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2 Industry s Gateway to SDSC The Industrial Partners Program (IPP) provides member companies with a framework for interacting with SDSC research-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 developments 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.

3 Time Agenda 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

4 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 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 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 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 sharednothing 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.

5 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 energyefficient computing. At UC San Diego, she is the director of the Performance, Modeling, and Characterization (PMaC) Lab. She is also the UC San Diego PI for Institute for Sustained Performance, Energy, and Resilience (SUPER) DoE SciDAC-3 and lead for the energy efficiency thrust for the institute as well as PI on a number other awards that support the lab. She has presented at numerous invited talks, member of various panels and committees, and an active member of DoD HPCMP Performance team involved in their annual HPC system procurement for past 10 years.

6 Speakers Building a Semantic Information Infrastructure Amarnath Gupta, Ph.D. Director, Advanced Query Processing Lab, SDSC Expertise: Information Integration, Semantic Information Infrastructure, Graph Data Management, Event Modeling Amarnath Gupta received his Ph.D. in Computer Science from Jadavpur University in India. He is currently a full Research Scientist at the San Diego Supercomputer Center of UC San Diego, and directs the Advanced Query Processing Lab. His primary areas of research include semantic information integration, large-scale graph databases, ontology management, event data management and query processing techniques. Before joining UC San Diego, he was the Chief Scientist at Virage, Inc., a startup company in multimedia information systems. Dr. Gupta has authored over 100 papers and a book on Event Modeling, holds 13 patents and is a recipient of the 2011 ACM Distinguished Scientist award. Benchmarking and Tuning Big Data Software David Nadeau, Ph.D. Computer Scientist, SDSC Expertise: Data mining, Visualization techniques, User interface design, High-dimensionality data sets, Software development, Audio synthesis David Nadeau is a senior computer scientist specializing in visualization and high-performance computing. He specializes in very large high-dimensionality data sets for such diverse fields as geoscience, astrophysics, and medical imaging. His works visualizing nebulae are featured in planetarium shows from the American Museum of Natural History in New York City. He has taught courses in computer graphics and is the co-author of two books on the subject. Bioinformatics Meets Big Data Wayne Pfeiffer, Ph.D. Distinguished Scientist, SDSC Expertise: Supercomputer performance analysis, Novel computer architectures, Bioinformatics Wayne Pfeiffer studied math, physics, and nuclear engineering in college and graduate school. After obtaining a PhD from Caltech, he joined General Atomics where he did research and development related to nuclear fission and fusion. Subsequently he helped found SDSC and served as a department manager and deputy director. In recent years he has been doing research in computer performance analysis and bioinformatics. Besides his work, he enjoys outdoor activities such as running, cycling, mountain climbing, and skiing. Biomedical Data Integration System and Web Search Engine Julia Ponomarenko, Ph.D. Principal Investigator, UCSD San Diego Supercomputer Center Expertise: Bioinformatics, Immunoinformatics, Databases and Software, Protein Structure, Genomics Julia Ponomarenko, Ph.D., is Principal Investigator for the National Institute of Health. Her research involves the development of the Immune Epitope Database and Analysis Resource (IEDB), computational studies of gene transcriptional regulation in mammals, and protein/dna structural informatics. Julia is also Director and Instructor of the Bioinformatics courses for the Biomedical and Bioinformatics graduate programs at UCSD and Lecturer at UCSD Extension. Dr. Ponomarenko obtained her M.Sc. in Physics from Novosibirsk State University (ranked among the top three universities in Russia) and Ph.D. in Biology from the Russian Academy of Science. During her career in Russia and for the last 11 years at SDSC, she has initiated, lead, and developed several high-profiled bioinformatics resources and did pioneering work on predicting gene regulatory sites and effect of SNPs in eukaryotic genomes, using DNA structural information.

7 Speakers Gordon, a Data-intensive Supercomputer Shawn Strande, M.S. Co-PI and Project Manager for Gordon Expertise: High performance computing, aerodynamics, computational fluid dynamics, project management. Shawn Strande is the Co-PI and Project Manager for Gordon: A Data Intensive Computer. He has been involved with high performance computing since 1982 when he started his career at the NASA Ames Research Center doing wind tunnel testing and computational aerodynamics. Since then he has worked as an engineer in the aerospace industry; at a software start-up; and within higher education and research computing. He has been with the San Diego Supercomputer Center for 10 years where he now manages the Gordon project. He holds an MS in Aeronautics and Astronautics from Stanford University. Managing HPC Systems at the National and Campus Levels Rick Wagner, Ph.D. Candidate HPC Systems Manager Expertise: Linux Clusters, Astrophysics Rick Wagner is the High Performance Computing Systems Manager at the San Diego Supercomputer Center, and a Ph.D. Candidate in Physics at the University of California, San Diego focusing his research on analyzing simulations of supersonic turbulence. In his managerial role, Rick has technical and operational responsibility for two of the NSFfunded Extreme Science and Engineering Discovery Environment (XSEDE) HPC clusters, Trestles and Gordon, and SDSC s Data Oasis parallel file systems. He has also worked with Argonne National Laboratory on coupling remote large-scale visualization resources to tiled display walls over dynamic circuits networks on the Department of Energy s Energy Sciences Network. Rick s other interests include promoting the sharing of astrophysical simulations through standardized metadata descriptions and access protocols, and he is currently serving as the Vice-Chair of the Theory Interest Group of the International Virtual Astronomical Observatory. His latest side project involves working with undergraduates to develop course materials on parallel programming for middle and high school students using Raspberry Pis. Industrial Partners Program Ron Hawkins Director, Industrial Partners Program, SDSC Ron Hawkins is the Director of Industry Relations at the University of California s San Diego Supercomputer Center, where he is responsible for developing industry partnerships and research collaborations in high performance computing. He also manages business development for SDSC s service offerings in high performance computing and cloud storage. Mr. Hawkins is a technology industry veteran, having held VP-level management, engineering, and product development positions at companies such as SONY, SAIC, and Titan. Mr. Hawkins technology background and interests include high performance and cloud computing, big data, data-intensive systems, microelectronics, embedded and real-time systems, and systems engineering. Mr. Hawkins volunteers as an entrepreneur-in-residence in the CONNECT Springboard entrepreneurship program, is a consultant or advisor to several early stage technology companies, and serves on the advisory board of the engineering school at the University of San Diego. He received the Master of Information Systems degree from Virginia Tech and the BSEE degree from the U.S. Naval Academy.

8 SDSC Industrial Partners Program IPP Membership Features and Benefits Member companies can work within the IPP to engage with SDSC in a way that best suits their needs. Some examples are highlighted below. Annual Research Review SDSC conducts an annual research review exclusively for IPP member companies. The research review provides a forum for SDSC to highlight current and forthcoming research projects and results. Topics are drawn from across the Center and cover a wide range of domains and interests. These events also offer networking opportunities with SDSC researchers and affiliates. The review is a full day and is normally held in the month of May. Quarterly Focused Workshops and Training SDSC conducts three quarterly workshops and training activities exclusively for member companies. The workshops cover topics of interest to industry such as Big Data, predictive analytics, cloud computing, bioinformatics, computational science for engineering, and others. Like the Annual Research Review, these events offer networking opportunities with SDSC researchers as well as affiliates. Sessions are conducted both on-site and via webcast. Webcasts can be retrieved on-demand by member companies. These events are generally held in February, August and October. Private Meetings with Researchers and Staff SDSC invites all IPP members to meet with research experts. We will work to identify the area of interest and researcher(s) to support members business needs. These meetings can be tailored as one-on-one, a small group, or as a brainstorming session with the entire team. Private Workshops and Conferences SDSC will help IPP participants organize a private workshop or conference for the member company s executives or senior staff and SDSC researchers. This format is designed to promote deeper exploration of topics such as emerging technology impacts on business strategy, or in-depth planning of potential research collaborations. SDSC also has conference facilities which can be reserved by member companies. Visits by SDSC Researchers to Member On-Site Company Sessions SDSC can arrange visits to member companies by individual researchers or groups. On-site visits can range from an hour or two to a full-day sessions, and may include presentations as well as discussions and consultations. International or extensive travel requirements may be contingent on available program funding. Collaboration with SDSC Researchers and Campus-wide Services For member companies that wish to engage more deeply with SDSC through research, consulting, or use of SDSC s computing and storage infrastructure, the IPP liaison serves as a point of coordination for discussions, development of proposals, and exploration of funding options and service agreements. In addition, the IPP can facilitate engagement with other UC San Diego administrative groups as needed, including Business Contracts, Office of Contracts and Grants, and the Technology Transfer Office. Continuing and Executive Education Opportunities SDSC s continuing and executive education programs such as the Data Mining Boot Camp series, executive seminars on Cloud Computing and Big Data, and technical workshops or seminars can be made available to members. The IPP can also work with member companies to develop on-site training and education tailored to a member s needs. Discounts for fee-based education and training are available to IPP member companies. Industry Visitors Members may place a visiting researcher at SDSC for active involvement under a specific area of research. SDSC values visiting researchers and expects the visitor to be deeply engaged in the research. While not specifically designed to provide basic education and training, visiting researchers will be provided office space and access to university facilities. Typically, this arrangement extends up to 12 months. IPP Membership Annual IPP Fee: Standard - $25,000 Small Company - $10,000 (companies with <51 employees or $10M annual revenues) Individual - $1,000 For inquiries, please contact: Ron Hawkins Director, Industry Relations, SDSC (858) [email protected] For general information, please [email protected] or visit our website at