured on-in-Time Scheme for Td-Bie Institute, USA Open-Source SU2 Suite Methods 3:15-3:35 Uncertainty Quantification Thomas Economon, Francisco Palacios, Elwin Van ‘t Wout, University College for High Frequency Waves and Juan J. Alonso, Stanford University, London, United Kingdom Olof Runborg, KTH Stockholm, Sweden USA; Gaurav Bansal, Anand Deshpande, Alexander Heinecke, Dheevatsa Mudigere, and Mikhail Smelyanskiy, Intel Corporation, USA 2015 SIAM Conference on Computational Science and Engineering 179

Wednesday, March 18 MS304 Co-Design with Proxy Applications: Results and Experiences - Part II of II 2:00 PM-3:40 PM Room:151 G For Part 1 see MS279 Effective use of computing environments for scientific and engineering applications is determined by a combination issues throughout the codesign space: hardware, runtime environment, programming models, languages and compilers, algorithm choice and implementation, and more. Our focus is on applications that are large and complex, applying multi-physics at multi-scale, often with source code distribution constraints. Application proxies enable a language for codesign, providing a collaborative tool for exploring large-scale high performance scientific computation. Presentations in this minisymposium will describe experiences using proxies to explore key issues in computational science, providing examples across the codesign spectrum. Organizer: Richard Barrett Sandia National Laboratories, USA Organizer: Charles (Bert) H. Still Lawrence Livermore National Laboratory, USA 2:00-2:20 Experiences in Development of a Contact MiniApplication Using Kokkos Glen Hansen and Patrick Xavier, Sandia National Laboratories, USA 2:25-2:45 Co-Designing Hierarchical Algorithms: Application to Vlasov- Maxwell Particle-in-Cell Methods Joshua Payne, Luis Chacon, Guangye Chen, Chris Newman, Dana Knoll, and Allen McPherson, Los Alamos National Laboratory, USA 2:50-3:10 Uintah/Wasatch: Addressing Multiphsyics Complexity in a High- Performance Computing Environment Tony Saad, Christopher Earl, Abhishek Bagusetty, Matthew Might, and James C. Sutherland, University of Utah, USA

Conference Adjourns 3:40 PM 180 2015 SIAM Conference on Computational Science and Engineering

Notes 2015 SIAM Conference on Computational Science and Engineering 181

Speaker Index

Italicized names are minisymposium organizers. 182 2015 SIAM Conference on Computational Science and Engineering

A Amaya, Joseph, MS216, 2:15 Tue B Aminfar, Amirhossein, MS203, 10:50 Tue Babaee, Hessameddin, CP22, 9:25 Wed Acar, Evrim, PD1, 12:15 Sat Amir, Lubna, PP102, 4:30 Sun Baboulin, Marc, MS266, 10:55 Wed Adams, Mark, MS175, 1:55 Mon Amsallem, David, MS4, 10:15 Sat Baboulin, Marc, MS291, 2:00 Wed Adams, Mark, MS210, 3:30 Tue Amsallem, David, MS30, 2:25 Sat Babtie, Ann C., MS132, 10:25 Mon Adams, Marvin L., MS45, 2:25 Sat Amsallem, David, MS55, 4:35 Sat Bacuta, Constantin, MS37, 3:15 Sat Adcock, Ben, MS276, 10:55 Wed Amsallem, David, MS187, 11:15 Tue Bader, Michael, MS270, 10:55 Wed Adcock, Ben, MS300, 2:00 Wed Anderson, Jeffrey, MS243, 5:15 Tue Bader, Michael, MS294, 2:00 Wed Adcroft, Alistair, MS157, 2:45 Mon Andini Putri, Fauziah, MS146, 10:14 Mon Badia, Rosa M., MS171, 1:30 Mon Aderogba, Adebayo A., PP2, 4:30 Sun Andrews, Steven, MS90, 9:10 Sun Badia, Santiago, MS32, 2:25 Sat Adler, James H., MS85, 9:10 Sun Anistratov, Dmitriy Y., MS223, 2:40 Tue Badr, Abdallah A., PP13, 4:30 Mon Adler, James H., MS85, 10:00 Sun Anitescu, Mihai, MS195, 10:50 Tue Baer, Steven M., MS153, 9:10 Mon Adler, James H., MS110, 1:30 Sun announced, To be, MS105, 10:50 Tue Baer, Steven M., MS153, 9:10 Mon Adler, James H., MS137, 9:10 Mon Antil, Harbir, MS174, 1:55 Mon Bahlla, Upinder, MS115, 2:20 Sun Afkhami, Shahriar, MS245, 5:15 Tue Anzt, Hartwig, PP205, 4:30 Mon Bai, Zhaojun, MS297, 3:15 Wed Aghakhani, Hossein, MS165, 2:20 Mon Anzt, Hartwig, PP205, 4:30 Mon Bakhos, Tania, MS31, 3:15 Sat Agullo, Emmanuel, MS82, 9:10 Sun Appelhans, David A., CP8, 10:10 Wed Balay, Satish, PP103, 4:30 Sun Agullo, Emmanuel, MS107, 1:30 Sun Appelo, Daniel, MS36, 2:25 Sat Baldassarre, Luca, MS276, 11:20 Wed Agullo, Emmanuel, MS134, 9:10 Mon Appelo, Daniel, MS277, 10:55 Wed Ballani, Jonas, MS56, 5:50 Sat Agullo, Emmanuel, MS145, 9:10 Mon Appelo, Daniel, MS301, 2:00 Wed Ballard, Grey, CP8, 9:25 Wed Agullo, Emmanuel, MS160, 1:30 Mon Appelo, Daniel, MS301, 2:00 Wed Ballarin, Francesco, MS236, 5:40 Tue Agullo, Emmanuel, MS171, 1:30 Mon Aquino, Wilkins, MS274, 11:20 Wed Banks, Jeffrey W., MS6, 10:15 Sat Ahmadia, Aron, PP6, 4:30 Sun Aravkin, Aleksandr, MS9, 10:15 Sat Banks, Jeffrey W., MS32, 2:25 Sat Ahmedov, Bahodir, PP4, 4:30 Sun Aravkin, Aleksandr, MS9, 11:30 Sat Banks, Jeffrey W., MS57, 4:35 Sat Ahrens, James, IP9, 8:15 Wed Aravkin, Aleksandr, MS35, 2:25 Sat Banks, Jeffrey W., MS301, 2:50 Wed Ajay, Aprant, MS94, 9:26 Sun Arbenz, Peter, MS160, 1:30 Mon Bao, Feng, PP201, 4:30 Mon Albin, Nathan, MS3, 10:15 Sat Archer, Cristina L., MS253, 4:50 Tue Bao, Lei, MS272, 12:10 Wed Albright, Jason, MS10, 10:15 Sat Archibald, Richard, PP3, 4:30 Sun Barajas-Solano, David A., MS256, 12:10 Albring, Tim, MS302, 2:25 Wed Arnold, Douglas N., PP207, 4:30 Mon Wed Alexanderian, Alen, MS274, 11:45 Wed Arrigo, Francesca, CP26, 9:10 Wed Baraniuk, Richard G., MS2, 11:30 Sat Alexeev, Alexander, MS42, 3:40 Sat Asante-Asamani, Emmanuel O., PP4, 4:30 Baraniuk, Richard G., MS300, 2:00 Wed Aljuhani, Shaimaa M., PP14, 4:30 Mon Sun Barba, Lorena A., MS27, 2:25 Sat Alkahtani, Badr, PP1, 4:30 Sun Attia, Ahmed, MS218, 3:30 Tue Barba, Lorena A., MS27, 2:25 Sat Alla, Alessandro, MS174, 2:45 Mon Atzberger, Paul J., PP104, 4:30 Sun Barba, Lorena A., MS78, 10:25 Sun Allaire, Doug, MS274, 12:10 Wed Atzberger, Paul J., MS242, 4:25 Tue Barba, Lorena A., PD3, 12:15 Mon Alldredge, Graham, PP105, 4:30 Sun Atzberger, Paul J., MS288, 2:25 Wed Bardhan, Jaydeep, MS151, 9:35 Mon Alldredge, Graham, MS147, 9:35 Mon Audouze, Christophe, CP22, 9:40 Wed Bardhan, Jaydeep, MS242, 5:15 Tue Allen, Jeffery M., MS110, 1:55 Sun Augustin, Florian, MS139, 10:25 Mon Bardsley, Johnathan M., MS5, 10:15 Sat Allmaras, Steven R., MS98, 9:35 Sun Augustin, Florian, MS183, 10:00 Tue Bardsley, Johnathan M., MS144, 9:10 Mon Auphan, Thomas, MS66, 5:00 Sat Almgren, Ann S., MS201, 11:15 Tue Bardsley, Johnathan M., MS170, 1:30 Mon Austin, Anthony, PP204, 4:30 Mon Alolyan, Ibraheem, PP3, 4:30 Sun Bardsley, Johnathan M., MS170, 1:30 Mon Austin, Brian, MS186, 10:50 Tue Alonso, Juan J., MS302, 2:00 Wed Barker, Andrew T., MS186, 10:25 Tue Austin, Woody N., CP25, 10:10 Wed Aluie, Hussein, CP24, 10:10 Wed Barlow, Andrew J., MS156, 2:45 Mon Awanou, Gerard, PP207, 4:30 Mon Amaral, Sergio, PP13, 4:30 Mon Barlow, Jesse L., MS63, 5:00 Sat Azijli, Iliass, PP14, 4:30 Mon Barnett, Alex H., MS227, 2:15 Tue 2015 SIAM Conference on Computational Science and Engineering 183

Barra, Valeria, PP1, 4:30 Sun Bertrand, Fleurianne, MS110, 2:20 Sun Bochev, Pavel, PP203, 4:30 Mon Barrett, Richard, MS279, 10:55 Wed Berzins, Martin, MS93, 10:25 Sun Bock, Nicolas, MS241, 5:40 Tue Barrett, Richard, MS279, 12:10 Wed Berzins, Martin, MS129, 9:10 Mon Bodony, Daniel J., MS86, 9:10 Sun Barrett, Richard, MS304, 2:00 Wed Betcke, Timo, MS151, 9:10 Mon Bodony, Daniel J., MS111, 1:30 Sun Bartel, Andreas, MS162, 1:30 Mon Betcke, Timo, MS151, 9:10 Mon Bodony, Daniel J., MS111, 1:30 Sun Bartlett, Roscoe, MS77, 5:00 Sat Betcke, Timo, MS177, 1:30 Mon Bokanowski, Olivier, MS15, 10:40 Sat Bartol, Thomas M., MS90, 10:00 Sun Betcke, Timo, MS203, 10:00 Tue Bolten, Matthias, CP2, 9:10 Wed Basting, Christopher, PP203, 4:30 Mon Betcke, Timo, MS227, 2:15 Tue Bolten, Matthias, MS286, 2:50 Wed Basting, Christopher, CP14, 9:40 Wed Bhaganagar, Kiran, MS253, 4:25 Tue Boman, Erik G., MS141, 9:10 Mon Bauer, Andrew, MS77, 5:50 Sat Bhaganagar, Kiran, MS253, 4:25 Tue Boman, Erik G., CP7, 10:10 Wed Bauer, Martin, MS124, 1:30 Sun Bhatele, Abhinav, MS287, 2:50 Wed Borges, Carlos C., MS48, 3:40 Sat Bauer, Martin, MS124, 1:30 Sun Bhattacharya, Kaushik, MS14, 10:15 Sat Borggaard, Jeff, MS148, 10:25 Mon Bauman, Paul, MS139, 9:10 Mon Bhowmick, Sanjukta, MS100, 9:10 Sun Borggaard, Jeff, MS267, 10:55 Wed Bauman, Paul, MS139, 9:10 Mon Bhowmick, Sanjukta, MS125, 1:30 Sun Börm, Steffen, MS203, 10:00 Tue Bauman, Paul, MS165, 1:30 Mon Bhowmick, Sanjukta, MS125, 2:45 Sun Boscarino, Sebastiano, MS188, 10:50 Tue Bayona, Victor, MS24, 11:05 Sat Bian, Xin, PP104, 4:30 Sun Bosch, Jessica, MS83, 9:35 Sun Beams, Natalie N., PP6, 4:30 Sun Bienstock, Daniel, MS100, 10:00 Sun Bosilca, George, MS82, 9:35 Sun Beattie, Christopher A., MS91, 9:10 Sun Biglari, Amir, CP17, 10:10 Wed Bosilca, George, MS145, 10:00 Mon Beattie, Christopher A., MS116, 1:30 Sun Bigoni, Daniele, PP5, 4:30 Sun Bosse, Torsten F., MS69, 4:35 Sat Bourrier, Anthony, MS276, 11:45 Wed Beattie, Christopher A., MS143, 9:10 Mon Bihari, Barna, MS97, 10:00 Sun Boutsidis, Christos, MS266, 10:55 Wed Beattie, Christopher A., MS169, 1:30 Mon Bilionis, Ilias, MS289, 2:00 Wed Boyd, John P., MS180, 1:30 Mon Beck, Andrea D., MS67, 4:35 Sat Bindel, David, MS60, 4:35 Sat Brady, John F., MS288, 2:00 Wed Beck, Andrea D., MS150, 10:00 Mon Bindel, David, MS60, 5:00 Sat Bramas, Berenger, MS177, 2:20 Mon Beck, James, MS132, 9:10 Mon Birken, Philipp, MS6, 10:40 Sat Brannick, James, MS254, 4:25 Tue Beck, James, MS158, 1:30 Mon Birken, Philipp, MS57, 4:35 Sat Brannick, James, MS254, 4:50 Tue Becker, Stephen, MS35, 2:50 Sat Biros, George, MS8, 10:15 Sat Braun, Richard, PD0, 6:30 Sat Becker, Stephen, MS74, 4:35 Sat Biros, George, MS34, 2:25 Sat Braun, Richard, PP4, 4:30 Sun Beckvermit, Jacqueline, PP206, 4:30 Mon Biros, George, MS27, 2:50 Sat Brazell, Michael, MS176, 2:45 Mon Bekas, Costas, MS118, 2:45 Sun Biros, George, MS59, 4:35 Sat Breil, Jerome, MS167, 5:15 Tue Belanger-Rioux, Rosalie, MS88, 10:00 Sun Biros, George, MS164, 2:45 Mon Brennan, Brian W., MS231, 2:40 Tue Bell, John B., MS263, 11:20 Wed Biros, George, MS214, 2:15 Tue Breuer, Alexander, CP8, 9:55 Wed Bencomo, Mario, MS88, 9:35 Sun Biros, George, MS239, 4:25 Tue Briggs, Nathan C., PP7, 4:30 Sun Bennett, Janine C., MS129, 9:35 Mon Birrell, Jeremiah, PP6, 4:30 Sun Brodtkorb, Andre R., MS294, 2:25 Wed Benson, Austin, CP4, 9:25 Wed Bistrian, Diana, MS267, 12:10 Wed Brown, Elisabeth M., PP4, 4:30 Sun Benson, Thomas, CP2, 9:40 Wed Bittner, Kai, MS162, 1:55 Mon Brown, Jed, MS175, 2:45 Mon Benzi, Michele, MS108, 2:45 Sun Blackburn, Hugh, MS103, 10:00 Sun Brown, Jed, MS202, 10:00 Tue Berger, Marsha, MS130, 9:10 Mon Blackwell, Robert, MS122, 2:45 Sun Brown, Jed, MS226, 2:15 Tue Berger, Marsha, MS157, 1:30 Mon Blais, Marcel, MS222, 2:15 Tue Brown, Peter, PP105, 4:30 Sun Berljafa, Mario, PP3, 4:30 Sun Blaylock, Myra, MS135, 10:00 Mon Brueck, Sascha, MS297, 2:00 Wed Bernholdt, David E., MS112, 1:55 Sun Bliss, Nadya, MS100, 10:25 Sun Brull, Stephane, MS95, 9:10 Sun Bertozzi, Andrea L., MS29, 3:15 Sat Blom, David, MS6, 11:30 Sat Brull, Stephane, CP12, 10:10 Wed Bertozzi, Andrea L., PD0, 8:30 Sat Blonigan, Patrick, MS111, 2:20 Sun Brune, Christoph, MS239, 4:50 Tue Blum, Volker, MS184, 10:00 Tue Bruno, Oscar P., MS18, 10:15 Sat Bo, Wurigen, MS167, 4:25 Tue Bruno, Oscar P., MS154, 9:10 Mon 184 2015 SIAM Conference on Computational Science and Engineering

Brunton, Steven, MS2, 10:15 Sat Calderer, Antoni E., MS196, 11:15 Tue Cerioni, Alessandro, MS273, 12:10 Wed Brunton, Steven, MS28, 2:25 Sat Calderer, Carme, MS14, 10:40 Sat Chabannes, Vincent, PP204, 4:30 Mon Brunton, Steven, MS53, 4:35 Sat Calhoun, Donna, MS102, 9:10 Sun Chacon, Luis, MS295, 2:25 Wed Brunton, Steven, MS53, 4:35 Sat Calhoun, Donna, MS102, 9:10 Sun Chakrabortty, Aranya, MS256, 11:45 Wed Bryant, Corey M., MS109, 2:45 Sun Calhoun, Donna, MS127, 1:30 Sun Chakraborty, Pritam, MS259, 11:20 Wed Bu, Yiming, MS275, 12:10 Wed Calhoun, Donna, PP102, 4:30 Sun Challacombe, Matt, MS241, 4:50 Tue Buchan, Andrew G., MS292, 3:15 Wed Calvetti, Daniela, MS5, 10:40 Sat Chand, Kyle, MS127, 2:45 Sun Bui-Thanh, Tan, MS62, 4:35 Sat Calvetti, Daniela, PD5, 12:45 Tue Chandrasekaran, Sunita, MS235, 4:25 Tue Bui-Thanh, Tan, MS87, 9:10 Sun Calvin, Christophe, MS17, 11:05 Sat Chapman, Barbara, MS235, 4:25 Tue Bui-Thanh, Tan, MS272, 10:55 Wed Camier, Jean-Sylvain, MS279, 11:45 Wed Chatzi, Eleni, MS158, 1:30 Mon Campbell, Dave A., MS158, 2:20 Mon Chaudhri, Anuj, MS263, 11:45 Wed Bui-Thanh, Tan, MS296, 2:00 Wed Canic, Suncica, MS57, 4:35 Sat Chaudhry, Jehanzeb H., MS137, 10:25 Mon Bui-Thanh, Tan, MS296, 2:00 Wed Canning, Andrew M., PP3, 4:30 Sun Chaudhry, Jehanzeb H., MS261, 12:10 Wed Bungartz, Hans-Joachim, MS80, 9:10 Sun Cantin, Pierre, PP202, 4:30 Mon Chavarria, Daniel, MS235, 5:40 Tue Bungartz, Hans-Joachim, MS105, 1:30 Sun Cantwell, Chris, MS26, 10:15 Sat Chavez, Gustavo, MS73, 5:25 Sat Burke, James V., MS9, 10:15 Sat Cantwell, Chris, MS51, 2:25 Sat Chelikowsky, James R., MS273, 10:55 Wed Burkovska, Olena, PP2, 4:30 Sun Cantwell, Chris, MS51, 3:15 Sat Chen, Guangye, MS199, 10:25 Tue Burkow, Markus, CP24, 9:10 Wed Cantwell, Chris, MS103, 9:10 Sun Chen, Jie, MS241, 4:25 Tue Burstedde, Carsten, MS102, 9:10 Sun Cantwell, Chris, MS103, 9:10 Sun Chen, Jie, MS241, 4:25 Tue Burstedde, Carsten, MS127, 1:30 Sun Cantwell, Chris, MS128, 1:30 Sun Chen, Long-qing, MS40, 3:40 Sat Burstedde, Carsten, MS127, 1:30 Sun Cao, Shuhao, MS152, 10:00 Mon Chen, Peng, MS34, 3:40 Sat Busetto, AlbertoGiovanni, MS132, 9:10 Mon Carey, Varis, MS84, 10:25 Sun Chen, Peng, MS187, 10:50 Tue Busetto, AlbertoGiovanni, MS132, 9:10 Mon Carin, Larry, MS276, 10:55 Wed Chen, Qingshan, PP9, 4:30 Mon Busetto, AlbertoGiovanni, MS158, 1:30 Mon Carlberg, Kevin T., MS4, 10:40 Sat Chen, Qingshan, MS268, 10:55 Wed Busetto, AlbertoGiovanni, PP208, 4:30 Mon Carlberg, Kevin T., MS187, 10:00 Tue Chen, Qingshan, MS293, 2:00 Wed Butler, Troy, MS84, 9:10 Sun Carlberg, Kevin T., MS211, 2:15 Tue Chen, Qingshan, MS293, 2:50 Wed Butler, Troy, MS84, 9:10 Sun Carlberg, Kevin T., MS236, 4:25 Tue Chen, Richard L., MS195, 10:25 Tue Butler, Troy, MS109, 1:30 Sun Chen, Yanping, PP6, 4:30 Sun Carlberg, Kevin T., MS260, 10:55 Wed Butler, Troy, PP101, 4:30 Sun Chen, Ye, MS299, 3:15 Wed Carlberg, Kevin T., MS285, 2:00 Wed Buvoli, Tommaso, PP10, 4:30 Mon Chen, Yi, CP22, 9:10 Wed Carpentieri, Bruno, MS275, 10:55 Wed Chen, Zheng, MS89, 9:10 Sun Carrola, John, MS16, 10:15 Sat Cheng, Cheng, PP8, 4:30 Sun C Carrola, John, MS42, 2:25 Sat Cabal, Antonio, MS92, 10:00 Sun Cheng, Juan, MS23, 10:15 Sat Carrola, John, MS42, 2:25 Sat Cacuci, Dan G., MS194, 10:25 Tue Cheng, Juan, MS23, 10:15 Sat Carson, Erin C., MS141, 10:00 Mon Cai, Yongyong, CP20, 9:10 Wed Cheng, Juan, MS49, 2:25 Sat Carver, Jeffrey C., MS112, 2:45 Sun Cai, Zhenning, PP105, 4:30 Sun Cheng, Yingda, MS15, 10:15 Sat Casadei, Astrid, MS250, 5:15 Tue Cai, Zhenning, MS248, 4:25 Tue Casas, Marc, MS107, 1:30 Sun Cheng, Yingda, MS64, 4:35 Sat Cai, Zhiqiang, MS152, 9:10 Mon Catalyurek, Umit V., MS250, 4:50 Tue Cheng, Yingda, MS70, 5:50 Sat Cai, Zhiqiang, MS152, 9:10 Mon Caudillo Mata, Luz Angelica A., CP9, 9:40 Cheng, Yuanzhen, PP2, 4:30 Sun Cai, Zhiqiang, MS178, 1:30 Mon Wed Chevalier, Cédric, MS200, 10:25 Tue Calaf, Marc, MS253, 5:15 Tue Cazeaux, Paul, CP12, 9:25 Wed Chi, Hongmei, PP13, 4:30 Mon Calderbank, Robert, MS300, 2:25 Wed 2015 SIAM Conference on Computational Science and Engineering 185

Chien, Andrew A., MS82, 10:00 Sun Constantinescu, Emil M., MS188, 10:00 Tue Davis, Anthony B., PP105, 4:30 Sun Childs, Hank, PD2, 12:15 Sun Constantinescu, Emil M., MS212, 2:15 Tue Davis, Brisa, PP102, 4:30 Sun Chkifa, Abdellah, MS106, 1:55 Sun Constantinescu, Emil M., MS237, 4:25 Tue Davis, Rachel A., MS198, 11:15 Tue Cho, Hana, PP2, 4:30 Sun Cook, Dennis, MS7, 10:40 Sat Davis, Timothy A., MS163, 1:30 Mon Cho, Heyrim, MS289, 2:50 Wed Cooley, Kilian, MS228, 2:40 Tue Dawson, Clint, MS206, 10:00 Tue Choi, Youngsoo, MS148, 9:35 Mon Copos, Calina A., PP4, 4:30 Sun Dawson, Clint, MS206, 10:00 Tue Chou, Ching-Shan, MS277, 12:10 Wed Cortez, Ricardo, MS99, 9:10 Sun Dawson, Clint, MS230, 2:15 Tue Chow, Edmond, MS197, 11:15 Tue Cortez, Ricardo, MS140, 9:10 Mon D’Azevedo, Eduardo F., CP4, 9:10 Wed Chow, Joe, MS281, 3:15 Wed Cortial, Julien, MS285, 2:00 Wed de Jong, Bert, MS209, 3:05 Tue Christlieb, Andrew J., MS45, 2:50 Sat Cotilla-Sanchez, Eduardo, MS281, 2:50 Wed De Marchi, Stefano, MS101, 10:00 Sun Christlieb, Andrew J., MS136, 9:35 Mon Cottam, Joseph, MT1, 2:50 Wed De Stefano, Michele, MS181, 2:20 Mon Christlieb, Andrew J., MS204, 10:00 Tue Cotter, Colin J., MS296, 2:50 Wed De Sterck, Hans, MS131, 9:10 Mon Christlieb, Andrew J., MS228, 2:15 Tue Couteyen Carpaye, Jean Marie, PP1, 4:30 De Sterck, Hans, MS247, 4:25 Tue Sun Christlieb, Andrew J., MS251, 4:25 Tue De Sturler, Eric, MS91, 9:10 Sun Crabtree, George, MS14, 11:05 Sat Christon, Mark, MS77, 5:25 Sat De Sturler, Eric, MS116, 1:30 Sun Crestel, Benjamin, PP13, 4:30 Mon Chunfeng, Cui, PP3, 4:30 Sun De Sturler, Eric, MS116, 2:20 Sun Crivelli, Silvia N., MS198, 10:00 Tue Chung, Julianne, MS31, 2:25 Sat De Sturler, Eric, MS143, 9:10 Mon Crivelli, Silvia N., MS198, 10:00 Tue Cinnella, Paola, MS67, 5:00 Sat De Sturler, Eric, MS169, 1:30 Mon Crowe, Cameron, PP8, 4:30 Sun Clayton, Richard, MS26, 10:15 Sat Cui, Tiangang, MS59, 5:00 Sat Debusschere, Bert J., MS138, 9:10 Mon Clayton, Richard, MS51, 2:25 Sat Curtis, Frank E., MS244, 5:15 Tue Debusschere, Bert J., MS164, 1:30 Mon Cline, Derek A., PP1, 4:30 Sun Cyr, Eric C., PP106, 4:30 Sun Del Pino, Stephane, MS167, 5:40 Tue Cohen, Albert, MS81, 9:10 Sun Del Razo, Mauricio J., PP102, 4:30 Sun Cohen, Albert, MS106, 1:30 Sun Del Razo, Mauricio J., CP9, 9:55 Wed Cohen, Albert, MS133, 9:10 Mon D Delgado, Paul M., MS119, 2:02 Sun Daescu, Dacian N., MS168, 1:30 Mon Cohen, Albert, MS133, 10:00 Mon Delgado, Paul M., PP6, 4:30 Sun Daescu, Dacian N., MS194, 10:00 Tue Cohen, Albert, MS159, 1:30 Mon D’Elia, Marta, PP201, 4:30 Mon Daescu, Dacian N., MS194, 10:00 Tue Cohen, Albert, MS185, 10:00 Tue Delong, Steven D., MS263, 12:10 Wed Daescu, Dacian N., MS218, 2:15 Tue Coifman, Ronald, MS53, 5:00 Sat Demanet, Laurent, MS74, 5:50 Sat Coletti, Mark, PP11, 4:30 Mon Daescu, Dacian N., MS243, 4:25 Tue DeMarco, Christopher, MS256, 11:20 Wed Colgin, Zane, CP13, 9:55 Wed Daescu, Dacian N., MS267, 10:55 Wed Demeshko, Irina, MS43, 3:40 Sat Collins, James B., PP5, 4:30 Sun Daescu, Dacian N., MS292, 2:00 Wed Demeshko, Irina, PP106, 4:30 Sun Conrad, Patrick R., MS74, 5:00 Sat Dahm, Johann, MS87, 10:00 Sun Demirci, Utkan, MS42, 2:50 Sat Conrad, Patrick R., PP5, 4:30 Sun Dahmen, Wolfgang, IP2, 1:30 Sat Demlow, Alan, MS178, 1:30 Mon Constantine, Paul, MS7, 10:15 Sat Dahmen, Wolfgang, MS81, 10:00 Sun Dener, Alp, MS205, 10:25 Tue Constantine, Paul, MS33, 2:25 Sat Dalton, Steven, PP205, 4:30 Mon Deng, Weishan, CP10, 9:55 Wed Darve, Eric F., MS145, 10:25 Mon Constantine, Paul, MS58, 4:35 Sat Deng, Xiaodi, MS298, 3:15 Wed Dastouri, Zahrasadat, PP1, 4:30 Sun Constantine, Paul, MS249, 4:25 Tue Deng, Xiao-Long, MS196, 10:25 Tue Daunizeau, Jean, CP26, 9:40 Wed Constantinescu, Emil M., MS136, 9:10 Mon Densmore, Jeffery D., MS223, 2:15 Tue Davidovic, Andjela, PP12, 4:30 Mon Derksen, Alexander, MS214, 2:40 Tue Constantinescu, Emil M., MS162, 1:30 Mon Davis, Anthony B., MS19, 10:15 Sat Desjardins, Olivier, MS52, 5:50 Sat Constantinescu, Emil M., MS188, 10:00 Tue 186 2015 SIAM Conference on Computational Science and Engineering

Deslippe, Jack, MS234, 5:40 Tue Doostan, Alireza, MS289, 2:00 Wed Endeve, Eirik, MS95, 9:35 Sun Despres, Bruno, MS48, 2:25 Sat Dorff, Michael, MS222, 3:30 Tue Engsig-Karup, Allan P., PP10, 4:30 Mon Detrixhe, Miles L., CP11, 10:10 Wed Dow, Eric, MS7, 10:15 Sat Engwer, Christian, MS231, 3:30 Tue Deveci, Mehmet, MS287, 2:25 Wed Draganescu, Andrei, MS202, 10:25 Tue Ennis-King, Jonathan, MS284, 2:50 Wed Devendran, Dharshi, MS157, 1:30 Mon Drawert, Brian, MS90, 9:10 Sun Enright, Wayne, MS188, 10:25 Tue Devine, Karen D., MS200, 10:00 Tue Drawert, Brian, MS115, 1:30 Sun Epshteyn, Yekaterina, MS10, 10:15 Sat Devine, Karen D., MS200, 10:50 Tue Driscoll, Tobin, MS180, 2:45 Mon Epshteyn, Yekaterina, MS13, 10:15 Sat Devine, Karen D., MS250, 4:25 Tue Drmac, Zlatko, MS169, 1:30 Mon Epshteyn, Yekaterina, MS36, 2:25 Sat DeVore, Ronald, MS81, 9:10 Sun Druinsky, Alex, MS210, 3:05 Tue Epshteyn, Yekaterina, MS39, 2:25 Sat Dexter, Nick, MS240, 5:40 Tue Druskin, Vladimir L., MS143, 9:10 Mon Epshteyn, Yekaterina, MS251, 5:15 Tue Di, Zichao, MS202, 10:00 Tue Du, Cheng-Han, CP10, 10:10 Wed Español, Pep, MS263, 10:55 Wed Di, Zichao, MS202, 10:00 Tue Duarte, Marco F., MS300, 3:15 Wed Espig, Mike, MS56, 4:35 Sat Di, Zichao, MS226, 2:15 Tue Duarte, Max, CP10, 9:25 Wed Espig, Mike, MS56, 4:35 Sat Duarte, Max, CP17, 9:55 Wed Di Napoli, Edoardo A., MS273, 10:55 Wed Estrada, Felipe, MS216, 2:40 Tue Dubey, Anshu, MS160, 2:20 Mon Di Napoli, Edoardo A., MS297, 2:00 Wed Evans, Emily, CP19, 9:40 Wed Dutta, Prashanta, MS217, 3:30 Tue Diachin, Lori A., MS201, 10:00 Tue Dwight, Richard, MS135, 9:35 Mon Diachin, Lori A., MS225, 2:15 Tue Dytrych, Tomas, MS61, 5:25 Sat F Diaz, Julien, MS277, 11:20 Wed Fabiano, Enrico, MS86, 9:35 Sun Dietrich, J. Casey, MS230, 3:05 Tue Fahroo, Fariba, PD0, 8:30 Sat Dimarco, Giacomo, MS173, 2:45 Mon E Fairbanks, James, PP3, 4:30 Sun DiStasio, Jr., Robert A., MS184, 10:25 Tue Ebna Hai, Bhuiyan Shameem M., PP10, 4:30 Falgout, Robert, IP4, 11:20 Sun Mon Ditkowsky, Adi, MS10, 10:40 Sat Falk, Michael, MS40, 3:15 Sat Economon, Thomas, MS302, 3:15 Wed Dobson, Matthew, PP6, 4:30 Sun Fan, Yuwei, PP105, 4:30 Sun Edelman, Alan, MS246, 4:25 Tue Doelz, Juergen, MS159, 2:45 Mon Fang, Fangxin, MS267, 11:20 Wed Edwards, John, PP4, 4:30 Sun Dogan, Gunay, PP3, 4:30 Sun Fange, David, MS90, 9:35 Sun Efendiev, Yalchin, MS290, 2:00 Wed Dogan, Gunay, MS226, 2:15 Tue Farge, Marie, PP1, 4:30 Sun Ehrlacher, Virginie, MS224, 3:30 Tue Dogdas, Belma, MS117, 1:30 Sun Farrell, Kathryn, PP5, 4:30 Sun Eldred, Michael S., MS215, 3:30 Tue Domingues, Margarete O., CP23, 10:10 Wed Farrell, Patricio, MS75, 5:00 Sat Ellingson, Sally R., PP6, 4:30 Sun Donev, Aleksandar, MS193, 10:50 Tue Farrell, Patrick E., MS182, 10:25 Tue Ellingwood, Nathan, PP4, 4:30 Sun Donev, Aleksandar, MS263, 10:55 Wed Farrell, Patrick E., MS292, 2:50 Wed Elliott, James, MS134, 10:25 Mon Donev, Aleksandar, MS288, 2:00 Wed Fattebert, Jean-Luc, MS209, 2:15 Tue Elvetun, Ole Løseth, MS252, 4:50 Tue Donev, Aleksandar, MS288, 3:15 Wed Feinberg, Eugene A., CP15, 9:25 Wed Elwasif, Wael R., MS171, 2:20 Mon Dong, Bo, MS23, 10:40 Sat Feng, Lihong, MS143, 10:00 Mon Emad, Nahid, MS68, 5:50 Sat Dong, Suchuan, CP17, 9:10 Wed Feng, Xiao, MS251, 5:40 Tue Embree, Mark, MS108, 1:55 Sun Dongarra, Jack J., MS266, 10:55 Wed Ferreira, Ricardo, MS198, 10:25 Tue Emelianenko, Maria, PD0, 6:30 Sat Dongarra, Jack J., MS291, 2:00 Wed Ferrer, Rodolfo, MS173, 1:55 Mon Emelianenko, Maria, PD0, 8:30 Sat Fidkowski, Krzysztof, MS98, 10:25 Sun Doostan, Alireza, MS191, 10:00 Tue Emelianenko, Maria, MS202, 10:00 Tue Field, Scott, PP10, 4:30 Mon Doostan, Alireza, MS215, 2:15 Tue Emelianenko, Maria, MS226, 2:15 Tue Field, Scott, MS301, 2:25 Wed Doostan, Alireza, MS240, 4:25 Tue Emerson, David B., MS137, 9:35 Mon Fike, Jeffrey, MS211, 2:40 Tue Doostan, Alireza, MS264, 10:55 Wed Emory, Michael A., MS58, 5:25 Sat Filbir, Frank, MS126, 1:30 Sun Doostan, Alireza, MS264, 10:55 Wed 2015 SIAM Conference on Computational Science and Engineering 187

Fischer, Paul F., MS128, 1:30 Sun G Ghosh, Debojyoti, MS228, 3:05 Tue Flenner, Arjuna, MS3, 10:40 Sat Gadou, Mohamed, MS163, 2:20 Mon Ghysels, Pieter, MS266, 11:20 Wed Flyer, Natasha, MS24, 10:15 Sat Galagusz, Ryan, MS66, 5:25 Sat Gibou, Frederic G., MS196, 10:00 Tue Fogelson, Aaron L., MS16, 10:40 Sat Galanti, Barak, PP102, 4:30 Sun Gibou, Frederic G., MS196, 10:00 Tue Fornasier, Massimo, MS7, 11:30 Sat Galaz, José, MS119, 2:18 Sun Gibou, Frederic G., MS220, 2:15 Tue Forstall, Virginia, MS260, 11:45 Wed Galvin-Donoghue, Mary, MS65, 5:50 Sat Gibou, Frederic G., MS245, 4:25 Tue Fountoulakis, Kimon, MS179, 2:20 Mon Gambino, James R., PP1, 4:30 Sun Gie, Gung-Min, MS268, 10:55 Wed Fountoulakis, Vasileios, PP15, 4:30 Mon Gamell, Marc, MS107, 1:55 Sun Gie, Gung-Min, MS268, 11:45 Wed Fox, Alyson, CP2, 10:10 Wed Gandham, Rajesh, MS294, 2:50 Wed Gie, Gung-Min, MS293, 2:00 Wed Fox, Rodney O., MS19, 10:40 Sat Ganesh, Mahadevan, CP16, 9:40 Wed Giffen, Deena H., CP21, 9:55 Wed Franchetti, Franz, MS283, 2:25 Wed Ganguli, Surya, MS53, 5:25 Sat Giles, Michael B., MS133, 9:10 Mon Franck, Isabell, CP5, 10:10 Wed Gansterer, Wilfried N., MS160, 2:45 Mon Gillespie, Dirk, MS153, 10:00 Mon Francois, Marianne M., MS52, 5:00 Sat Garcke, Jochen, MS185, 10:00 Tue Gillette, Andrew, PP207, 4:30 Mon Frank, Martin, MS19, 10:15 Sat Gardner, Carl L., MS153, 9:10 Mon Gillman, Adrianna, MS48, 2:25 Sat Frank, Martin, MS45, 2:25 Sat Gardner, Carl L., MS153, 9:35 Mon Gillman, Adrianna, MS73, 4:35 Sat Frank, Martin, MS70, 4:35 Sat Gardner, David J., MS201, 10:25 Tue Gillman, Adrianna, MS203, 11:15 Tue Frank, Martin, MS95, 9:10 Sun Garg, Vikram, MS34, 3:15 Sat Gilyard, Julian, MS221, 3:05 Tue Garrett, Charles K., PP105, 4:30 Sun Frank, Martin, MS120, 1:30 Sun Giraud, Luc, MS82, 9:10 Sun Garrett, Charles K., MS199, 10:00 Tue Frank, Martin, PP105, 4:30 Sun Giraud, Luc, MS107, 1:30 Sun Gaston, Derek R., MS182, 10:00 Tue Frank, Martin, MS147, 9:10 Mon Giraud, Luc, MS134, 9:10 Mon Gaston, Derek R., MS259, 10:55 Wed Frank, Martin, MS173, 1:30 Mon Giraud, Luc, MS160, 1:30 Mon Gaston, Derek R., MS284, 2:00 Wed Frank, Martin, MS199, 10:00 Tue Girolami, Mark, MS132, 10:00 Mon Gauger, Nicolas R., MS69, 4:35 Sat Frank, Martin, MS223, 2:15 Tue Glas, Silke, MS285, 3:15 Wed Franzelin, Fabian, CP16, 9:10 Wed Gauger, Nicolas R., MS86, 9:10 Sun Glawe, Christoph, MS20, 11:30 Sat Gauger, Nicolas R., MS86, 10:00 Sun Frazier, Peter I., MS183, 10:00 Tue Gleich, David F., MS1, 10:15 Sat Frean, Daniel, MS228, 3:30 Tue Gauger, Nicolas R., MS111, 1:30 Sun Gleich, David F., MS1, 10:15 Sat Friedhoff, Stephanie, MS261, 10:55 Wed Gauger, Nicolas R., MS302, 2:00 Wed Glimm, James G., MS233, 4:25 Tue Friedlander, Michael, MS9, 10:40 Sat Gawlik, Evan S., CP9, 9:25 Wed Gluck, Fred, MS232, 5:15 Tue Fringer, Oliver, MS230, 2:40 Tue Gazzola, Silvia, MS31, 2:50 Sat Gmeiner, Björn, MS221, 2:15 Tue Frischknecht, Amalie, MS217, 3:05 Tue Gelb, Anne, MS154, 9:35 Mon Go, Jaegwi, PP4, 4:30 Sun Froese, Brittany, MS64, 5:50 Sat Gentile, Ann, MS262, 11:20 Wed Gobbert, Matthias K., MS197, 10:00 Tue Fromm, Bradley, MS259, 10:55 Wed Ghanem, Roger, MS240, 4:25 Tue Gobbert, Matthias K., MS221, 2:15 Tue Fu, Guosheng, MS176, 1:55 Mon Ghattas, Omar, MS8, 10:15 Sat Godinez, Humberto C., MS243, 5:40 Tue Fukaya, Takeshi, MS63, 5:25 Sat Ghattas, Omar, MS46, 2:25 Sat Goldberg, Daniel, MS190, 10:25 Tue Funke, Simon W., PP204, 4:30 Mon Ghattas, Omar, MS34, 2:25 Sat Gonnet, Pedro, MS270, 11:20 Wed Funke, Simon W., MS229, 2:15 Tue Ghattas, Omar, MS71, 4:35 Sat Goodfriend, Lauren, MS102, 10:00 Sun Funke, Simon W., MS231, 2:15 Tue Ghattas, Omar, MS59, 4:35 Sat Gorman, Gerard J, MS128, 1:55 Sun Funke, Simon W., MS252, 4:25 Tue Ghattas, Omar, PD0, 8:30 Sat Graf, Jonathan, MS197, 10:00 Tue Fuselier, Edward, MS101, 10:25 Sun Ghattas, Omar, MS116, 1:30 Sun Graham, Erica J., MS113, 1:30 Sun Ghesmati, Arezou, PP8, 4:30 Sun Graham, Erica J., MS113, 1:30 Sun Gholaminejad, Amir, MS239, 5:40 Tue 188 2015 SIAM Conference on Computational Science and Engineering

Graham, Lindley C., MS84, 9:35 Sun Guittet, Arthur, CP17, 9:40 Wed Halappanavar, Mahantesh, MS256, 10:55 Graham, Lindley C., PP101, 4:30 Sun Günther, Stefanie, MS69, 5:25 Sat Wed Gramacy, Robert, MS183, 10:25 Tue Gunzburger, Max, MS81, 9:10 Sun Halappanavar, Mahantesh, MS269, 12:10 Wed Grandine, Thomas A., PD0, 6:30 Sat Gunzburger, Max, MS106, 1:30 Sun Halappanavar, Mahantesh, MS281, 2:00 Grandine, Tom, PD1, 12:15 Sat Gunzburger, Max, MS133, 9:10 Mon Wed Grant, Zachary J., PP10, 4:30 Mon Gunzburger, Max, MS159, 1:30 Mon Hall, David M., MS272, 11:45 Wed Grant, Zachary J., MS212, 3:30 Tue Gunzburger, Max, PP201, 4:30 Mon Hall, Mary, MS258, 11:45 Wed Granzow, Brian, PP103, 4:30 Sun Gunzburger, Max, MS185, 10:00 Tue Ham, David, PP204, 4:30 Mon Granzow, Brian, MS225, 3:05 Tue Guo, Hanliang, MS22, 11:30 Sat Ham, David, MS207, 10:00 Tue Grasedyck, Lars, MS56, 5:00 Sat Guo, Hong, CP11, 9:25 Wed Ham, David, MS207, 10:00 Tue Gratadour, Damien, MS93, 10:00 Sun Guo, Wei, PP105, 4:30 Sun Ham, David, MS231, 2:15 Tue Graziani, Frank, MS147, 9:10 Mon Guthrey, Pierson, CP12, 9:55 Wed Hamlet, Christina, MS16, 11:30 Sat Greenspan, Elizabeth, PD5, 12:45 Tue Guzzetti, Sofia, CP21, 10:10 Wed Hammett, Greg, PP105, 4:30 Sun Greif, Chen, MS83, 10:00 Sun Hampton, Jerrad, MS238, 4:25 Tue Griewank, Andreas, MS194, 10:50 Tue Hangelbroek, Thomas C., MS101, 9:35 Sun Griffith, Boyce, MS16, 11:05 Sat H Höft, Thomas, PP6, 4:30 Sun Hansen, Anders, MS276, 10:55 Wed Grigori, Laura, MS141, 9:10 Mon Haack, Jeffrey, MS120, 1:55 Sun Hansen, Anders, MS300, 2:00 Wed Grimm, Alexander, MS143, 9:35 Mon Haario, Heikki, MS59, 5:50 Sat Hansen, Glen, MS304, 2:00 Wed Grindeanu, Iulian, PP1, 4:30 Sun Haasdonk, Bernard, MS4, 10:15 Sat Hansen, Michael A., PP9, 4:30 Mon Gropp, William D., PP204, 4:30 Mon Haasdonk, Bernard, MS148, 9:10 Mon Harmon, Michael D., PP7, 4:30 Sun Grotendorst, Johannes, CP3, 10:10 Wed Haasdonk, Bernard, MS174, 1:30 Mon Hasler, Jennifer, MS153, 10:25 Mon Groth, Clinton P., MS295, 3:15 Wed Grove, John W., MS208, 2:40 Tue Haber, Eldad, MS91, 9:10 Sun Hauck, Cory, MS19, 10:15 Sat Grove, Ryan R., PP2, 4:30 Sun Haber, Eldad, MS91, 9:10 Sun Hauck, Cory, MS45, 2:25 Sat Gu, Li, PP201, 4:30 Mon Haber, Eldad, MS116, 1:30 Sun Hauck, Cory, MS70, 4:35 Sat Gu, Tongxiang, CP7, 9:40 Wed Haber, Eldad, MS143, 9:10 Mon Hauck, Cory, MS95, 9:10 Sun Gu, Xiaojun, MS248, 4:25 Tue Haber, Eldad, MS169, 1:30 Mon Hauck, Cory, MS120, 1:30 Sun Guarin Zapata, Nicolas, PP4, 4:30 Sun Haber, Eldad, PD5, 12:45 Tue Hauck, Cory, MS147, 9:10 Mon Guenther, Michael, MS6, 10:15 Sat Haber, Eldad, MS246, 4:25 Tue Hauck, Cory, MS173, 1:30 Mon Guenther, Michael, MS136, 9:10 Mon Haberl, Alexander, MS227, 3:05 Tue Hauck, Cory, MS199, 10:00 Tue Guenther, Michael, MS162, 1:30 Mon Hadri, Bilel, MS93, 9:10 Sun Hauck, Cory, MS223, 2:15 Tue Guenther, Michael, MS188, 10:00 Tue Hadri, Bilel, MS118, 1:30 Sun Hawkins-Daarud, Andrea, MS166, 1:55 Mon Guenther, Michael, MS212, 2:15 Tue Hagstrom, Thomas M., MS277, 10:55 Wed Hawkins-Daarud, Andrea, MS239, 5:15 Tue Guenther, Michael, MS237, 4:25 Tue Hagstrom, Thomas M., MS277, 10:55 Wed Haynes, Ronald, MS237, 5:40 Tue Guerra, Jorge E., MS272, 11:20 Wed Hagstrom, Thomas M., MS301, 2:00 Wed Haynes, Ronald, MS261, 10:55 Wed Gugercin, Serkan, MS91, 9:10 Sun Haidar, Azzam, MS12, 10:15 Sat Haynes, Ronald, MS286, 2:00 Wed Gugercin, Serkan, MS116, 1:30 Sun Haidar, Azzam, MS12, 10:15 Sat He, Cuiyu, PP8, 4:30 Sun Gugercin, Serkan, MS143, 9:10 Mon Haidar, Azzam, MS38, 2:25 Sat He, Cuiyu, MS178, 2:20 Mon Gugercin, Serkan, MS169, 1:30 Mon Haidar, Azzam, MS63, 4:35 Sat He, Cuiyu, PP10, 4:30 Mon Gugercin, Serkan, MS168, 2:20 Mon Hajghassem, Mona, PP3, 4:30 Sun He, Xiaoming, MS208, 2:15 Tue Gugercin, Serkan, MS211, 3:05 Tue Hakim, Ammar, MS95, 10:00 Sun He, Xiaoming, MS233, 4:25 Tue 2015 SIAM Conference on Computational Science and Engineering 189

He, Xiaoming, MS257, 10:55 Wed Higgins, Raegan, MS192, 10:00 Tue Howell, Jason, CP18, 9:10 Wed He, Xiaoming, MS257, 12:10 Wed Higgins, Raegan, MS216, 2:15 Tue Hu, Guanghui, MS204, 11:15 Tue He, Xiaoming, MS282, 2:00 Wed Higham, Nicholas J., PD5, 12:45 Tue Hu, Jingwei, MS45, 3:40 Sat He, Ying, MS44, 3:15 Sat Higueras, Inmaculada, MS188, 11:15 Tue Hu, Jonathan J., PP103, 4:30 Sun He, Ying, MS89, 9:35 Sun Hill, Chris, MS190, 11:15 Tue Hu, Jonathan J., MS149, 9:35 Mon Hebbur Venkata Subba Rao, Vishwas, Hillewaert, Koen, MS67, 4:35 Sat Hu, Jun, MS152, 10:25 Mon MS190, 10:50 Tue Hillewaert, Koen, MS67, 4:35 Sat Hu, Jun, PP207, 4:30 Mon Heister, Timo, MS103, 9:35 Sun Himpe, Christian, MS116, 1:55 Sun Hu, Xiaozhe, MS11, 10:40 Sat Heister, Timo, MS155, 9:35 Mon Himpe, Christian, PP5, 4:30 Sun Hu, Zhicheng, MS248, 4:25 Tue Heister, Timo, PP204, 4:30 Mon Hittinger, Jeffrey A., PD0, 8:30 Sat Huang, Chen, MS234, 4:50 Tue Helenbrook, Brian, MS144, 10:00 Mon Hittinger, Jeffrey A., MS186, 10:00 Tue Huang, Chen, CP1, 9:25 Wed Hellander, Andreas, MS90, 9:10 Sun Hittinger, Jeffrey A., MS210, 2:15 Tue Huang, Jianjun, CP21, 9:40 Wed Hellander, Andreas, MS115, 1:30 Sun Ho, Kenneth L., MS74, 4:35 Sat Huang, Zhenyu, MS281, 2:00 Wed Helzel, Christiane, MS130, 9:10 Mon Ho, Nguyenho, PP9, 4:30 Mon Huckle, Thomas K., CP6, 10:10 Wed Henriksen, Ian D., PP6, 4:30 Sun Humpherys, Jeffrey, MS222, 3:05 Tue Hoefler, Torsten, MS262, 10:55 Wed Henshaw, William, MS32, 2:50 Sat Humpherys, Jeffrey, MS280, 3:15 Wed Hoefler, Torsten, MS287, 2:00 Wed Herbert-Voss, Ariel, MS146, 9:26 Mon Humphrey, Alan, PP206, 4:30 Mon Hoemmen, Mark, MS108, 2:20 Sun Heroux, Michael, MS17, 10:15 Sat Hunter, Blake, MS3, 11:05 Sat Hoffman, Bill, MS77, 4:35 Sat Heroux, Michael, MS17, 10:15 Sat Hutchins, John T., PP2, 4:30 Sun Hoffman, Bill, MS77, 4:35 Sat Heroux, Michael, MS43, 2:25 Sat Huybrechs, Daan, MS154, 9:10 Mon Hoffman, Johan, PP204, 4:30 Mon Heroux, Michael, MS68, 4:35 Sat Huybrechs, Daan, MS180, 1:30 Mon Hoffmann, Franz M., MS22, 11:05 Sat Heroux, Michael, MS82, 9:10 Sun Hysing, Johan S., CP19, 9:55 Wed Hogg, Jonathan, MS163, 1:55 Mon Heroux, Michael, MS82, 9:10 Sun Hohenegger, Christel, MS96, 9:10 Sun Heroux, Michael, MS107, 1:30 Sun Hohenegger, Christel, MS122, 1:30 Sun I Heroux, Michael, MS134, 9:10 Mon Holgado, Aaron M., PP5, 4:30 Sun Iaccarino, Gianluca, MS161, 1:30 Mon Heroux, Michael, MS160, 1:30 Mon Hollingsworth, Jeffery, MS258, 11:20 Wed Ibanez, Dan A., MS97, 9:10 Sun Heroux, Michael, PP204, 4:30 Mon Holton, Douglas, MS299, 2:50 Wed Ibanez, Dan A., PP103, 4:30 Sun Herrmann, Marcus, MS52, 5:25 Sat Holzaepfel, Aaron, PP105, 4:30 Sun Ibeid, Huda, MS73, 5:00 Sat Herty, Michael, MS147, 10:25 Mon Horesh, Lior, MS74, 4:35 Sat Ibrahima, Fayadhoi, PP5, 4:30 Sun Heryudono, Alfa, MS75, 5:50 Sat Horesh, Lior, MS91, 9:35 Sun Iglesias, Marco, MS59, 5:25 Sat Hess, Martin W., MS169, 2:20 Mon Horntrop, David J., CP22, 10:10 Wed Iliescu, Traian, MS211, 2:15 Tue Heuveline, Vincent, PD2, 12:15 Sun Horsch, Martin T., CP1, 10:10 Wed Imakura, Akira, MS134, 9:10 Mon Hewett, Russell, MS73, 5:50 Sat Hoshino, Tetsuya, MS43, 2:50 Sat Imamura, Toshiyuki, MS258, 10:55 Wed Hewson, John C., MS20, 10:40 Sat Hötzer, Johannes, MS124, 1:55 Sun Imamura, Toshiyuki, MS283, 2:00 Wed Hicken, Jason E., MS111, 1:55 Sun Hou, Zhangshuan, CP16, 9:25 Wed Imamura, Toshiyuki, MS283, 2:00 Wed Hicken, Jason E., MS205, 10:00 Tue Hovland, Paul D., MS190, 10:00 Tue Imbert-Gérard, Lise-Marie, MS48, 2:25 Sat Hickernell, Fred J., MS159, 2:20 Mon Howard, Marylesa, MS144, 9:35 Mon Imbert-Gérard, Lise-Marie, MS73, 4:35 Sat Higgins, Raegan, MS88, 9:10 Sun Howe, Bill, MS78, 10:00 Sun Imbert-Gérard, Lise-Marie, MS73, 4:35 Sat Higgins, Raegan, MS113, 1:30 Sun Howell, Gary W., CP25, 9:55 Wed Ipsen, Ilse, MS266, 11:45 Wed Higgins, Raegan, MS140, 9:10 Mon Howell, Gary W., MS275, 10:55 Wed Irish, Jennifer L., MS166, 1:30 Mon Higgins, Raegan, MS166, 1:30 Mon 190 2015 SIAM Conference on Computational Science and Engineering

Isaac, Toby, MS71, 4:35 Sat Johansen, Hans, MS296, 2:25 Wed Karpinski, Stephan, MS182, 10:50 Tue Iske, Armin, MS75, 5:25 Sat Johansson, August, MS10, 11:30 Sat Katagiri, Takahiro, MS258, 10:55 Wed Iturraran-Viveros, Ursula, PP6, 4:30 Sun Johnsen, Pete, MS118, 2:20 Sun Katagiri, Takahiro, MS258, 10:55 Wed Ivan, Lucian, MS271, 10:55 Wed Johnson, Calvin W., MS61, 4:35 Sat Katagiri, Takahiro, MS283, 2:00 Wed Ivan, Lucian, MS295, 2:00 Wed Johnson, Christopher, PD4, 12:45 Tue Katsoulakis, Markos A., PP104, 4:30 Sun Ivan, Lucian, MS295, 2:00 Wed Johnson, Christopher, MS247, 4:25 Tue Katz, Richard F., MS155, 9:10 Mon Jolivet, Pierre, MS226, 2:40 Tue Katz, Richard F., MS181, 1:30 Mon Jordan, Tobias, PP2, 4:30 Sun Kaus, Boris, MS155, 10:25 Mon J Joseph-Ellison, Stacey, MS94, 9:10 Sun Jackiewicz, Zdzislaw, MS212, 2:15 Tue Keasler, Jeff, MS17, 11:30 Sat Joseph-Ellison, Stacey, PP7, 4:30 Sun Jacquelin, Mathias, MS149, 10:25 Mon Keener, James P., MS26, 11:05 Sat Joshi, Sunnie, MS89, 10:00 Sun Jafarpour, Benham, MS238, 4:50 Tue Kees, Chris, CP6, 9:40 Wed Jouvet, Guillaume, MS46, 3:40 Sat Jain, Rajeev, MS121, 1:55 Sun Kekenes-Huskey, Peter, MS51, 2:50 Sat Jovanovic, Mihailo R., MS28, 2:50 Sat Jainta, Marcus, PP6, 4:30 Sun Keller, Tobias, MS181, 2:45 Mon Joyce, Kevin, MS170, 1:55 Mon Jakeman, John D., MS189, 10:00 Tue Kelley, C.T., PD0, 6:30 Sat Ju, Lili, MS46, 3:15 Sat Jakeman, John D., MS213, 2:15 Tue Kelley, C.T., MS142, 9:10 Mon Juckeland, Guido, MS235, 4:50 Tue Jakeman, John D., MS213, 2:15 Tue Kelley, C.T., MS142, 9:10 Mon Jung, Chang-Yeol, MS293, 3:15 Wed Jakeman, John D., MS238, 4:25 Tue Kennedy, Graeme, MS205, 10:00 Tue JZhu, Jiang, MS292, 2:00 Wed Jalali, Alireza, MS150, 10:25 Mon Kennedy, Graeme, MS205, 10:00 Tue James, Doug L., MS260, 10:55 Wed Kent, Carson, MS58, 5:00 Sat James, Richard, MS65, 4:35 Sat K Kent, Paul, MS209, 3:30 Tue Kabir, Humayun, MS221, 2:40 Tue Kenway, Gaetan, MS205, 11:15 Tue Jameson, Antony, MS98, 9:10 Sun Kågström, Bo T., MS38, 2:25 Sat Keppens, Rony, MS271, 11:20 Wed Jameson, Antony, MS123, 1:30 Sun Kahl, Karsten, MS254, 5:15 Tue Kerfriden, Pierre, MS4, 11:30 Sat Jameson, Antony, MS123, 1:30 Sun Kaiser, Eurika, MS2, 10:40 Sat Ketcheson, David I., PP102, 4:30 Sun Jameson, Antony, MS150, 9:10 Mon Kaizu, Kazunari, MS90, 10:25 Sun Ketcheson, David I., MS212, 2:40 Tue Jameson, Antony, MS176, 1:30 Mon Kalashnikova, Irina, MS46, 2:25 Sat Kevlahan, Nicholas, MS41, 2:25 Sat Jandhyala, Vikram, MS54, 5:50 Sat Kalashnikova, Irina, MS46, 2:50 Sat Kevrikidis, Yannis, MS28, 3:40 Sat Jansen, Kenneth, PP103, 4:30 Sun Kalashnikova, Irina, MS71, 4:35 Sat Keyes, David E., PD1, 12:15 Sat Jansen, Kenneth, MS225, 2:15 Tue Kallemov, Bakytzhan, MS288, 2:50 Wed Keyes, David E., MS93, 9:10 Sun Jantsch, Peter, MS138, 10:00 Mon Kandasamy, Manickam, CP14, 10:10 Wed Keyes, David E., PD3, 12:15 Mon Jeannot, Emmanuel, MS262, 12:10 Wed Kanner, Samuel, MS67, 5:25 Sat Khabou, Amal, MS266, 12:10 Wed Jefferson, Jennifer, MS58, 4:35 Sat Kanso, Eva, MS99, 10:25 Sun Khan, Maryam, MS192, 10:25 Tue Jiahao, Chen, MS246, 4:25 Tue Kaper, Hans G., MS14, 10:15 Sat Khatri, Shilpa, CP9, 10:10 Wed Jiang, Jiahua, PP8, 4:30 Sun Kaper, Hans G., MS40, 2:25 Sat Khuvis, Samuel, MS197, 10:50 Tue Jiang, Jiahua, PP5, 4:30 Sun Kilmer, Misha E., MS5, 10:15 Sat Jiao, Xiangmin, MS121, 2:45 Sun Kaper, Hans G., MS65, 4:35 Sat Kilmer, Misha E., MS31, 2:25 Sat Jimack, Peter K., CP2, 9:25 Wed Kara, Rukiye, CP24, 9:55 Wed Kilmer, Misha E., MS91, 9:10 Sun Jimenez Bolanos, Silvia, MS113, 1:55 Sun Karimi, Saeid, PP10, 4:30 Mon Jin, Shi, MS45, 3:15 Sat Karimi, Saeid, CP10, 9:40 Wed Kilmer, Misha E., MS116, 1:30 Sun Karlsson, Lars, MS38, 2:50 Sat Johansen, Hans, MS112, 1:30 Sun Kilmer, Misha E., MS143, 9:10 Mon Karniadakis, George E., PP104, 4:30 Sun Johansen, Hans, MS130, 9:10 Mon Kilmer, Misha E., MS169, 1:30 Mon Karpeyev, Dmitry A., PP204, 4:30 Mon Johansen, Hans, MS157, 1:30 Mon 2015 SIAM Conference on Computational Science and Engineering 191

Kim, Changho, PP6, 4:30 Sun Kordy, Michal A., PP6, 4:30 Sun Langtangen, Hans Petter, MS78, 9:35 Sun Kim, Kyungjoo, MS193, 10:00 Tue Koumoutsakos, Petros, MS158, 1:55 Mon Langtangen, Hans Petter, MS182, 10:00 Tue Kim, Kyungjoo, MS217, 2:15 Tue Kouri, Drew P., MS244, 5:40 Tue Lapham, Gary, CP24, 9:40 Wed Kim, Kyungjoo, MS217, 2:40 Tue Kouri, Drew P., MS274, 10:55 Wed Larson, Stephen, MS115, 1:55 Sun Kim, Kyungjoo, MS242, 4:25 Tue Kouri, Drew P., MS298, 2:00 Wed Larsson, Elisabeth, MS75, 4:35 Sat Kim, Mintae, MS12, 11:05 Sat Kowalski, Karol, MS234, 5:15 Tue Lashuk, Ilya, MS137, 10:00 Mon Kirby, Mike, MS128, 2:20 Sun Kowitz, Christoph, PP11, 4:30 Mon Lau, Stephen, PP6, 4:30 Sun Kirby, Rob, MS207, 10:00 Tue Kozdon, Jeremy E., MS102, 10:25 Sun Laurent, Thomas, MS3, 11:30 Sat Kirby, Rob, MS231, 2:15 Tue Kramer, Boris, PP11, 4:30 Mon Law, Kody, MS8, 10:40 Sat Kirby, Robert C., PP106, 4:30 Sun Krämer, Lukas, MS297, 2:25 Wed Law, Kody, MS185, 10:25 Tue Kitanidis, Peter K., MS34, 2:25 Sat Kraus, Michael, CP5, 9:40 Wed Lazar, Emanuel A., CP1, 9:10 Wed Klatt, Torbjörn, PP14, 4:30 Mon Krause, Rolf, MS79, 9:10 Sun Lazarov, Boyan S., CP13, 10:10 Wed Kloeckner, Andreas, PP106, 4:30 Sun Kreienbuehl, Andreas, MS261, 11:45 Wed Le, Ellen B., MS33, 2:25 Sat Le-Dimet, Francois-Xavier L., MS194, Kloeckner, Andreas, MS151, 9:10 Mon Kreiss, Gunilla, MS10, 10:15 Sat 11:15 Tue Kloeckner, Andreas, MS177, 1:30 Mon Kreiss, Gunilla, MS36, 2:25 Sat Lee, Junghoon, MS92, 10:25 Sun Kressner, Daniel, MS224, 2:15 Tue Kloeckner, Andreas, MS203, 10:00 Tue Lee, Lik Chuan, MS76, 5:00 Sat Kressner, Daniel, MS249, 4:25 Tue Kloeckner, Andreas, MS227, 2:15 Tue Lee, Young Ju, MS37, 3:40 Sat Krishnamurthy, Adarsh, MS76, 5:25 Sat Kloeckner, Andreas, MS227, 3:30 Tue Lee, Young-Ju, MS11, 10:15 Sat Knap, Jaroslaw, CP1, 9:40 Wed Krueger, Justin, MS169, 2:45 Mon Lee, Young-Ju, MS37, 2:25 Sat Knepley, Matthew G., MS181, 1:55 Mon Ku, Seung-Hoe, MS201, 10:00 Tue Lefantzi, Sophia, MS161, 1:55 Mon Knepley, Matthew G., PP204, 4:30 Mon Kubatko, Ethan, MS206, 11:15 Tue Leffell, Joshua I., PP6, 4:30 Sun Knepley, Matthew, MS294, 2:00 Wed Kuberry, Paul A., PP203, 4:30 Mon Lehto, Erik, MS50, 3:15 Sat Knight, Nicholas, MS38, 3:15 Sat Kumar, Rakesh, PP2, 4:30 Sun Leibs, Chris, MS137, 9:10 Mon Koch, Zoe, MS172, 1:30 Mon Kumar, Rakesh, CP23, 9:25 Wed Leiderman, Karin, MS22, 10:15 Sat Koellermeier, Julian, PP105, 4:30 Sun Kumari, Aradhana, PP8, 4:30 Sun Leiderman, Karin, MS122, 1:30 Sun Koestler, Harald, MS124, 1:30 Sun Kuo, Frances Y., MS159, 1:55 Mon Leiderman, Karin, MS140, 9:35 Mon Koestler, Harald, MS239, 4:25 Tue Kutz, J. Nathan, MS2, 10:15 Sat Lermusiaux, Pierre F.J, MS218, 2:15 Tue Kohn, Robert V., MS40, 2:25 Sat Kutz, J. Nathan, MS2, 10:15 Sat Leung, Calvin, MS172, 2:02 Mon Kolata, Bill, MS21, 2:25 Sat Kutz, J. Nathan, MS28, 2:25 Sat Leung, Vitus, MS262, 10:55 Wed Kolata, Bill, MS47, 2:25 Sat Kutz, J. Nathan, MS53, 4:35 Sat Leung, Vitus, MS262, 10:55 Wed Kolata, Bill, MS72, 2:25 Sat Kuznetsov, Sergey V, CP4, 9:40 Wed Leung, Vitus, MS287, 2:00 Wed Kolata, William G., MS21, 10:15 Sat Kyei, Yaw, CP23, 9:10 Wed LeVeque, Randall, PP102, 4:30 Sun Kolata, William G., PD1, 12:15 Sat Levy, Rachel, MS94, 9:10 Sun Kolata, William G., MS47, 2:25 Sat L Levy, Rachel, MS119, 1:30 Sun Kolata, William G., MS72, 4:35 Sat Ladenheim, Scott, CP6, 9:10 Wed Levy, Rachel, MS140, 10:00 Mon Kolda, Tamara G., MS1, 10:15 Sat Lafitte, Pauline, MS70, 4:35 Sat Levy, Rachel, MS222, 2:15 Tue Kolda, Tamara G., MS1, 10:40 Sat Laguna, Ignacio, MS107, 2:20 Sun Levy, Rachel, MS280, 2:25 Wed Kolla, Hemanth, MS107, 2:45 Sun Lahat, Dana, PP11, 4:30 Mon Lewicka, Marta, MS14, 11:30 Sat Kong, Fande, CP6, 9:55 Wed Laiu, Ming Tse P., PP105, 4:30 Sun Lewis, Allison, MS218, 2:40 Tue Kontos, Stavros, PP1, 4:30 Sun Lambers, James V., MS5, 11:05 Sat Leyffer, Sven, PD0, 6:30 Sat 192 2015 SIAM Conference on Computational Science and Engineering

Leyffer, Sven, PD0, 8:30 Sat Lignell, David O., MS20, 10:15 Sat Ltaief, Hatem, MS118, 1:30 Sun Leyffer, Sven, MS179, 1:30 Mon Lignell, David O., MS20, 10:15 Sat Ltaief, Hatem, MS145, 9:10 Mon Leyffer, Sven, MS179, 1:30 Mon Lim, Grace, MS172, 2:50 Mon Ltaief, Hatem, MS171, 1:30 Mon Leyffer, Sven, MS244, 4:25 Tue Limogiannis, Nicolas, MS146, 10:30 Mon Ltaief, Hatem, MS171, 1:55 Mon Leyffer, Sven, MS269, 10:55 Wed Lin, Fu, MS179, 2:45 Mon Lu, Qiukai, MS121, 2:20 Sun Li, Bing, MS7, 11:05 Sat Lin, Fu, MS269, 10:55 Wed Lu, Tiao, MS15, 11:05 Sat Li, Fengyan, MS15, 10:15 Sat Lin, Guang, MS213, 2:40 Tue Lubin, Miles, MS246, 5:15 Tue Li, Fengyan, MS15, 10:15 Sat Lin, Junshan, MS44, 2:50 Sat Luisier, Mathieu, MS209, 2:40 Tue Li, Fengyan, MS64, 4:35 Sat Lin, Lin, MS184, 10:00 Tue Lukaczyk, Trent W., MS33, 3:40 Sat Luo, Songting, MS64, 4:35 Sat Li, Fengyan, MS89, 9:10 Sun Lin, Lin, MS209, 2:15 Tue Lupo Pasini, Massimiliano, MS210, 2:40 Li, Fengyan, MS114, 1:30 Sun Lin, Lin, MS234, 4:25 Tue Tue Li, Gaojin, MS96, 10:00 Sun Lin, Ning, MS206, 10:25 Tue Lushi, Enkeleida, MS96, 9:10 Sun Li, Guanglian, PP8, 4:30 Sun Lin, Paul, MS68, 5:00 Sat Lushi, Enkeleida, MS96, 9:10 Sun Li, Harriet, MS91, 10:25 Sun Linder, Christian, PP6, 4:30 Sun Lushi, Enkeleida, MS122, 1:30 Sun Li, Hengguang, MS11, 11:30 Sat Lindner, Florian, PP6, 4:30 Sun Luszczek, Piotr, MS12, 10:15 Sat Li, Jichun, CP19, 10:10 Wed Lipnikov, Konstantin, PP202, 4:30 Mon Luszczek, Piotr, MS38, 2:25 Sat Li, Jing-Rebecca, MS130, 10:25 Mon Lischke, Anna, CP9, 9:10 Wed Luszczek, Piotr, MS63, 4:35 Sat Li, Longfei, MS32, 3:15 Sat Litvinenko, Alexander, MS56, 4:35 Sat Luszczek, Piotr, MS235, 4:25 Tue Li, Matthew T., CP19, 9:25 Wed Litvinenko, Alexander, PP5, 4:30 Sun Li, Qin, MS120, 1:30 Sun Litvinenko, Alexander, MS238, 5:15 Tue Luttman, Aaron B., MS144, 9:10 Mon Li, Ruo, MS248, 4:50 Tue Liu, Hong, MS299, 2:00 Wed Luttman, Aaron B., MS144, 9:10 Mon Li, Shengtai, MS233, 5:15 Tue Liu, Hong, MS299, 2:00 Wed Luttman, Aaron B., MS170, 1:30 Mon Li, Xiaofei, PP6, 4:30 Sun Liu, James, MS265, 10:55 Wed Lydon, Elizabeth, PP8, 4:30 Sun Li, Xiaolin, MS208, 2:15 Tue Liu, James, MS290, 2:00 Wed Lynn, Brianna, PP7, 4:30 Sun Li, Xiaolin, MS208, 2:15 Tue Liu, Xing, MS63, 5:50 Sat Lyon, Mark, MS66, 5:50 Sat Lyon, Mark, MS154, 10:00 Mon Li, Xiaolin, MS233, 4:25 Tue Liu, Yanchao, MS269, 11:45 Wed Li, Xiaolin, MS257, 10:55 Wed Liu, Yuan, MS204, 10:00 Tue Li, Xiaolin, MS282, 2:00 Wed Liu, Yuan, MS204, 10:25 Tue M Li, Xiaoye Sherry, PP103, 4:30 Sun Liu, Yuan, MS228, 2:15 Tue Ma, Yian, MS193, 10:25 Tue Li, Xiaoye Sherry, MS149, 10:00 Mon Liu, Yuan, MS251, 4:25 Tue Ma, Yicong, MS37, 2:25 Sat Li, Xiaoye Sherry, MS266, 10:55 Wed Loeb, Andrew, PP15, 4:30 Mon Mabuza, Sibusiso, PP1, 4:30 Sun Li, Xiaoye Sherry, MS291, 2:00 Wed Loffeld, John, MS186, 10:00 Tue Maclachlan, Scott, MS261, 10:55 Wed Li, Xingjie, MS23, 11:05 Sat Loffeld, John, MS186, 10:00 Tue Maclachlan, Scott, MS286, 2:00 Wed Li, Xingjie, MS89, 10:25 Sun Loffeld, John, MS210, 2:15 Tue Madduri, Kamesh, MS250, 4:25 Tue Li, Xingliang, MS268, 11:20 Wed Logg, Anders, PP204, 4:30 Mon Maeda, Hiroshi, MS38, 3:40 Sat Li, Zhen, PP104, 4:30 Sun Lolla, Tapovan, PP5, 4:30 Sun Maggioni, Mauro, MS300, 2:50 Wed Li, Zhen, MS242, 5:40 Tue Long, Min, MS127, 2:20 Sun Magruder, Caleb C., CP16, 10:10 Wed Li, Zhijin, MS243, 4:25 Tue Lopez, Anthony, MS198, 10:50 Tue Mahadevan, Vijay, MS175, 1:30 Mon Li, Zhilin, MS208, 3:30 Tue Lopez, Florent, MS145, 9:35 Mon Mahadevan, Vijay, PP204, 4:30 Mon Liang, Chunlei, MS123, 1:55 Sun Lotfian, Zahra S., PP14, 4:30 Mon Mahoney, Michael, MS291, 2:00 Wed Liao, Li, CP3, 9:25 Wed Lotfian, Zahra S., CP18, 9:25 Wed Main, Alex, MS57, 5:50 Sat Lifflander, Jonathan, MS129, 10:00 Mon Ltaief, Hatem, MS93, 9:10 Sun Mainini, Laura, MS55, 5:00 Sat 2015 SIAM Conference on Computational Science and Engineering 193

Maischak, Matthias, MS278, 11:20 Wed Mattis, Steven, MS84, 9:10 Sun Messina, Paul C., PP14, 4:30 Mon Malhotra, Dhairya, MS177, 2:45 Mon Mattis, Steven, MS109, 1:30 Sun Meyer, Francois G., MS29, 2:25 Sat Mandli, Kyle T., MS102, 9:35 Sun Mattis, Steven, MS109, 1:30 Sun Meyer, Miriah, MS255, 11:20 Wed Mandli, Kyle T., MS270, 10:55 Wed Maxey, Martin, PP104, 4:30 Sun Michalak, Anna, IP5, 8:15 Mon Mandli, Kyle T., MS294, 2:00 Wed May, Dave A., MS155, 10:00 Mon Michalopoulou, Zoi-Heleni, PP7, 4:30 Sun Mang, Andreas, MS214, 2:15 Tue May, Elebeoba, MS13, 10:15 Sat Miedlar, Agnieszka, CP25, 9:40 Wed Mang, Andreas, MS214, 3:30 Tue May, Elebeoba, MS39, 2:25 Sat Mieussens, Luc, MS95, 10:25 Sun Mang, Andreas, MS239, 4:25 Tue May, Sandra, MS157, 1:55 Mon Mignolet, Marc P., MS55, 5:50 Sat Mannan, Forest O., PP1, 4:30 Sun Mayo, Talea, MS166, 1:30 Mon Mikler, Armin, MS100, 9:35 Sun Manning, Cammey Cole, PD0, 6:30 Sat Mayo, Talea, MS166, 2:45 Mon Miller, Benjamin A., MS100, 9:10 Sun Miller, Benjamin A., MS100, 9:10 Sun Manning, Cammey Cole, PD0, 8:30 Sat McClarren, Ryan G., MS19, 10:15 Sat Mansour, Hassan, MS224, 2:40 Tue McClarren, Ryan G., MS45, 2:25 Sat Miller, Benjamin A., MS125, 1:30 Sun Manteuffel, Thomas, MS85, 9:10 Sun McClarren, Ryan G., MS70, 4:35 Sat Miller, Eric, MS5, 10:15 Sat Manteuffel, Thomas, MS110, 1:30 Sun McClarren, Ryan G., MS95, 9:10 Sun Miller, Eric, MS31, 2:25 Sat Manteuffel, Thomas, MS110, 1:30 Sun McClarren, Ryan G., MS120, 1:30 Sun Millman, Kenneth J., MS78, 9:10 Sun Manteuffel, Thomas, MS137, 9:10 Mon McClarren, Ryan G., PP105, 4:30 Sun Millman, Kenneth J., MS78, 9:10 Sun Manzini, Gianmarco, PP202, 4:30 Mon McClarren, Ryan G., MS147, 9:10 Mon Min, MiSun, MS18, 10:15 Sat Manzoni, Andrea, MS148, 9:10 Mon McClarren, Ryan G., MS173, 1:30 Mon Min, MiSun, MS44, 2:25 Sat Manzoni, Andrea, MS148, 9:10 Mon McClarren, Ryan, MS199, 10:00 Tue Min, MiSun, MS89, 9:10 Sun Manzoni, Andrea, MS174, 1:30 Mon McClarren, Ryan, MS223, 2:15 Tue Min, MiSun, MS114, 1:30 Sun Mardal, Kent-Andre, MS229, 2:15 Tue McCulloch, Andrew D., MS26, 10:15 Sat Ming, Ju, MS282, 3:15 Wed Mardal, Kent-Andre, MS252, 4:25 Tue McDonald, Eleanor, MS229, 3:30 Tue Minion, Michael, MS237, 4:50 Tue Marquardt, Wolfgang, PD3, 12:15 Mon McDonald, James, MS248, 5:15 Tue Minkoff, Susan E., MS88, 9:10 Sun Marques, Osni A., MS63, 4:35 Sat Mcdougall, Damon, MS109, 2:20 Sun Minkoff, Susan E., MS88, 9:10 Sun Marques, Osni A., MS258, 10:55 Wed McGraw, Carolyn, PP105, 4:30 Sun Minkoff, Susan E., MS113, 1:30 Sun Marques, Osni A., MS283, 2:00 Wed Mcgregor, Duncan A., CP15, 9:10 Wed Minkoff, Susan E., MS140, 9:10 Mon Marshall, David, PD5, 12:45 Tue McInnes, Lois Curfman, MS112, 1:30 Sun Minkoff, Susan E., MS166, 1:30 Mon Martin, Daniel, MS46, 2:25 Sat McInnes, Lois Curfman, MS112, 1:30 Sun Minkoff, Susan E., MS192, 10:00 Tue Martin, Eileen R., PP14, 4:30 Mon McInnes, Lois Curfman, MS131, 9:10 Mon Minkoff, Susan E., MS216, 2:15 Tue Martinsson, Gunnar, MS203, 10:25 Tue McInnes, Lois Curfman, MS131, 10:00 Mon Miras, Thomas, CP17, 9:25 Wed Martinsson, Gunnar, MS291, 2:25 Wed McInnes, Lois Curfman, MS247, 4:25 Tue Misra, Satyajayant, MS192, 10:50 Tue Mary, Theo, CP4, 9:55 Wed McInnes, Lois Curfman, MS247, 4:25 Tue Mitchell, Donna, MS216, 3:30 Tue Marzouk, Youssef M., MS8, 10:15 Sat Mead, Jodi, MS170, 2:45 Mon Mitchell, John A., PP15, 4:30 Mon Marzouk, Youssef M., MS34, 2:25 Sat Medina, David, PP106, 4:30 Sun Mitchell, Lawrence, MS207, 11:15 Tue Marzouk, Youssef M., MS59, 4:35 Sat Medina, Francis P., MS88, 10:25 Sun Mitchell, William F., PP2, 4:30 Sun Marzouk, Youssef M., MS132, 9:35 Mon Medvinsky, Michael, MS36, 2:50 Sat Mitchell, William F., CP26, 9:25 Wed Marzouk, Youssef M., MS183, 10:00 Tue Mehl, Miriam, PP14, 4:30 Mon Mitrano, Arthur, MS126, 2:45 Sun Masse, Danielle D., PP4, 4:30 Sun Meidani, Hadi, CP5, 9:55 Wed Moe, Scott, PP10, 4:30 Mon Mathelin, Lionel, MS55, 5:25 Sat Meister, Oliver, MS270, 10:55 Wed Mohamed, Mamdouh S., PP9, 4:30 Mon Matthews, Christopher, MS259, 11:45 Wed Meixner, Jessica, MS230, 3:30 Tue Mohammad, Zakerzadeh, MS150, 9:35 Mon Mohseni, Kamran, MS30, 3:40 Sat Matthies, Hermann, MS56, 4:35 Sat Meng, Xiong, MS23, 11:30 Sat Molavi Tabrizi, Amirhossein, PP7, 4:30 Sun Matthysen, Roel, PP11, 4:30 Mon Menhorn, Friedrich, PP5, 4:30 Sun 194 2015 SIAM Conference on Computational Science and Engineering

Molzahn, Daniel, MS269, 11:20 Wed Najm, Habib N., MS161, 1:30 Mon Nguyen, Thien Binh, MS293, 2:25 Wed Monk, Peter B., MS278, 12:10 Wed Nakajima, Kengo, MS17, 10:15 Sat Nicholls, David P., MS18, 10:15 Sat Morales Escalante, Jose A., CP12, 9:40 Wed Nakajima, Kengo, MS17, 10:40 Sat Nicholls, David P., MS44, 2:25 Sat Morel, Jim E., MS156, 1:55 Mon Nakajima, Kengo, MS43, 2:25 Sat Nicholls, David P., MS44, 3:40 Sat Morii, Youhi, PP14, 4:30 Mon Nakajima, Kengo, MS68, 4:35 Sat Nielsen, Eric, MS86, 10:25 Sun Morikuni, Keiichi, MS275, 11:20 Wed Nance, James, PP6, 4:30 Sun Nobile, Fabio, MS106, 1:30 Sun Morlighem, Mathieu, MS71, 5:00 Sat Narayan, Akil, MS191, 11:15 Tue Nordaas, Magne, MS252, 5:15 Tue Morrisey, Thomas, PP15, 4:30 Mon Narayanan, Sri Hari Krishn, MS190, 10:00 Norton, Richard A., PP5, 4:30 Sun Morrison, Rebecca, MS74, 5:25 Sat Tue Nourgaliev, Robert, MS220, 2:40 Tue Morrison, Rebecca, MS166, 2:20 Mon Narayanan, Sri Hari Krishn, MS190, 10:00 Nouy, Anthony, MS264, 11:45 Wed Morzfeld, Matthias, MS8, 10:15 Sat Tue Moser, Dieter, MS286, 2:00 Wed Narcowich, Francis J., MS50, 2:50 Sat Moser, Robert D., MS165, 1:30 Mon Nashed, Youssef, PP14, 4:30 Mon O O’Connell, Meghan, MS143, 10:25 Mon Motamed, Mohammed, MS277, 11:45 Wed Naumov, Maxim, MS163, 2:45 Mon Oden, J. Tinsley, PD3, 12:15 Mon Moulton, David, MS112, 2:20 Sun Nave, Jean-Christophe, MS66, 4:35 Sat Oesper, Layla, MS125, 1:55 Sun Moxey, David, MS67, 5:50 Sat Navon, Ionel M., MS168, 1:30 Mon Ohi, Yoshiharu, PP10, 4:30 Mon Navon, Ionel M., MS168, 1:30 Mon Moxey, David, MS103, 9:10 Sun Ohshima, Satoshi, MS43, 3:15 Sat Navon, Ionel M., MS194, 10:00 Tue Moxey, David, MS128, 1:30 Sun Okamoto, Naoya, PP9, 4:30 Mon Navon, Ionel M., MS218, 2:15 Tue Moxey, David, MS231, 3:05 Tue O’Leary, Patrick, MT2, 4:30 Mon Navon, Ionel M., MS243, 4:25 Tue Mu, Lin, MS265, 11:20 Wed O’Leary, Patrick, PD1, 12:15 Sat Mubayi, Anuj, MS192, 10:00 Tue Navon, Ionel M., MS267, 10:55 Wed Olivares, Nicole, MS119, 2:34 Sun Mubayi, Anuj, MS192, 11:15 Tue Navon, Ionel M., MS292, 2:00 Wed Oliver, Todd, MS139, 9:10 Mon Neckel, Tobias, MS34, 2:50 Sat Mueller, Juliane, MS60, 4:35 Sat Oliver, Todd, MS165, 1:30 Mon Mueller, Juliane, MS60, 4:35 Sat Neckel, Tobias, MS80, 9:10 Sun Oliver, Todd, MS161, 2:45 Mon Müller, Benjamin, MS85, 9:10 Sun Neckel, Tobias, MS105, 1:30 Sun Olson, Luke, PP205, 4:30 Mon Mundani, Ralf-Peter, MS294, 3:15 Wed Nedich, Angelia, MS104, 1:30 Sun Olson, Luke, MS254, 4:25 Tue Munoz, Francisco, MS269, 10:55 Wed Negri, Federico, MS174, 1:30 Mon Olson, Luke, MS254, 4:25 Tue Munson, Todd, MS269, 10:55 Wed Neilan, Michael J., PP207, 4:30 Mon Olson, Sarah D., MS99, 10:00 Sun Münzenmaier, Steffen, MS110, 2:45 Sun Nemati Hayati, Arash, PP206, 4:30 Mon Olvera De La Cruz, Monica, MS40, 2:50 Sat Murillo, Michael, MS199, 10:50 Tue Nemec, Marian, MS205, 10:50 Tue Ommen, Jürgen, PP11, 4:30 Mon Müthing, Steffen, PP204, 4:30 Mon Nestler, Franziska, CP20, 9:40 Wed O’Neill, Ben, MS286, 3:15 Wed Mycek, Paul, MS138, 9:10 Mon Neupane, Prapti, CP23, 9:55 Wed O’Neill, Kristin, MS21, 10:15 Sat Myers, Aaron, PP13, 4:30 Mon Newman, Chris, MS147, 10:00 Mon O’Neill, Kristin, MS47, 2:25 Sat Myers, Andrew, MS186, 10:00 Tue Nguyen, Cuong, MS62, 4:35 Sat O’Neill, Kristin, MS72, 4:35 Sat Myers, Andrew, MS186, 11:15 Tue Nguyen, Cuong, MS87, 9:10 Sun Onwunta, Akwum, MS252, 5:40 Tue Myers, Andrew, MS210, 2:15 Tue Nguyen, Cuong, MS87, 9:10 Sun Opsomer, Peter, PP10, 4:30 Mon Nguyen, Hoa, MS13, 10:15 Sat Orban, Dominique, MS9, 10:15 Sat N Nguyen, Hoa, MS16, 10:15 Sat Orban, Dominique, MS9, 11:05 Sat Nguyen, Hoa, MS16, 10:15 Sat Nadal-Quiros, Monica, PP12, 4:30 Mon Orban, Dominique, MS35, 2:25 Sat Nadarajah, Siva, MS98, 10:00 Sun Nguyen, Hoa, MS39, 2:25 Sat Ortan, Alexandra, PP14, 4:30 Mon Nagy, James G., MS170, 2:20 Mon Nguyen, Hoa, MS42, 2:25 Sat Osborn, Sarah, MS138, 10:25 Mon Najm, Habib N., MS135, 9:10 Mon Nguyen, Hoang-Ngan, MS22, 10:15 Sat Oseledets, Ivan, MS224, 3:05 Tue Najm, Habib N., MS135, 9:10 Mon Nguyen, Hoang-Ngan, MS22, 10:15 Sat Osher, Stanley J., MS2, 11:05 Sat 2015 SIAM Conference on Computational Science and Engineering 195

Osting, Braxton, MS3, 10:15 Sat Perego, Mauro, MS71, 5:25 Sat Platte, Rodrigo B., MS180, 1:55 Mon Osting, Braxton, MS29, 2:25 Sat Perego, Mauro, MS193, 10:00 Tue Plechac, Petr, MS164, 1:30 Mon Otten, Matthew, MS18, 11:05 Sat Perego, Mauro, MS217, 2:15 Tue Plews, Julia A., PP14, 4:30 Mon Ouaknin, Gaddiel, CP1, 9:55 Wed Perego, Mauro, MS242, 4:25 Tue Polizzi, Eric, MS184, 10:00 Tue Owen, J. Michael, MS167, 4:25 Tue Perez, Fernando, MS182, 11:15 Tue Polizzi, Eric, MS209, 2:15 Tue Owhadi, Houman, IP7, 8:15 Tue Perez-Arancibia, Carlos A., MS18, 11:30 Sat Polizzi, Eric, MS234, 4:25 Tue Oxberry, Geoffrey M., MS285, 2:25 Wed Perline, Kyle, PP13, 4:30 Mon Polizzi, Eric, MS273, 10:55 Wed Ozyilmaz, Emre, PP15, 4:30 Mon Persson, Per-Olof, MS123, 2:45 Sun Polizzi, Eric, MS297, 2:00 Wed Pestana, Jennifer, MS83, 9:10 Sun Pollock, Sara, MS11, 11:05 Sat P Pestana, Jennifer, MS108, 1:30 Sun Porcelli, Margherita, MS229, 2:40 Tue Pain, Christopher, MS267, 11:45 Wed Pestana, Jennifer, MS108, 1:30 Sun Pothen, Alex, MS256, 10:55 Wed Palacios, Francisco, MS302, 2:00 Wed Peterka, Tom, MS255, 11:45 Wed Pothen, Alex, MS281, 2:00 Wed Pan, Wenxiao, PP104, 4:30 Sun Peters, Bas, MS35, 2:25 Sat Pothen, Alex, MS281, 2:25 Wed Pan, Wenxiao, MS193, 10:00 Tue Peters, Michael, MS185, 11:15 Tue Poulson, Jack L., MS12, 11:30 Sat Pan, Wenxiao, MS193, 10:00 Tue Peterson, Euguenia, PP15, 4:30 Mon Poulson, Jack L., PP204, 4:30 Mon Pan, Wenxiao, MS217, 2:15 Tue Peterson, Jacob, MS223, 3:30 Tue Powell, Catherine, PP13, 4:30 Mon Pan, Wenxiao, MS242, 4:25 Tue Peterson, Kara, PP203, 4:30 Mon Proctor, Joshua, MS2, 10:15 Sat Panagiotou, Eleni, MS114, 1:30 Sun Peterson, Kara, MS296, 3:15 Wed Proctor, Joshua, MS28, 2:25 Sat Panda, Nishant, MS109, 1:55 Sun Petiton, Serge G., MS17, 10:15 Sat Proctor, Joshua L., MS28, 2:25 Sat Panda, Nishant, PP101, 4:30 Sun Petiton, Serge G., MS43, 2:25 Sat Proctor, Joshua, MS53, 4:35 Sat Panoff, Robert M., MS232, 4:25 Tue Petiton, Serge G., MS68, 4:35 Sat Proft, Jennifer, MS206, 10:00 Tue Panoff, Robert M., MS232, 4:25 Tue Petiton, Serge G., MS68, 4:35 Sat Proft, Jennifer, MS230, 2:15 Tue Papadimitriou, Costas, MS158, 2:45 Mon Petra, Cosmin G., MS195, 11:15 Tue Proft, Jennifer, MS230, 2:15 Tue Park, Hyeongkae, MS173, 1:30 Mon Petra, Noemi, MS46, 2:25 Sat Prokopenko, Andrey, CP8, 9:10 Wed Parno, Matthew, PP13, 4:30 Mon Petra, Noemi, MS71, 4:35 Sat Pulch, Roland, MS183, 11:15 Tue Parno, Matthew, MS215, 2:40 Tue Petra, Noemi, MS71, 5:50 Sat Pask, John, MS184, 10:50 Tue Petzold, Linda R., SP1, 8:30 Sat Pasquale, Laura, PP14, 4:30 Mon Petzold, Linda R., MS115, 2:45 Sun Q Qiu, Jingmei, MS19, 10:15 Sat Pathmanathan, Pras, MS51, 3:40 Sat Pfluger, Dirk, MS185, 10:50 Tue Qiu, Jingmei, MS45, 2:25 Sat Patra, Abani K., MS139, 9:10 Mon Phillips, Cynthia, PD1, 12:15 Sat Qiu, Jingmei, MS70, 4:35 Sat Patra, Abani K., MS165, 1:30 Mon Phillips, Edward, MS295, 2:50 Wed Qiu, Jingmei, MS89, 9:10 Sun Paul-Dubois-Taine, Arthur, MS30, 2:50 Sat Phillips, Jeff, PD4, 12:45 Tue Qiu, Jingmei, MS95, 9:10 Sun Pawlak, Wojciech, PP1, 4:30 Sun Phipps, Eric, PP106, 4:30 Sun Qiu, Jingmei, MS120, 1:30 Sun Pawlowski, Roger, MS142, 10:00 Mon Phipps, Eric, MS138, 9:10 Mon Payne, Joshua, MS304, 2:25 Wed Phipps, Eric, MS138, 9:35 Mon Qiu, Jingmei, MS114, 1:30 Sun Qiu, Jingmei, PP105, 4:30 Sun Peherstorfer, Benjamin, MS4, 10:15 Sat Phipps, Eric, MS164, 1:30 Mon Qiu, Jingmei, MS147, 9:10 Mon Peherstorfer, Benjamin, MS30, 2:25 Sat Pilosov, Michael, PP14, 4:30 Mon Qiu, Jingmei, MS173, 1:30 Mon Peherstorfer, Benjamin, MS55, 4:35 Sat Pinar, Ali, MS195, 10:00 Tue Peherstorfer, Benjamin, MS260, 12:10 Wed Pinar, Ali, MS219, 2:15 Tue Qiu, Jingmei, MS199, 10:00 Tue Pellegrini, Francois, MS287, 2:00 Wed Pippig, Michael, PP6, 4:30 Sun Qiu, Jingmei, MS223, 2:15 Tue Peña, Antonio J., MS235, 5:15 Tue Piret, Cecile M., MS24, 11:30 Sat Qiu, Weifeng, MS62, 5:25 Sat Peng, Jun, MS251, 4:50 Tue Piret, Cecile M., MS154, 10:25 Mon Qu, Zhilin, MS51, 2:25 Sat peng, Zhangli, MS242, 4:50 Tue Plank, Gernot, MS26, 11:30 Sat Quaife, Bryan D., MS286, 2:25 Wed Quenneville-Belair, Vincent, PP2, 4:30 Sun 196 2015 SIAM Conference on Computational Science and Engineering

R Ricketson, Lee F., MS223, 3:05 Tue Ruthotto, Lars, MS116, 1:30 Sun Rabidoux, Scott, PP14, 4:30 Mon Ridzal, Denis, PP203, 4:30 Mon Ruthotto, Lars, MS143, 9:10 Mon Rachh, Manas, MS177, 1:55 Mon Ridzal, Denis, MS274, 10:55 Wed Ruthotto, Lars, MS169, 1:30 Mon Radunskaya, Ami, MS113, 1:30 Sun Rieger, Christian, MS126, 1:55 Sun Ruthotto, Lars, MS214, 3:05 Tue Radunskaya, Ami, MS113, 2:45 Sun Ritter, Otto, MS117, 2:20 Sun Ruthotto, Lars, MS246, 4:25 Tue Ragan-Kelley, Min, PP204, 4:30 Mon Rizzi, Francesco, MS160, 1:55 Mon Ruthotto, Lars, MS246, 4:50 Tue Raghavan, Padma, PD3, 12:15 Mon Roberts, Nathan, PP204, 4:30 Mon Ruuth, Steven, MS237, 5:15 Tue Ragusa, Jean C., PP2, 4:30 Sun Robinson, Allen C., MS156, 2:20 Mon Ryan, Sarah M., MS219, 2:15 Tue Ragusa, Jean C., MS284, 2:25 Wed Rodrigo, Carmen, MS202, 11:15 Tue Ryckelynck, David, MS30, 3:15 Sat Rai, Prashant, MS213, 3:05 Tue Roe, Philip L., MS176, 1:30 Mon Rycroft, Chris H., MS220, 3:30 Tue Rajamanickam, Siva, MS141, 9:35 Mon Rogers, Ryan M., PP11, 4:30 Mon Rognes, Marie E., MS207, 10:50 Tue Rajamanickam, Siva, MS200, 10:00 Tue Rognes, Marie E., MS229, 2:15 Tue S Rajamanickam, Siva, MS250, 4:25 Tue Saad, Tony, PP206, 4:30 Mon Rognes, Marie E., MS252, 4:25 Tue Ramachandran, Prabhu, MS126, 2:20 Sun Saad, Tony, MS304, 2:50 Wed Rohrle, Oliver, MS85, 10:25 Sun Raman, Barani, MS54, 5:25 Sat Saad, Yousef, MS68, 5:25 Sat Roman, Bogdan, MS276, 12:10 Wed Ramet, Pierre, MS145, 9:10 Mon Saad, Yousef, MS273, 10:55 Wed Romero, Daniel, MS192, 10:00 Tue Rana, Anirudh Singh, MS248, 5:40 Tue Saad, Yousef, MS297, 2:00 Wed Rossmanith, James A., MS271, 10:55 Wed Ranjan, Harsh, PP9, 4:30 Mon Sachs, Ekkehard W., MS91, 10:00 Sun Rossmanith, James A., MS271, 10:55 Wed Rappoport, Juri M., PP14, 4:30 Mon Sachse, Frank B., MS26, 10:15 Sat Rossmanith, James A., MS295, 2:00 Wed Rastigejev, Yevgenii, CP24, 9:25 Wed Sachse, Frank B., MS26, 10:40 Sat Ratnaswamy, Vishagan, PP13, 4:30 Mon Rostami, Minghao W., PP9, 4:30 Mon Sachse, Frank B., MS51, 2:25 Sat Rave, Stephan, MS236, 4:25 Tue Rouet, Francois-Henry, MS291, 2:50 Wed Sadanand, Chandrika, PP8, 4:30 Sun Ravindran, S.S., MS148, 10:00 Mon Rowley, Clarence, MS260, 11:20 Wed Sadayappan, P, MS25, 11:30 Sat Ray, Jaideep, MS161, 2:20 Mon Rozza, Gianluigi, MS168, 2:45 Mon Sadeghitohidi, Ana, PP11, 4:30 Mon Ray, Navamita, MS97, 9:35 Sun Rozza, Gianluigi, MS187, 10:00 Tue Sadek, Carol, MS146, 9:10 Mon Reeves, Daniel B., PP12, 4:30 Mon Rozza, Gianluigi, MS187, 10:00 Tue Sadre-Marandi, Farrah, PP10, 4:30 Mon Reid, Andrew, PP14, 4:30 Mon Rozza, Gianluigi, MS211, 2:15 Tue Safro, Ilya, MS226, 3:30 Tue Reinarz, Anne, MS119, 1:46 Sun Rozza, Gianluigi, MS236, 4:25 Tue Safta, Cosmin, MS195, 10:00 Tue Relton, Samuel, PP11, 4:30 Mon Rozza, Gianluigi, MS260, 10:55 Wed Safta, Cosmin, MS195, 10:00 Tue Renaut, Rosemary A., MS31, 3:40 Sat Rozza, Gianluigi, MS285, 2:00 Wed Safta, Cosmin, MS219, 2:15 Tue Rennich, Steven C., MS163, 1:30 Mon Rudi, Johann, PP9, 4:30 Mon Sahni, Onkar, MS201, 10:00 Tue Rennich, Steven C., MS163, 1:30 Mon Ruede, Ulrich J., MS80, 9:10 Sun Sahni, Onkar, MS225, 2:15 Tue Resch, Michael, MS118, 1:55 Sun Ruede, Ulrich J., MS105, 1:30 Sun Sahni, Onkar, MS225, 3:30 Tue Reshniak, Viktor, CP22, 9:55 Wed Ruede, Ulrich J., MS131, 9:10 Mon Saibaba, Arvind, MS5, 10:15 Sat Restrepo, Juan M., MS218, 3:05 Tue Ruede, Ulrich J., MS131, 9:10 Mon Saibaba, Arvind, MS5, 11:30 Sat Rey, Thomas, MS173, 2:20 Mon Ruede, Ulrich J., MS197, 10:00 Tue Saibaba, Arvind, MS31, 2:25 Sat Reynolds, Daniel R., MS175, 2:20 Mon Ruede, Ulrich J., MS221, 2:15 Tue Sakkaplangkul, Puttha, PP10, 4:30 Mon Rhebergen, Sander, MS155, 9:10 Mon Rukavishnikov, Viktor, CP19, 9:10 Wed Salac, David, MS139, 9:10 Mon Rhebergen, Sander, MS155, 9:10 Mon Runborg, Olof, MS301, 3:15 Wed Salac, David, MS139, 10:00 Mon Rhebergen, Sander, MS181, 1:30 Mon Rupard, Morgan, PP14, 4:30 Mon Salac, David, MS165, 1:30 Mon Richfield, Owen, PP9, 4:30 Mon Rupp, Karl, PP204, 4:30 Mon Salgado, Abner J., MS48, 3:15 Sat Ricketson, Lee F., PP10, 4:30 Mon Ruthotto, Lars, MS91, 9:10 Sun 2015 SIAM Conference on Computational Science and Engineering 197

Salgado, Abner J., MS178, 1:55 Mon Sayas, Francisco J. J., MS278, 10:55 Wed Shankar, Varun, MS75, 4:35 Sat Salinger, Andrew, MS225, 2:40 Tue Sayas, Francisco J. J., MS303, 2:00 Wed Shankar, Varun, MS101, 9:10 Sun Salles, Nicolas, MS278, 10:55 Wed Saye, Robert, MS130, 9:35 Mon Shankar, Varun, MS126, 1:30 Sun Salles, Nicolas, MS278, 10:55 Wed Schärer, Roman P., PP105, 4:30 Sun Shao, Meiyue, MS61, 4:35 Sat Salles, Nicolas, MS303, 2:00 Wed Schatz, Martin D., MS25, 10:15 Sat Shao, Meiyue, MS61, 5:50 Sat Salomon, Julien, MS236, 4:50 Tue Schatz, Martin D., MS25, 10:15 Sat Shashkov, Mikhail, MS156, 1:30 Mon Saltzman, Jeffrey, PD1, 12:15 Sat Schiavazzi, Daniele E., MS189, 11:15 Tue Shashkov, Mikhail, MS156, 1:30 Mon Saltzman, Jeffrey, MS92, 9:10 Sun Schilders, Wil, PD0, 8:30 Sat Shashkov, Mikhail, MS167, 4:25 Tue Saltzman, Jeffrey, MS92, 9:10 Sun Schlottbom, Matthias, MS19, 11:05 Sat Shen, Han-Wei, MS255, 10:55 Wed Saltzman, Jeffrey, MS117, 1:30 Sun Schmidt, John A., MS129, 9:10 Mon Shen, Han-Wei, MS255, 12:10 Wed Samatova, Nagiza, IP1, 9:00 Sat Schmidt, Kathleen, MS135, 10:25 Mon Shen, Jiguang, MS62, 5:00 Sat Schneider, Kai, MS41, 2:50 Sat Samulyak, Roman, CP23, 9:40 Wed Shephard, Mark S., MS97, 9:10 Sun Schneider, Reinhold, MS56, 5:25 Sat Sanchez-Uribe, Manuel A., PP203, 4:30 Shephard, Mark S., MS121, 1:30 Sun Mon Schofield, Elizabeth, MS222, 2:40 Tue Sherwin, Spencer, MS103, 9:10 Sun Sanchez-Uribe, Manuel A., MS282, 2:50 Schroder, Jacob B., MS261, 10:55 Wed Wed Sherwin, Spencer, MS128, 1:30 Sun Schroder, Jacob B., MS261, 11:20 Wed Sanchez-Vizuet, Tonatiuh, MS303, 2:00 Sherwin, Spencer, MS150, 9:10 Mon Schroder, Jacob B., MS286, 2:00 Wed Wed Shiflet, Angela B., MS232, 4:25 Tue Schroeder, Chris, MS201, 10:50 Tue Sandu, Adrian, MS136, 9:10 Mon Shiflet, George W., MS232, 4:50 Tue Schroeder, Will, IP6, 11:20 Mon Sandu, Adrian, MS136, 9:10 Mon Shinar, Tamar, MS122, 2:20 Sun Schulthess, Thomas C., MS12, 10:40 Sat Sandu, Adrian, MS168, 1:30 Mon Shirokoff, David, MS41, 2:25 Sat Schulthess, Thomas C., MS118, 1:30 Sun Sandu, Adrian, MS162, 1:30 Mon Shirokoff, David, MS41, 3:15 Sat Schulz, Martin, MS82, 10:25 Sun Sandu, Adrian, MS194, 10:00 Tue Shirokoff, David, MS66, 4:35 Sat Schulz, Volker H., MS69, 5:00 Sat Sandu, Adrian, MS188, 10:00 Tue Shoemaker, Christine A., MS60, 4:35 Sat Schwab, Christoph, MS81, 9:35 Sun Sandu, Adrian, MS218, 2:15 Tue Shoemaker, Christine A., MS60, 5:50 Sat Schwab, Christoph, MS215, 2:15 Tue Shu, Chi-Wang, MS157, 2:20 Mon Sandu, Adrian, MS212, 2:15 Tue Schwartz, Fernando, PP4, 4:30 Sun Shumlak, Uri, MS271, 12:10 Wed Sandu, Adrian, MS243, 4:25 Tue Schwartz, Fernando, CP26, 9:55 Wed Siebenborn, Martin, MS229, 3:05 Tue Sandu, Adrian, MS237, 4:25 Tue Schwendeman, Donald W., MS32, 3:40 Sat Siefert, Christopher, PP203, 4:30 Mon Sandu, Adrian, MS267, 10:55 Wed Scovazzi, Guglielmo, MS57, 5:25 Sat Silva, Claudio T., MS255, 10:55 Wed Sandu, Adrian, MS292, 2:00 Wed Seal, David C., MS120, 2:20 Sun Sime, Nathan, CP3, 9:10 Wed Santosa, Fadil, MS44, 2:25 Sat Sego, Landon H., MS54, 4:35 Sat Simons, Julie, MS113, 2:20 Sun Saraswat, Jyoti, CP14, 9:10 Wed Sego, Landon H., MS54, 4:35 Sat Simpson, Olivia, PP3, 4:30 Sun Sargsyan, Khachik, MS135, 9:10 Mon Seibold, Benjamin, MS70, 5:00 Sat Slattery, Stuart, MS210, 2:15 Tue Sargsyan, Khachik, MS161, 1:30 Mon Seidel, Ed, PD3, 12:15 Mon Slaughter, Andrew, MS259, 10:55 Wed Sargsyan, Khachik, MS189, 10:00 Tue Semiyari, Hamid, PP10, 4:30 Mon Slaughter, Andrew, MS284, 2:00 Wed Sargsyan, Khachik, MS213, 2:15 Tue Sen, Arindam, PP9, 4:30 Mon Slepcev, Dejan, MS29, 2:50 Sat Sargsyan, Khachik, MS238, 4:25 Tue Senter, Michael, MS172, 2:34 Mon Sloan, Ian H., MS159, 1:30 Mon Sargsyan, Khachik, MS264, 11:20 Wed Seol, E. Seegyoung, MS97, 10:25 Sun Slota, George, MS250, 5:40 Tue Sariaydin, Selin, MS169, 1:55 Mon Shankar, Sadasivan, MS65, 5:00 Sat Smetana, Kathrin, CP18, 10:10 Wed Saunders, Michael A., MS35, 3:15 Sat Shankar, Varun, MS24, 10:15 Sat Smith, Cameron, MS97, 9:10 Sun Sayadi, Taraneh, MS86, 9:10 Sun Shankar, Varun, MS24, 10:40 Sat Smith, Cameron, MS121, 1:30 Sun Sayas, Francisco J. J., MS208, 3:05 Tue Shankar, Varun, MS50, 2:25 Sat 198 2015 SIAM Conference on Computational Science and Engineering

Smith, Cameron, PP103, 4:30 Sun Stefanescu, Razvan, MS168, 1:30 Mon Sutton, Oliver, PP202, 4:30 Mon Smith, Cameron, MS200, 10:00 Tue Stefanescu, Razvan, MS168, 1:55 Mon Svyatskiy, Daniil, PP2, 4:30 Sun Smith, Ralph C., MS33, 3:15 Sat Stefanescu, Razvan, MS194, 10:00 Tue Swiler, Laura, MS164, 2:20 Mon Smith, Ralph C., PD5, 12:45 Tue Stefanescu, Razvan, MS218, 2:15 Tue Sylvand, Guillaume, MS171, 2:45 Mon Soane, Ana Maria, CP14, 9:25 Wed Stefanescu, Razvan, MS243, 4:25 Tue Szyld, Daniel B., CP25, 9:10 Wed Socha, Katherine, MS280, 2:50 Wed Stefanescu, Razvan, MS267, 10:55 Wed Sockwell, Chad, PP15, 4:30 Mon Stefanescu, Razvan, MS292, 2:00 Wed T Solonen, Antti, MS33, 2:50 Sat Steffen, Kyle R., MS10, 11:05 Sat Taddei, Tommaso, MS285, 2:50 Wed Somayajula, Sangeetha, MS117, 1:55 Sun Stein, David, MS122, 1:55 Sun Taitano, William T., PP105, 4:30 Sun Sorensen, Danny C., MS28, 3:15 Sat Steiner, Johannes, MS79, 9:10 Sun Taitano, William T., MS199, 11:15 Tue Sosonkina, Masha, MS61, 5:00 Sat Steiner, Johannes, MS79, 9:10 Sun Takahashi, Daisuke, MS283, 2:50 Wed Sousedik, Bedrich, MS264, 12:10 Wed Steinmetz, Philipp, PP15, 4:30 Mon Takaki, Nick, PP14, 4:30 Mon Spantini, Alessio, MS8, 11:30 Sat Sticko, Simon, MS36, 3:15 Sat Takaki, Tomohiro, MS124, 2:45 Sun Spector, Michael, MS299, 2:00 Wed Still, Charles (Bert) H., MS279, 10:55 Wed Takhtaganov, Timur, MS298, 2:50 Wed Spector, Michael, MS299, 2:25 Wed Still, Charles (Bert) H., MS304, 2:00 Wed Takizawa, Hiroyuki, MS258, 12:10 Wed Spencer, Benjamin, MS259, 12:10 Wed Stinchcombe, Adam, MS96, 10:25 Sun Talnikar, Chaitanya, MS111, 2:45 Sun Spicer, Amy, MS94, 9:42 Sun Stinis, Panos, PP104, 4:30 Sun Tamellini, Lorenzo, MS215, 3:05 Tue Spiller, Elaine, MS165, 2:45 Mon Stobb, Michael T., CP20, 9:55 Wed Tang, Hansong, CP16, 9:55 Wed Spiteri, Raymond J., MS136, 9:10 Mon Stogner, Roy, MS165, 1:55 Mon Tang, Qi, MS204, 10:00 Tue Spiteri, Raymond J., MS162, 1:30 Mon Stoyanov, Miroslav, MS134, 10:00 Mon Tang, Qi, MS228, 2:15 Tue Spiteri, Raymond J., MS188, 10:00 Tue Strogies, Nikolai, PP15, 4:30 Mon Tang, Qi, MS251, 4:25 Tue Spiteri, Raymond J., MS212, 2:15 Tue Strogies, Nikolai, CP14, 9:55 Wed Tang, Qi, MS271, 10:55 Wed Spiteri, Raymond J., MS237, 4:25 Tue Stronz, James A., MS146, 9:42 Mon Tang, Qi, MS271, 11:45 Wed Spiteri, Raymond J., MS237, 4:25 Tue Strzodka, Robert, MS221, 3:30 Tue Tang, Qi, MS295, 2:00 Wed Springer, Daryl J., MS50, 3:40 Sat Sudret, Bruno, MS189, 10:00 Tue Tanguy, Sebastien, MS245, 4:50 Tue Srinivasan, S, PP11, 4:30 Mon Sun, Andy, MS219, 2:40 Tue Tani, Mattia, MS83, 10:25 Sun Stadler, Georg, MS8, 10:15 Sat Sun, Pengtao, MS37, 2:50 Sat Tartakovsky, Alexander, MS193, 11:15 Tue Stadler, Georg, MS46, 2:25 Sat Sundahl, Bryan E., PP14, 4:30 Mon Tausch, Johannes, MS278, 11:45 Wed Stadler, Georg, MS34, 2:25 Sat Sundar, Hari, MS62, 4:35 Sat Teckentrup, Aretha, MS133, 9:35 Mon Stadler, Georg, MS71, 4:35 Sat Sundar, Hari, MS62, 4:35 Sat Temam, Roger M., MS268, 10:55 Wed Stadler, Georg, MS59, 4:35 Sat Sundar, Hari, MS87, 9:10 Sun Tempone, Raul F., MS191, 10:50 Tue Stadler, Georg, MS59, 4:35 Sat Sundnes, Joakim, MS76, 4:35 Sat Tendulkar, Saurabh, MS121, 1:30 Sun Stafford, Shane, MS284, 2:00 Wed Sundnes, Joakim, MS76, 4:35 Sat ter Maten, E. Jan W., MS162, 2:20 Mon Starinshak, David, MS167, 4:50 Tue Surowiec, Thomas M., MS298, 2:00 Wed Teran, Joseph, MS196, 10:50 Tue Stark, Philip B., MS78, 9:10 Sun Sussman, Daniel L., MS125, 2:20 Sun Teranishi, Keita, MS82, 9:10 Sun Starke, Gerhard, MS85, 9:10 Sun Sussman, Mark, MS196, 10:00 Tue Teranishi, Keita, MS107, 1:30 Sun Starke, Gerhard, MS85, 9:35 Sun Sussman, Mark, MS220, 2:15 Tue Teranishi, Keita, MS134, 9:10 Mon Starke, Gerhard, MS110, 1:30 Sun Sussman, Mark, MS245, 4:25 Tue Teranishi, Keita, MS160, 1:30 Mon Starke, Gerhard, MS137, 9:10 Mon Sussman, Mark, MS245, 4:25 Tue Terashima, Hiroshi, PP9, 4:30 Mon Stathopoulos, Andreas, MS297, 2:50 Wed Sutherland, James C., MS20, 11:05 Sat Terejanu, Gabriel, MS139, 9:35 Mon Steck, Sebastian, MS174, 2:20 Mon Sutherland, James C., MS129, 10:25 Mon Terrasse, Isabelle, MS151, 10:25 Mon 2015 SIAM Conference on Computational Science and Engineering 199

Terrel, Andy R., MT2, 10:25 Mon Turcksin, Bruno, MS207, 10:25 Tue Van Straalen, Brian, PP103, 4:30 Sun Terzi, Evamaria, MS1, 11:30 Sat Turkiyyah, George M., PP102, 4:30 Sun Van Straalen, Brian, MS200, 10:00 Tue Tezaur, Radek, MS48, 2:50 Sat Turner, Peter R., MS146, 9:10 Mon Van ‘t Wout, Elwin, MS303, 3:15 Wed Thompson, Terese, PP9, 4:30 Mon Turner, Peter R., MS172, 1:30 Mon Vandereycken, Bart, MS224, 2:15 Tue Thornock, Jeremy, PP206, 4:30 Mon Turner, Peter R., MS280, 2:00 Wed Vandereycken, Bart, MS224, 2:15 Tue Thornton, Anthony R., MS181, 1:30 Mon Turner, Peter R., MS280, 2:00 Wed Vandereycken, Bart, MS249, 4:25 Tue Thrush, Brandon D., MS146, 9:58 Mon Varduhn, Vasco, CP11, 9:55 Wed Thurston, Courtney E., PP7, 4:30 Sun Vaughan, Courtenay T., CP11, 9:10 Wed Tian, Xiaochuan, PP10, 4:30 Mon U Udagedara, Indika G., MS144, 10:25 Mon Vazquez-Gonzalez, Thibaud, PP1, 4:30 Sun Tobin, William R., MS250, 4:25 Tue Vecharynski, Eugene, MS273, 11:45 Wed Uddameri, Elma A., MS216, 2:15 Tue Tokman, Mayya, MS136, 10:25 Mon Veerapaneni, Shravan, MS151, 10:00 Mon Uddameri, Elma A., MS216, 3:05 Tue Tomov, Stanimire, MS12, 10:15 Sat Udell, Madeleine R., PP11, 4:30 Mon Venkatasubramanian, Vaithianathan, Tomov, Stanimire, MS38, 2:25 Sat MS256, 10:55 Wed Uekermann, Benjamin, MS6, 11:05 Sat Tomov, Stanimire, MS63, 4:35 Sat Venkatasubramanian, Vaithianathan, MS256, Ufimtsev, Vladimir, MS125, 1:30 Sun 10:55 Wed Tomov, Vladimir, MS279, 11:20 Wed Ulbrich, Michael, MS252, 4:25 Tue Tornberg, Anna-Karin, MS22, 10:40 Sat Venkatasubramanian, Vaithianathan, Ullmann, Sebastian, PP13, 4:30 Mon MS281, 2:00 Wed Toroczkai, Zoltan, MS1, 11:05 Sat Ullrich, Paul, MS272, 10:55 Wed Vermeire, Brian C., MS98, 9:10 Sun Torrilhon, Manuel, MS19, 11:30 Sat Ullrich, Paul, MS272, 10:55 Wed Vermeire, Brian C., MS123, 1:30 Sun Toth, Alexander R., PP14, 4:30 Mon Ullrich, Paul, MS296, 2:00 Wed Vermeire, Brian C., MS123, 2:20 Sun Toth, Gyula I., CP7, 9:10 Wed Uminsky, David T., MS140, 9:10 Mon Townsend, Alex, MS180, 2:20 Mon Vermeire, Brian C., MS150, 9:10 Mon Uminsky, David T., MS140, 10:25 Mon Tranquilli, Paul, MS136, 10:00 Mon Vermeire, Brian C., MS176, 1:30 Mon Urban, Karsten, MS236, 5:15 Tue Trask, Nathaniel, MS193, 10:00 Tue Veroy-Grepl, Karen, MS211, 3:30 Tue Urombo, Jack, PP10, 4:30 Mon Vervliet, Nico, MS249, 5:40 Tue Trask, Nathaniel, MS217, 2:15 Tue Uryasev, Stan, MS298, 2:25 Wed Vidal-Codina, Ferran, MS183, 10:50 Tue Trask, Nathaniel, MS217, 2:15 Tue Villa, Umberto E., MS164, 1:55 Mon Trask, Nathaniel, MS242, 4:25 Tue Vincent, Peter E., MS98, 9:10 Sun Traub, Thomas, MS303, 2:25 Wed V Vaaland, Uno B., CP13, 9:40 Wed Vincent, Peter E., MS98, 9:10 Sun Treister, Eran, CP2, 9:55 Wed Valeev, Edward F., MS25, 11:05 Sat Trout, Charlotte M., MS232, 5:40 Tue Vincent, Peter E., MS123, 1:30 Sun Valiathan, Chandni, MS92, 9:35 Sun Tryggvason, Gretar, MS52, 4:35 Sat Vincent, Peter E., MS150, 9:10 Mon Van Bloemen Waanders, Bart G., PP14, 4:30 Vincent, Peter E., MS176, 1:30 Mon Tryggvason, Gretar, MS52, 4:35 Sat Mon Vishnampet, Ramanathan, PP9, 4:30 Mon Tsang, Alan Cheng Hou, MS96, 9:35 Sun Van Bloemen Waanders, Bart G., MS244, Tsilifis, Panagiotis, PP208, 4:30 Mon 4:50 Tue Vogelius, Michael S., MS65, 5:25 Sat Tu, Jonathan H., MS99, 9:10 Sun Van Bloemen Waanders, Bart G., MS274, Vogl, Chris, MS257, 11:45 Wed Tu, Jonathan H., MS99, 9:35 Sun 10:55 Wed Vogman, Genia, CP12, 9:10 Wed Tu, Shuang Z., MS176, 2:20 Mon Van Bloemen Waanders, Bart G., MS298, Vokt, Joseph, PP11, 4:30 Mon Tu, Xuemin, MS290, 2:50 Wed 2:00 Wed Volfovsky, Alexander, PP13, 4:30 Mon Tuma, Miroslav, MS275, 11:45 Wed van Gennip, Yves, MS29, 3:40 Sat Vollmer, Charlie, PP5, 4:30 Sun Tuncer, Ozan, MS262, 11:45 Wed Van Huffel, Sabine, IP8, 11:50 Tue Voth, Gregory, PP104, 4:30 Sun Turc, Catalin, MS18, 10:40 Sat van Leeuwen, Tristan, MS35, 3:40 Sat Vuduc, Richard, MS27, 3:15 Sat Turcksin, Bruno, PP106, 4:30 Sun Van Loan, Charles, MS25, 10:40 Sat Vuik, Kees, CP6, 9:25 Wed Van Straalen, Brian, MS127, 1:55 Sun 200 2015 SIAM Conference on Computational Science and Engineering

W Watson, Jean-Paul, MS195, 10:00 Tue Wilson, Greg, MT3, 2:15 Tue Wachtel, Andreas, MS119, 2:50 Sun Watson, Jean-Paul, MS219, 2:15 Tue Wilson, Greg, MT4, 4:25 Tue Walker, Homer F., MS142, 10:25 Mon Webster, Clayton G., MS81, 9:10 Sun Wirkus, Stephen, MS88, 9:10 Sun Wall, Samuel, MS76, 4:35 Sat Webster, Clayton G., MS106, 1:30 Sun Wirkus, Stephen, MS113, 1:30 Sun Wall, Samuel, MS76, 5:50 Sat Webster, Clayton G., MS106, 2:20 Sun Wirkus, Stephen, MS140, 9:10 Mon Walsh, Scott, MS84, 10:00 Sun Webster, Clayton G., MS133, 9:10 Mon Wirkus, Stephen, MS166, 1:30 Mon Walther, Andrea, MS69, 4:35 Sat Webster, Clayton G., MS159, 1:30 Mon Wirkus, Stephen, MS192, 10:00 Tue Walther, Andrea, MS69, 5:50 Sat Webster, Clayton G., PP201, 4:30 Mon Wirkus, Stephen, MS216, 2:15 Tue Waluga, Christian, MS93, 9:35 Sun Webster, Clayton G., MS185, 10:00 Tue Witherden, Freddie, MS128, 2:45 Sun Wang, Jialei, PP11, 4:30 Mon Wei, Ermin, MS104, 2:20 Sun Wittmann, Roland, MS273, 11:20 Wed Wang, Jianxun, CP13, 9:10 Wed Wei, Qi-Huo, MS42, 3:15 Sat Wojciechowski, Keith, PP2, 4:30 Sun Wang, Junping, PP207, 4:30 Mon Weile, Daniel, MS303, 2:50 Wed Wolf, Michael, MS200, 11:15 Tue Wang, Junping, MS290, 2:25 Wed Weinzierl, Tobias, MS270, 10:55 Wed Wolfson-Pou, Jordi, MS197, 10:25 Tue Wang, Kainan, MS8, 11:05 Sat Weinzierl, Tobias, MS270, 12:10 Wed Womeldorff, Geoff, CP11, 9:40 Wed Wang, Li, MS70, 5:25 Sat Weinzierl, Tobias, MS294, 2:00 Wed Wong, Christopher, MS94, 9:58 Sun Wang, Lu, MS226, 3:05 Tue Weiser, Martin, MS79, 10:00 Sun Wong, Elizabeth, MS179, 1:55 Mon Wang, Mengdi, MS104, 2:45 Sun Weiss, Robert, MS270, 11:45 Wed Wong, Kwai L., CP3, 9:40 Wed Wang, Pochuan, CP7, 9:25 Wed Weller, Hilary, MS130, 10:00 Mon Wong, Tony E., PP13, 4:30 Mon Wang, Qing, PP12, 4:30 Mon Wen, Ci, PP15, 4:30 Mon Wong, Yau Shu, MS268, 12:10 Wed Wang, Qiqi, MS86, 9:10 Sun Weng, Tsui-Wei, PP5, 4:30 Sun Woodring, Jonathan, MT1, 12:10 Wed Wang, Qiqi, MS111, 1:30 Sun Westerink, Joannes, MS206, 10:50 Tue Woodring, Jonathan, MT1, 9:10 Sun Wang, Qiqi, MS202, 10:50 Tue Whitaker, Ross, MS54, 5:00 Sat Woodring, Jonathan, MT2, 1:30 Sun Wang, Ting, PP13, 4:30 Mon White, Ryan, MS94, 10:30 Sun Woodward, Carol S., PD0, 6:30 Sat Wang, Weichung, MS283, 3:15 Wed Whitehead, Jared P., MS293, 2:00 Wed Woodward, Carol S., PP103, 4:30 Sun Wang, Yanqiu, MS290, 3:15 Wed Wild, Stefan, MS60, 5:25 Sat Woodward, Carol S., MS142, 9:35 Mon Wang, Yaohong, CP21, 9:10 Wed Wildey, Tim, PP13, 4:30 Mon Woodward, Carol S., MS162, 2:45 Mon Wang, Ying, MS114, 1:55 Sun Willcox, Karen E., MS53, 5:50 Sat Woodward, Paul R., MS279, 10:55 Wed Wang, Yuhang, PP12, 4:30 Mon Willcox, Karen E., MS131, 9:10 Mon Woopen, Michael, MS87, 10:25 Sun Wang, Zhijun, PP12, 4:30 Mon Willcox, Karen E., MS131, 9:35 Mon Wortmann, Daniel, MS184, 11:15 Tue Warburton, Tim, MS43, 2:25 Sat Willert, Jeffrey A., MS19, 10:15 Sat Wright, Grady B., MS24, 10:15 Sat Warburton, Timothy, MS103, 10:25 Sun Willert, Jeffrey A., MS45, 2:25 Sat Wright, Grady B., MS50, 2:25 Sat Ward, Joseph, MS50, 2:25 Sat Willert, Jeffrey A., MS70, 4:35 Sat Wright, Grady B., MS75, 4:35 Sat Ward, Rachel, MS106, 2:45 Sun Willert, Jeffrey A., MS95, 9:10 Sun Wright, Grady B., MS101, 9:10 Sun Ward, Rachel, MS213, 3:30 Tue Willert, Jeffrey A., MS120, 1:30 Sun Wright, Grady B., MS126, 1:30 Sun Wasilkowski, Grzegorz W., MS81, 10:25 Sun Willert, Jeffrey A., PP105, 4:30 Sun Wrobel, Jacek, MS282, 2:00 Wed Wu, Lingfei, PP15, 4:30 Mon Wathen, Andrew J., MS155, 9:10 Mon Willert, Jeffrey A., MS147, 9:10 Mon Wu, Lingfei, CP25, 9:25 Wed Wathen, Andrew J., MS181, 1:30 Mon Willert, Jeffrey A., MS173, 1:30 Mon Wu, Yuqi, MS55, 4:35 Sat Wathen, Andy, MS83, 9:10 Sun Willert, Jeffrey A., MS199, 10:00 Tue Wathen, Andy, MS83, 9:10 Sun Willert, Jeffrey A., MS223, 2:15 Tue Wathen, Andy, MS108, 1:30 Sun Wilson, Anastasia B., PP12, 4:30 Mon X Watkins, Daniel, PP13, 4:30 Mon Wilson, Greg, MT3, 4:30 Mon Xiao, Feng, MS196, 10:00 Tue Watson, Cody, MS172, 1:46 Mon Wilson, Greg, MT4, 4:30 Mon Xiao, Feng, MS220, 2:15 Tue 2015 SIAM Conference on Computational Science and Engineering 201

Xiao, Feng, MS220, 2:15 Tue Yano, Masayuki, MS187, 10:25 Tue Zhang, Linan, MS172, 2:18 Mon Xiao, Feng, MS245, 4:25 Tue Ye, Xiu, MS265, 10:55 Wed Zhang, Mengping, MS228, 2:15 Tue Xie, Xiaoping, MS265, 12:10 Wed Yetkin, Emrullah Fatih, MS134, 9:35 Mon Zhang, Qinghai, MS245, 5:40 Tue Xin, Zixing, MS241, 5:15 Tue Yin, Wotao, MS104, 1:30 Sun Zhang, Shangyou, MS265, 11:45 Wed Xing, Yulong, PP105, 4:30 Sun Yin, Wotao, MS104, 1:55 Sun Zhang, Shun, MS152, 9:10 Mon Xing, Yulong, MS257, 10:55 Wed Ying, Lexing, MS27, 3:40 Sat Zhang, Shun, MS178, 1:30 Mon Xiu, Dongbin, MS191, 10:00 Tue Yokota, Rio, MS177, 1:30 Mon Zhang, Shun, MS178, 2:45 Mon Xiu, Dongbin, MS191, 10:00 Tue Yonkee, Nathan, CP3, 9:55 Wed Zhang, Weijian, MS246, 5:40 Tue Xiu, Dongbin, MS215, 2:15 Tue Yoo, Yeonjoo, PP12, 4:30 Mon Zhang, Xiangxiong, MS49, 3:15 Sat Xiu, Dongbin, MS240, 4:25 Tue Yordanov, Pencho, PP208, 4:30 Mon Zhang, Xu, MS152, 9:35 Mon Xiu, Dongbin, MS264, 10:55 Wed Yordanov, Pencho, CP5, 9:25 Wed Zhang, Xu, MS282, 2:25 Wed Yoshimura, Shinobu, IP3, 8:15 Sun Xiu, Dongbin, MS289, 2:00 Wed Zhang, Yanzhi, CP20, 9:25 Wed Younes, Laurent, MS214, 2:15 Tue Xu, Jinchao, PP104, 4:30 Sun Zhang, Yin, MS249, 5:15 Tue Yu, Haijun, MS64, 5:25 Sat Xu, Kun, MS64, 5:00 Sat Zhang, Yongtao, MS204, 10:00 Tue Yu, Hui, MS15, 11:30 Sat Xu, Ling, MS114, 2:20 Sun Zhang, Zheng, PP5, 4:30 Sun Yu, Lijun, PP12, 4:30 Mon Xu, Xiaowen, CP8, 9:40 Wed Zhang, Zheng, MS289, 3:15 Wed Yu, Yue, MS57, 5:00 Sat Xu, Yangyang, MS249, 4:50 Tue Zhao, Lin, PP9, 4:30 Mon Yu, Yue, MS114, 2:45 Sun Xu, Yuanwei, PP13, 4:30 Mon Zheng, Mengdi, MS240, 4:50 Tue Yue, Pengtao, CP21, 9:25 Wed Xu, Zhengfu, MS251, 4:25 Tue zheng, Wen, MS220, 3:05 Tue Xu, Zhiliang, MS204, 10:50 Tue Zhong, Xinghui, MS49, 3:40 Sat Xu, Zhiliang, MS233, 4:50 Tue Z Zhou, Aihui, MS234, 4:25 Tue Zabaras, Nicholas, MS191, 10:25 Tue Zhou, Beckett, MS302, 2:50 Wed Zabaras, Nicholas, CP5, 9:10 Wed Zhou, Dong, CP18, 9:40 Wed Y Zabaras, Nicholas, CP13, 9:25 Wed Zhou, Tao, MS189, 10:50 Tue Yakovlev, Sergey B., MS87, 9:35 Sun Zaharatos, Brian, MS58, 5:50 Sat Zhou, Tao, MS240, 5:15 Tue Yamanaka, Akinori, MS124, 2:20 Sun Zahr, Matthew J., MS4, 11:05 Sat Zhou, Yongcheng, MS257, 11:20 Wed Yamazaki, Ichitaro, MS291, 3:15 Wed Zakerzadeh, Seyed Hamed, CP10, 9:10 Wed Zhu, Anna, MS94, 10:14 Sun Yan, Bokai, MS120, 2:45 Sun Zander, Elmar, MS238, 5:40 Tue Zhu, Hongyu, MS292, 2:25 Wed Yan, Jue, MS233, 5:40 Tue Zavala, Victor, MS244, 4:25 Tue Zhu, Xueyu, MS289, 2:25 Wed Yang, Chao, MS184, 10:00 Tue Zeng, Xianyi, CP18, 9:55 Wed Zhu, Yunrong, MS11, 10:15 Sat Yang, Chao, MS209, 2:15 Tue Zepeda-Núñez, Leonardo, MS119, 1:30 Sun Zhu, Yunrong, MS11, 10:15 Sat Yang, Chao, MS234, 4:25 Tue Zhang, Fan, PP14, 4:30 Mon Zhu, Yunrong, MS37, 2:25 Sat Yang, He, MS49, 2:25 Sat Zhang, Guannan, MS81, 9:10 Sun Zimmermann, Ralf, MS30, 2:25 Sat Yang, Ulrike M., PP103, 4:30 Sun Zhang, Guannan, MS106, 1:30 Sun Zorin, Denis, MS227, 2:40 Tue Yang, Ulrike M., MS149, 9:10 Mon Zhang, Guannan, MS133, 9:10 Mon Zosso, Dominique, MS3, 10:15 Sat Yang, Ulrike M., MS175, 1:30 Mon Zhang, Guannan, MS133, 10:25 Mon Zosso, Dominique, MS29, 2:25 Sat Yang, Ulrike Meier, MS149, 9:10 Mon Zhang, Guannan, MS159, 1:30 Mon Zulehner, Walter, MS229, 2:15 Tue Yang, Xiu, MS189, 10:25 Tue Zhang, Guannan, PP201, 4:30 Mon Zupanski, Milija, MS243, 4:50 Tue Yang, Yang, MS23, 10:15 Sat Zhang, Guannan, MS185, 10:00 Tue Zwicknagl, Barbara, MS101, 9:10 Sun Yang, Yang, MS49, 2:25 Sat Zhang, Hong, MS141, 10:25 Mon Yang, Yang, MS49, 2:50 Sat Zhang, Hong, MS212, 3:05 Tue Yang, Yong, PP2, 4:30 Sun Zhang, Hongxuan, MS254, 5:40 Tue Yang, Zhang, CP7, 9:55 Wed 202 2015 SIAM Conference on Computational Science and Engineering

Notes 2015 SIAM Conference on Computational Science and Engineering 203

Conference Budget SIAM Conference on Computational Science & Engineering March 14 - 18, 2015 Salt Lake City, UT

Expected Paid Attendance: 1374

Revenue Registration Income $463,255 Total $463,255

Expenses Printing $12,200 Organizing Committee $6,500 Invited Speakers $42,600 Food and Beverage $148,700 AV Equipment/ Room Rental and Telecommunication $92,000 Advertising $12,000 Conference Labor (including benefits) $101,710 Professional Services (Recording / Mobile App / Child Care) $27,700 Other (supplies, staff travel, freight, misc.) $11,000 Administrative $46,042 Accounting/Distribution & Shipping $24,551 Information Systems $44,267 Customer Service $$,16,720 Marketing $26,262 Office Space (Building) $16,611 Other SIAM Services $17,544 Total: $646,407

Net Conference Expense: ($183,152)

Support Provided by SIAM: $183,152 $0

Estimated Support for Travel Awards not included above: Early Career and Students 83 $54,750 The Calvin L. Rampton Salt Palace Convention Center Floor Plan