Curriculum Vitae
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Emery Berger Curriculum Vitae
College of Information and Computer Sciences Emery Berger University of Massachusetts Amherst [email protected] Amherst, MA 01003 http://www.emeryberger.com RESEARCH INTERESTS Design and implementation of programming languages, with a focus on automatically improving reliability, security, and performance. EDUCATION Ph.D., Computer Science, UNIVERSITY OF TEXAS AT AUSTIN, August 2002 Thesis: Memory Management for High-Performance Applications Advisor: Kathryn S. McKinley M.S., Computer Science, UNIVERSITY OF TEXAS AT AUSTIN, December 1991 B.S., Computer Science, UNIVERSITY OF MIAMI, May 1988 ACADEMIC EXPERIENCE Professor, UNIVERSITY OF MASSACHUSETTS AMHERST, 2014–present Visiting Researcher, UNIVERSITY OF WASHINGTON, 2018–9 Visiting Researcher, MICROSOFT RESEARCH, 2005, 2006, 2011, 2013, 2015, 2016, 2018–9 Associate Professor, UNIVERSITY OF MASSACHUSETTS AMHERST, 2008–2014 Associate Researcher, BARCELONA SUPERCOMPUTING CENTER, 2010–2013 Visiting Professor, UNIVERSITAT POLITÈCNICA DE CATALUNYA, 2008–2009 Assistant Professor, UNIVERSITY OF MASSACHUSETTS AMHERST, 2002–2008 Research Intern, MICROSOFT RESEARCH, Summer 2000 & 2001 Graduate Research Assistant, UNIVERSITY OF TEXAS AT AUSTIN, 1997–2002 PROFESSIONAL EXPERIENCE Systems Analyst, UNIVERSITY OF TEXAS AT AUSTIN, 1995–2000 Teacher, BENJAMIN FRANKLIN INTERNATIONAL SCHOOL, Barcelona, Spain, 1992–1994 Systems Analyst, APPLIED RESEARCH LABORATORIES: UT-AUSTIN, 1990–1992 Instructor, THE PRINCETON REVIEW, Austin, Texas, 1989–1990 Teaching Assistant, UNIVERSITY OF TEXAS AT AUSTIN, 1989–1990 -
Andrew W. Appel, Curriculum Vitae
Case 1:17-cv-02989-AT Document 855-3 *SEALED* Filed 09/01/20 Page 1 of 56 IN THE UNITED STATES DISTRICT COURT FOR THE NORTHERN DISTRICT OF GEORGIA ATLANTA DIVISION DONNA CURLING, ET AL., Plaintiffs, v. Civil Action No. 1:17-CV-2989-AT BRAD RAFFENSPERGER, ET AL., Defendants. DECLARATION OF ANDREW W. APPEL IN SUPPORT OF MOTION FOR PRELIMINARY INJUNCTION ANDREW W. APPEL, declares, under penalty of perjury, pursuant to 28 U.S.C. § 1746, that the following is true and correct: 1. My name is Andrew W. Appel. 2. I am the Eugene Higgins Professor of Computer Science at Princeton University, where I have been on the faculty since 1986 and served as Department Chair from 2009-2015. I have also served as Director of Undergraduate Studies, Director of Graduate Studies, and Associate Chair in that department. I have served as Editor in Chief of ACM Transactions on Programming Languages and Systems, the leading journal in my field. In 1998 I was elected a Fellow of the 1 ny-1984930 v3 Case 1:17-cv-02989-AT Document 855-3 *SEALED* Filed 09/01/20 Page 2 of 56 Association for Computing Machinery, the leading scientific and professional society in Computer Science. 3. I previously provided a Declaration in support of the Curling Plaintiffs’ Reply in Support of their Motion for Preliminary Injunction on December 13, 2019 (Dkt. No. 681-3). My 2019 Declaration is attached as Exhibit A. I have reviewed my 2019 Declaration and my previous findings and analyses remain the same; accordingly, I incorporate by reference my prior Declaration in its entirety, subject to the additional opinions I offer here. -
Beyond AOP: Toward Naturalistic Programming
Beyond AOP: Toward Naturalistic Programming Cristina Videira Lopes, Paul Dourish, David H. Lorenz and Karl Lieberherr lopes, jpd @ ics.uci.edu lorenz, lieber @ ccs.neu.edu This paper has been accepted for publication in the proceedings of the OOPSLA Onward! track, 2003, and will be subjected to copyright. This document is still not in its final version, and should not be referenced or cited until its official publication. It has been made available to you in response to a personal request. Additional distribution requests should be made directly to the authors. PLEASE DO NOT DISTRIBUTE. Beyond AOP: Toward Naturalistic Programming Cristina Videira Lopes1, Paul Dourish1, David H. Lorenz2, Karl Lieberherr2 1University of California, Irvine 2Northeastern University School of Information and Computer Science College of Computer & Information Science Irvine, CA 92697 Boston, MA 02115 {lopes,jpd}@ics.uci.edu {lorenz,lieber}@ccs.neu.edu Abstract Software understanding (for documentation, maintenance or evolution) is one of the longest-standing problems in Computer Science. The use of “high-level” programming paradigms and object-oriented languages helps, but fundamentally remains far from solving the problem. Most programming languages and systems have fallen prey to the assumption that they are supposed to capture idealized models of computation inspired by deceptively simple metaphors such as objects and mathematical functions. Aspect-oriented programming languages have made a significant break through by noticing that, in many situations, humans think and describe in crosscutting terms. In this paper we suggest that the next break through would require looking even closer to the way humans have been thinking and describing complex systems for thousand of years using natural languages. -
Anomaly-Free Component Adaptation with Class Overriding Atanas Radenski Chapman University, [email protected]
Chapman University Chapman University Digital Commons Mathematics, Physics, and Computer Science Science and Technology Faculty Articles and Faculty Articles and Research Research 2004 Anomaly-Free Component Adaptation with Class Overriding Atanas Radenski Chapman University, [email protected] Follow this and additional works at: http://digitalcommons.chapman.edu/scs_articles Part of the Programming Languages and Compilers Commons Recommended Citation Radenski, A. Anomaly-Free Component Adaptation with Class Overriding. Journal of Systems and Software, Elsevier Science, Vol. 71, Issues 1-2, 2004, 37-48. doi: 10.1016/S0164-1212(02)00137-1 This Article is brought to you for free and open access by the Science and Technology Faculty Articles and Research at Chapman University Digital Commons. It has been accepted for inclusion in Mathematics, Physics, and Computer Science Faculty Articles and Research by an authorized administrator of Chapman University Digital Commons. For more information, please contact [email protected]. Anomaly-Free Component Adaptation with Class Overriding Comments This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Journal of Systems and Software, volume 71, issues 1-2, 2004 following peer review. The definitive publisher-authenticated version is available online at DOI:10.1016/S0164-1212(02)00137-1 The rC eative Commons license below applies only to this version of the article. Creative Commons License This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License. Copyright Elsevier This article is available at Chapman University Digital Commons: http://digitalcommons.chapman.edu/scs_articles/211 Page 1: Atanas Radenski: Anomaly-Free Component Adaptation with Class Overriding Anomaly-Free Component Adaptation with Class Overriding Atanas Radenski Chapman University Department of Computer Science, Mathematics, and Physics One University Drive Orange, CA 92866, U.S.A. -
Verified Three-Way Program Merge
Verified Three-Way Program Merge MARCELO SOUSA, University of Oxford, United Kingdom ISIL DILLIG, University of Texas at Austin, United States SHUVENDU K. LAHIRI, Microsoft Research, United States Even though many programmers rely on 3-way merge tools to integrate changes from different branches, such tools can introduce subtle bugs in the integration process. This paper aims to mitigate this problem by defining a semantic notion of conflict-freedom, which ensures that the merged program does not introduce new unwanted behaviors. We also show how to verify this property using a novel, compositional algorithm that combines lightweight summarization for shared program fragments with precise relational reasoning for the modifications. Towards this goal, our method uses a 4-way differencing algorithm on abstract syntax trees to represent different program versions as edits applied to a shared program with holes. This representation allows our verification algorithm to reason about different edits in isolation and compose them toobtain an overall proof of conflict freedom. We have implemented the proposed technique in a new tool called SafeMerge for Java and evaluate it on 52 real-world merge scenarios obtained from Github. The experimental results demonstrate the benefits of our approach over syntactic conflict-freedom and indicate that SafeMerge is both precise and practical. CCS Concepts: • Software and its engineering → Formal software verification; Additional Key Words and Phrases: Three-way program merge, relational verification, product programs ACM Reference Format: Marcelo Sousa, Isil Dillig, and Shuvendu K. Lahiri. 2018. Verified Three-Way Program Merge. Proc. ACM Program. Lang. 2, OOPSLA, Article 165 (November 2018), 29 pages. -
Phillip B. Gibbons Curriculum Vitae
Phillip B. Gibbons Curriculum Vitae [email protected] http://cs.cmu.edu/~gibbons/ July 2020 Research Interests Research areas include big data, parallel computing, databases, cloud computing, sensor networks, distributed systems, and computer architecture. My publications span theory and systems, across a broad range of computer science and engineering (e.g., conference papers in APoCS, ATC, ESA, EuroSys, HPCA, ICML, IPDPS, ISCA, MICRO, NeurIPS, NSDI, OSDI, PACT, SoCC, SODA, SOSP, SPAA and VLDB since 2015). Education • University of California at Berkeley, Berkeley, California, 1984{1989. Ph.D. in Computer Science. Dissertation advisor: Richard M. Karp. • Dartmouth College, Hanover, New Hampshire, 1979{1983. B.A. in Mathematics. Graduated summa cum laude and Phi Beta Kappa. Professional Experience • Carnegie Mellon University, Pittsburgh, Pennsylvania. Professor, Computer Science Department, 2015{present. Professor, Electrical and Computer Engineering Department, 2015{present. Principal Investigator (PI or co-PI) for the following research projects: { Prescriptive Memory: Razing the semantic wall between applications and computer systems with heterogeneous compute and memories. { Asymmetric Memory: Write-efficient algorithms and systems, for settings (such as emerging non- volatile memories) where writes are significantly more costly than reads. { Big Learning Systems: Mapping out and exploring the space of large-scale machine learning from a systems' perspective. Recent focus on geo-distributed learning over non-IID data. Adjunct Professor, Computer Science Department, 2003{2015. Adjunct Associate Professor, Computer Science Department, 2000{2003. Visiting Professor, Computer Science Department, 2000. • Intel Labs Pittsburgh, Pittsburgh, Pennsylvania. Principal Research Scientist, 2001{2015. Principal Investigator for the Intel Science and Technology Center for Cloud Computing { A $11.5M research partnership with Carnegie Mellon, Georgia Tech, Princeton, UC Berkeley, and U. -
Richard Paul Gabriel Educational Background
Richard Paul Gabriel Address: 3636 Altamont Way Redwood City, CA 94062 Telephone: Voice: (650)298-8735 Fax: (650)216-6755 E-Mail: rpg at dreamsongs.com Web: http://dreamsongs.com Educational Background Warren Wilson College 1995–1998 M.F.A. in Creative Writing (Poetry) Stanford University 1975–1981 Ph.D. in Computer Science University of Illinois 1973–1975 M.S. in Mathematics MIT 1972–1973 Graduate studies in Mathematics Northeastern University 1967–1972 B.A. in Mathematics Recent Experience Researcher, IBM Research, February 2007– Vice Chair, Aspect-Oriented Software Association (AOSA), 2011–2013 Member of the Editorial Board, Transactions on Pattern Languages of Programs, 2007– Chair of the Steering OOPSLA Committee, October 2008–October 2011 Notable Experience School Visitor, Australian National University, December 2010 President, Hillside Group, February 2002–November 2006 Distinguished Engineer, IBM Research February 2007–April 2011 Distinguished Engineer, Sun Microsystems, November 1998–January 2007 Principal Investigator, Sun Microsystems Laboratories July 2004–September 2006 Chief Scientist, Laboratory for Self-Sustaining Systems, July 2000–July 2004 Consultant, Aspen Smallworks, Sun Microsystems, February 1997–November 1998 Distinguished Computer Scientist, ParcPlace-Digitalk, Inc, Dec. 1993–Oct. 1996 Vice President of Development, ParcPlace Systems, Inc, June 1994–August 1995 Lucid Fellow, Lucid Inc, October 1992–November 1993 Chairman of the Board, Lucid Inc, October 1992–December 1994 Chief Technical Officer, Lucid Inc, August 1984–November 1993 Richard P. Gabriel 1 Consulting Full Professor of Computer Science, Stanford University, April 1991–August 2001 Founding Joint Editor-in-Chief, “Lisp and Symbolic Computation: An International Journal,” October 1986–1992 President and Chief Technical Officer, Lucid Inc, August 1984–October 1987 Founder, Lucid, Inc, August 1984 Noteworthy Accomplishments Wrote and promulgated the so-called “Gabriel Benchmarks” for the performance measurement of a variety of Lisp and Lisp-like systems. -
SIGOPS Annual Report 2011
SIGOPS Annual Report 2011 Fiscal Year July 2010-June 2011 Submitted by Doug Terry, SIGOPS Chair Overview SIGOPS is a vibrant community of people with interests in “operating systems” in the broadest sense, including topics such as distributed computing, storage systems, security, concurrency, middleware, mobility, virtualization, networking, cloud computing, datacenter software, and Internet services. We sponsor a number of top conferences, provide travel grants to students, present yearly awards, disseminate information to members electronically, and collaborate with other SIGs on important programs for computing professionals. Notable activities from the past year include: Elections were held for new officers, and Jeanna Matthews was elected as the new SIGOPS Chair, George Candea as Vice Chair, and Dilma da Silva as Treasurer. They will serve two-year terms from July 1, 2011 through June 30, 2013. The past officers (Doug Terry as Chair, Frank Bellosa as Vice Chair and Jeanna Matthews as Treasurer) completed their 4 years of service on June 30. Planning for the next ACM Symposium on Operating Systems (SOSP), which is scheduled for October 2011 in Cascais, Portugal, has been largely completed by Ted Wobber, the General Chair, and Peter Druschel, the Program Chair. The Second ACM Symposium on Cloud Computing (SOCC), which is co-sponsored between SIGOPS and SIGMOD, is being co-located with SOSP in Portugal. The first SIGOPS Asia-Pacific Workshop on Systems (APSys) was held on August 30, 2010 in New Delhi, India, immediately before the SIGCOMM 2010 conference. And the second instance of this workshop is being held in Shanghai, China, in July 2011. ACM released the first version of the Cloud Computing Tech Pack, which was produced by Doug Terry, the SIGOPS Chair. -
Curriculum Vitae
Massachusetts Institute of Technology School of Engineering Faculty Personnel Record Date: April 1, 2020 Full Name: Charles E. Leiserson Department: Electrical Engineering and Computer Science 1. Date of Birth November 10, 1953 2. Citizenship U.S.A. 3. Education School Degree Date Yale University B. S. (cum laude) May 1975 Carnegie-Mellon University Ph.D. Dec. 1981 4. Title of Thesis for Most Advanced Degree Area-Efficient VLSI Computation 5. Principal Fields of Interest Analysis of algorithms Caching Compilers and runtime systems Computer chess Computer-aided design Computer network architecture Digital hardware and computing machinery Distance education and interaction Fast artificial intelligence Leadership skills for engineering and science faculty Multicore computing Parallel algorithms, architectures, and languages Parallel and distributed computing Performance engineering Scalable computing systems Software performance engineering Supercomputing Theoretical computer science MIT School of Engineering Faculty Personnel Record — Charles E. Leiserson 2 6. Non-MIT Experience Position Date Founder, Chairman of the Board, and Chief Technology Officer, Cilk Arts, 2006 – 2009 Burlington, Massachusetts Director of System Architecture, Akamai Technologies, Cambridge, 1999 – 2001 Massachusetts Shaw Visiting Professor, National University of Singapore, Republic of 1995 – 1996 Singapore Network Architect for Connection Machine Model CM-5 Supercomputer, 1989 – 1990 Thinking Machines Programmer, Computervision Corporation, Bedford, Massachusetts 1975 -
Rahul Sharma Address: 353 Serra Mall #420, Stanford University, Stanford, CA 94305 Phone: (650) 735-1823 Email: [email protected]
Rahul Sharma Address: 353 Serra Mall #420, Stanford University, Stanford, CA 94305 Phone: (650) 735-1823 Email: [email protected] Research Interests Program Analysis, Compilers, and Machine Learning. Education 2010 - present Ph.D. Candidate, Computer Science, Stanford University, USA Advised by Prof. Alex Aiken 2006 - 2010 B.Tech. in Computer Science, Indian Institute of Technology (IIT Delhi), India Publications Conditionally Correct Superoptimization. Rahul Sharma, Eric Schkufza, Berkeley Churchill, and Alex Aiken. Proceedings of the International Conference on Object-Oriented Programming, Sys- tems, Languages, and Applications (OOPSLA), October 2015. Verification of Producer-Consumer Synchronization in GPU Programs. Rahul Sharma, Michael Bauer, and Alex Aiken. Proceedings of the Conference on Programming Language Design and Im- plementation (PLDI), June 2015. From Invariant Checking to Invariant Inference Using Randomized Search. Rahul Sharma, and Alex Aiken. Proceedings of the International Conference on Computer Aided Verification (CAV), July 2014. Stochastic Optimization of Floating Point Programs with Tunable Precision. Eric Schkufza, Rahul Sharma, and Alex Aiken. Proceedings of the Conference on Programming Language Design and Implementation (PLDI), June 2014. Bias-Variance Tradeoffs in Program Analysis. Rahul Sharma, Aditya Nori and Alex Aiken. Pro- ceedings of the Symposium on Principles of Programming Languages (POPL), January 2014. Data-Driven Equivalence Checking. Rahul Sharma, Eric Schkufza, Berkeley Churchill, and Alex Aiken. Proceedings of the International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), October 2013. Differential Assertion Checking. Shuvendu K. Lahiri, Kenneth L. McMillan, Rahul Sharma, and Chris Hawblitzel. In Proceedings of the Symposium on Foundations of Software Engineering (ESEC/FSE), August 2013. Termination Proofs from Tests. -
Curriculum Vitae Bradley E. Richards December 2010
Curriculum Vitae Bradley E. Richards December 2010 Office: Home: Department of Mathematics and Computer Science 13446 108th Ave SW University of Puget Sound Vashon, WA 98070 1500 N. Warner St. (206) 567-5308 Tacoma, WA 98416 (206) 234-3560 (cell) (253) 879{3579 (253) 879{3352 (fax) [email protected] Degrees Ph.D. in Computer Science, August 1996 and M.S. in Computer Science, May 1992 University of Wisconsin, Madison, WI Advisor: James R. Larus Thesis: \Memory Systems for Parallel Programming" M.Sc. in Computer Science, April 1990 University of Victoria, Victoria B.C., Canada Advisor: Maarten van Emden Thesis: \Contributions to Functional Programming in Logic" B.A. Degrees, magna cum laude, in Computer Science and Physics, May 1988 Gustavus Adolphus College, St. Peter, MN Advisor: Karl Knight Positions Held University of Puget Sound, Tacoma, Washington Professor (7/2010{present) Associate Professor (7/2005{6/2010) Vassar College, Poughkeepsie, New York Associate Professor, tenured (6/2004{8/2005) Assistant Professor (9/1997{6/2004) Visiting Assistant Professor (9/1996{8/1997) University of Wisconsin, Madison, Wisconsin Graduate Research Assistant (6/1993{8/1996) Graduate Teaching Assistant (9/1990{5/1993) University of Victoria, Victoria, B.C., Canada Graduate Research Assistant (9/1988{4/1990) Graduate Teaching Assistant (9/1988{4/1990) Grants and Awards Co-PI, NSF Computing Research Infrastructure (CRI) grant #0734761, titled \Workshop for investigating the issues involved in implementing a data repository for empirical CS education data." Total grant amount $19,070, awarded 7/2007. With PI Kathryn Sanders, Associate Professor of Mathematics and Computer Science, Rhode Island College. -
Design Pattern Implementation in Java and Aspectj
Design Pattern Implementation in Java and AspectJ Jan Hannemann Gregor Kiczales University of British Columbia University of British Columbia 201-2366 Main Mall 201-2366 Main Mall Vancouver B.C. V6T 1Z4 Vancouver B.C. V6T 1Z4 jan [at] cs.ubc.ca gregor [at] cs.ubc.ca ABSTRACT successor in the chain. The event handling mechanism crosscuts the Handlers. AspectJ implementations of the GoF design patterns show modularity improvements in 17 of 23 cases. These improvements When the GoF patterns were first identified, the sample are manifested in terms of better code locality, reusability, implementations were geared to the current state of the art in composability, and (un)pluggability. object-oriented languages. Other work [19, 22] has shown that implementation language affects pattern implementation, so it seems The degree of improvement in implementation modularity varies, natural to explore the effect of aspect-oriented programming with the greatest improvement coming when the pattern solution techniques [11] on the implementation of the GoF patterns. structure involves crosscutting of some form, including one object As an initial experiment we chose to develop and compare Java playing multiple roles, many objects playing one role, or an object [27] and AspectJ [25] implementations of the 23 GoF patterns. playing roles in multiple pattern instances. AspectJ is a seamless aspect-oriented extension to Java, which means that programming in AspectJ is effectively programming in Categories and Subject Descriptors Java plus aspects. D.2.11 [Software Engineering]: Software Architectures – By focusing on the GoF patterns, we are keeping the purpose, patterns, information hiding, and languages; D.3.3 intent, and applicability of 23 well-known patterns, and only allowing [Programming Languages]: Language Constructs and Features – the solution structure and solution implementation to change.