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Download Program in PDF Format www.sdsc.edu/research/IPP.html ________________________________________ Industry’s “Gateway” to SDSC The Industrial Partners Program (IPP) provides member companies with a framework for interacting with SDSC re- search-ers and staff, exchanging information, receiving education & training, and developing collaborations. Joining IPP is an ideal way for companies to get started collaborating with SDSC researchers and to stay abreast of new de- velopments and opportunities on an ongoing basis. The expertise of SDSC researchers spans many domains including computer science, cybersecurity, data management, data mining & analytics, engineering, geosciences, health IT, high performance computing, life sciences & ge-nomics, networking, physics, and many others. The IPP provides multiple avenues for consultation, networking, training, and developing deeper collaborations. The IPP is an annual fee-based program that provides member companies with a variety of mechanisms for interacting and collaborating with SDSC researchers. The IPP serves an important function in maintaining SDSC’s ties to industry and the high-technology economy. Membership fees fund a variety of preplanned and ad hoc activities designed to encourage the exchange of new ideas and “seed” deeper collaborations. ________________________________________ SDSC – A Long History of Applied R&D From its founding in 1985 by a private company, General Atomics, through to its present affiliation with UCSD, SDSC has a long history of collaborating with and delivering value to industry. SDSC has a strong culture of conducting applied R&D, leveraging science and technology to deliver cutting-edge solutions to real-world problems. From its roots in High Performance Computing to its present emphases in “Big Da-ta” and Predictive Analytics, SDSC has much to offer industry partners in terms of knowledge and experience that is relevant to their world and impactful to their business. Agenda Time Event 1:00 pm REGISTRATION & REFRESHMENTS 1:30 pm Welcome Remarks What Can SDSC Do for You? Michael Norman, Ph.D. Director, San Diego Supercomputer Center SDSC Data Initiatives Chaitan Baru, Ph.D. Associate Director, Data Initiatives, SDSC; Director, Center for Large-scale Data Systems Research (CLDS), SDSC 2:30 pm BREAK 3:00 pm Around SDSC – A Series of ‘Lightning Talks’ Bioinformatics Meets Big Data Wayne Pfeiffer, Ph.D. Distinguished Scientist, SDSC Workflows for Distributed Analysis of Biological Big Data Ilkay Altintas, Ph.D. Deputy Coordinator for Research, SDSC; Lab Director, Scientific Workflow Automation Technologies, SDSC Building a Semantic Information Infrastructure Amarnath Gupta, Ph.D. Director, Advanced Query Processing Lab, SDSC Biomedical Data Integration System and Web Search Engine Julia Ponomarenko, Ph.D. Principal Investigator, SDSC Predictive Analytics and Data Mining Research and Applications Natasha Balac, Ph.D. Director, Predictive Analytics Center of Excellence, SDSC; Director of Data Application and Service, SDSC PMaC Tools and Methods for Performance and Energy Optimization for HPC Laura Carrington, Ph.D. Director of Performance Modeling and Characterization (PMaC) Lab, SDSC Benchmarking and Tuning Big Data Software David Nadeau, Ph.D. Computer Scientist, SDSC Gordon: A First-of-its Kind Data-intensive Supercomputer Shawn Strande, M.S. Co-PI and Project Manager for Gordon, SDSC Managing HPC Systems at the National and Campus Levels Rick Wagner, Ph.D. Candidate HPC Systems Manager, SDSC SDSC’s Myriad Areas of Expertise Ilkay Altintas, Ph.D. Deputy Coordinator for Research, SDSC, Lab Director; Scientific Workflow Automation Technologies, SDSC 4:20 pm Industrial Partners Program Ron Hawkins Director, Industry Relations, SDSC 4:30 - 6:00 pm RECEPTION, INCLUDING DATA CENTER TOUR & NETWORKING Speakers Welcome to SDSC What can SDSC do for you? Michael Norman, Ph.D. Director, San Diego Supercomputer Center Distinguished Professor, Physics, UC San Diego Director, Laboratory for Computational Astrophysics, UC San Diego Computational astrophysics Michael L. Norman is the Director of the San Diego Supercomputer Center and Distinguished Professor of Physics at UC San Diego where he also directs the Laboratory for Computational Astrophysics. He received his B.S. from Caltech in 1975, and his Ph. D. from UC Davis in 1980. After holding appointments at the Lawrence Livermore and Los Alamos National Laboratories, the Max Planck Institute for Astrophysics, and the National Center for Supercomputing Applications, he joined the faculty at UC San Diego in 2000. His research focus is the computer simulation of astronomical phenomena using supercomputers, and the development of the numerical methods to carry them out. He is the author of over 200 papers on diverse topics including star formation, cosmic jets, and cosmological evolution. His computer visualizations have appeared in numerous educational TV shows and films, including PBS Nova and The Discovery Channel. He is the recipient of the Alexander von Humboldt Research Prize and the IEEE Sidney Fernbach Award. He was elected Fellow of the American Physical Society in 2001, and the American Academy of Arts and Sciences in 2005. SDSC Data Initiatives Chaitan Baru, Ph.D. Associate Director, Data Initiatives, SDSC Director, Center for Large-scale Data Systems Research (CLDS), SDSC Expertise: Large-scale data systems, database systems, scientific data management, performance and benchmarking of big data systems, data integration, data analytics. Chaitan Baru is a Distinguished Scientist and research staff member at the San Diego Supercomputer Center. He has played a leadership role in a number of national-scale cyberinfrastructure R&D initiatives across a wide range of science disciplines from earth sciences to ecology, biomedical informatics, and healthcare. One of his current initiatives is an industry-academia effort to define big data benchmarks and establish a BigData Top100 List (see www. bigdatatop100.org). He also coordinates the SDSC Data Science Institute initiative for education and training in data science. Prior to joining SDSC in 1996, Baru was involved in the development of IBM’s early UNIX-based shared- nothing database systems (DB2 Parallel Edition), where he also led a team that produced the industry’s first result for a decision support benchmark (TPC-D). Baru has also served on the faculty of Computer Science and Engineering at the University of Michigan, Ann Arbor. He has a B.Tech. from the Indian Institute of Technology, Madras; and ME and PhD from the University of Florida, all in Electrical Engineering. Speakers Around SDSC – A Series of ‘Lightning Talks’ Workflows for Distributed Analysis of Biological Big Data Ilkay Altintas, Ph.D. Deputy Coordinator for Research, SDSC Lab Director, Scientific Workflow Automation Technologies Expertise: Scientific Workflows, Provenance, Distributed Computing, Observatory Systems Ilkay Altintas, Ph.D. is the Director for the Scientific Workflow Automation Technologies Lab at the San Diego Supercomputer Center (SDSC), UC San Diego where she also is the Deputy Coordinator for Research. Since joining SDSC in 2001, she has worked on different aspects of scientific workflows as a principal investigator and in other leadership roles across a wide range of cross-disciplinary NSF, DOE and Moore Foundation projects. She is a co-initiator of and an active contributor to the open-source Kepler Scientific Workflow System, and the co-author of publications related to eScience at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, observatory systems, conceptual data querying, and software modeling. Ilkay Altintas received her Ph.D. degree from the University of Amsterdam in the Netherlands with an emphasis on provenance of workflow-driven collaborative science and she is currently an assistant research scientist at UC San Diego. Predictive Analytics and Data Mining Research and Applications Natasha Balac, Ph.D. Director, Predictive Analytics Center of Excellence, SDSC Director of Data Application and Service, SDSC Expertise: Data mining and analysis, Machine learning, Scientific data management, Data-intensive computing Natasha Balac, Ph.D. is the Director of Predictive Analytics Center of Excellence at the San Diego Supercomputer Center (SDSC) encompassing many data mining projects including collaborations with UC San Diego Medical School and UC San Diego ‘s Smart Energy Grid. Natasha received her Ph.D. in Computer Science from Vanderbilt University with an emphasis in Machine Learning from large data sets. She has been with SDSC since 2003 leading multiple large projects and collaborations across a wide range of organizations in industry, government and academia including the Centers for Medicare and Medicaid Services (CMS), National Science Foundation (NSF), National Institutes of Health (NIH), and the California Energy Commission (CEC). PMaC Tools and Methods for Performance and Energy Optimization for HPC Laura Carrington, Ph.D. Director of Performance Modeling and Characterization (PMaC) Lab Expertise: HPC performance and power modeling, application analysis, benchmarking, and energy efficient research Laura Carrington is an expert in High Performance Computing (HPC). Her work has resulted in over 40 publication in HPC benchmarking, workload analysis, application performance modeling, analysis of accelerators (i.e. FPGAs and GPUs) for scientific workloads, tools in performance analysis (i.e. processor and network simulators), and energy- efficient
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