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HPC University BoF (Birds-of-a-Feather Session)

HPC University BoF (Birds-of-a-Feather Session). Presenting the Preliminary Analysis of High Performance Computing Training and Education Requirements and Recommendations. Session Agenda. HPC University Introduction HPC Overview HPC University RAT Report Breakout Discussions Summary

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HPC University BoF (Birds-of-a-Feather Session)

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  1. HPC University BoF(Birds-of-a-Feather Session) Presenting the Preliminary Analysis of High Performance Computing Training and Education Requirements and Recommendations

  2. Session Agenda • HPC University Introduction • HPC Overview • HPC University RAT Report • Breakout Discussions • Summary • Next Steps

  3. Introduction – What are we working on? HPC University RAT* Charter The HPC Training RAT will identify successful paths to creating qualified, effective HPC professionals, capable of exploiting current super-terascale and upcoming petascale technologies for the advancement of scientific research. Gaps in training materials and delivery methods will be identified, and recommendations for filling these gaps will be presented. *RAT = “Requirements Analysis Team”, an ad hoc group of TG staff and others, with a short-term mandate, who are chartered to evaluate a specific topic and report to TG management on feasible solutions. NOT an implementation team.

  4. Who’s Involved? Laura McGinnis – Chair Pittsburgh Supercomputing Center Members Bonnie Bracey-Sutton Diglio Simoni (GLEF) (RTI International) John Cobb Stephenie McLean (ORNL) (RENCI) Shawn Brown Christian Chilan (PSC) (UC/ANL)) Brad Armosky Sudhakar Pamidighatam (UT Austin/TACC) (NCSA) James Rome John Ziebarth (ORNL) (Krell Institute) Mary Ann Leung Scott Lathrop (e-SciTek, LLC) (UC/ANL) Kay Hunt Subha Sivagnanam (Purdue) (SDSC) Krishna Madhavan (Clemson) Advisory Alina Bejan (Open Science Grid) Steve Gordon (Ohio Supercomputing Center) Leslie Southern (Ohio Supercomputing Center) Robert Panoff (Shodor) Kristina Wanous (UC/ANL)

  5. Why Are We Doing This?(HPC Overview)

  6. Terascale → PetascaleAre you ready?

  7. HPC Resources Supercomputer Capability Growth Gr& Challenges in Science & Engineering HumanGenome2003 10 P 1,000 T 1,000 T 500 T 2 Years 180 T-FLOPS 100 T 4 Years 90 T-FLOPS 10 T 4 Years 9 T-FLOPS 1 T 4 Years 0.9 T-FLOPS 0.1 T 4 Years 0.09 T-FLOPS 0.01 T 5 Years 0.009 T-FLOPS 0.001 T 100 M 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 1984 2015 Cray X-MP4 processors

  8. Earthquake SimulationGrand Challenge Remote Runtime Steering of Integrated Terascale Simulation & Visualization Hongfeng Yu, Tiankai Tu, Jacobo Bielak,Omar Ghattas, Julio C. Lopez, Kwan-Liu Ma,David R. O’Hallaron, Leonardo Ramirez-Guzman,Nathan Stone, Ricardo Taborda-Rios, John Urbanic

  9. Terascale→PetascaleAre you ready?

  10. Prepare next generation of users for next generation of computers Training road map/ pathways HPC University Vision

  11. Training road map Undergraduate Biology Novice Chemistry You are here Master Mathematics Post-doc Physics Engineering Beginner Journeyman Professional Graduate

  12. Mapping core competencies Programming Algorithms

  13. Methodologies

  14. What Have We Learned (so far)?(HPC University RAT Report)

  15. RAT Report • Catalog Map • Topics • Mastery Levels • Quality Assurance • Delivery Methodologies • Target Populations • Demographics • Disciplines • Scaling & Dissemination

  16. General Topics Modeling & SimulationHPC Technology (hardware) Architectures (Parallel, Dist, Grid) Workflow management Programming & AlgorithmsDevelopment Tools Software Engineering Operational Issues Performance Analysis Verification & Validation Code OptimizationScience gateways & resources Data analysis/post processing Visualization Scalable ComputingDomains (physics, chem, etc.) HPC Application packages Collaboration At least 10 Less than 10 None

  17. Catalog Map At least 10 Less than 10 None

  18. Catalog Map – Recommendations • Complete the verification and validation process for all entries in the catalog • Develop a mechanism for the continual update of the catalog to identify new sources of training materials • Make the catalog readily available to the HPC community

  19. Quality Assurance • CSERD/NSDL Overview • Digital repository for instructional & reference materials for computational science resources • Includes comprehensive review mechanism for materials, similar to journal review process • “Solving the problem correctly” != “Solving the correct problem?” • Verification • the resource works as advertised on the computing platforms as advertised • Validation • the resource is based on current, valid scientific methods • Accreditation • the resource is appropriate for the advertised audience

  20. Quality Assurance – Recommendations • Leverage CSERD/NSDL: • Broad dissemination • Formal VV&A review process. • Resource Management; i.e. identify a “primary editor” • Finding reviewers, • Organizing reviews • Publishing the resources that have passed a minimum quality level • Broadening Community Involvement • Contribute additional materials • Offer community comments on the resources • Provide feedback on the resources to TeraGrid on a regular basis

  21. Delivery Methodologies Total number of offerings: 239 This is a hole

  22. Delivery Methodologies – Recommendations • Plug the holes - provide a variety of teaching methods for each topic area • Allow students to customize training programs to meet their learning styles. • Redesign course materials to produce effective interactive online learning experiences • Avoid simply putting lecture-based materials online • Utilize efficient multi-disciplinary teams, including • subject matter experts • instructional designers & technologists • information technologists • tutors • faculty • project managers • Incorporate metacognitive* skills development into all training methods • Create or adopt a module that teaches students how to become aware of their most effective learning styles • Supplement these materials with guidelines on how to select the appropriate training materials based on their learning styles * ”Metacognitive” = the act of thinking about thinking

  23. Population Analysis - Demographics Underrepresented populations – The underrepresented populations are measured as the number of users at MSIs* • * The MSI list is generated from a number of sources: • ed.gov (the US Department of Education) list of MSIs • collegeboard.com (college search site), with search criteria of: • 4-year HBCUs • 4-year Hispanic schools • 4-year Women’s schools • NSF EPSCOR list Other Institutions (499 total) Users (6475 total) EPSCOR Hispanic HBCU Women’s Colleges

  24. Represented Fields of Science Molecular Biosciences Materials Research Astronomical Sciences Advanced Scientific Computing Mechanical & Structural Systems Earth Sciences Integrative Biology & Neuroscience Electrical & Communication Systems Chemistry Chemical, Thermal Systems Physics Atmospheric Sciences Computer & Computation Research Mathematical Sciences Biological & Critical SystemsThis represents 90% of all projects allocated to the TeraGrid. Underrepresented Fields of Service Design & Manufacturing Systems Training Inorganic, Bioinorganic, & Organometallic Chemistry Biophysics Networking & Communications Research Theoretical Physics Behavioral & Neural Sciences Algorithm Development Metals, Ceramics, & Electronic Materials Performance Evaluation & Benchmarking Ocean Sciences Gravitational Physics Analytical & Surface Chemistry Elementary Particle Physics Extragalactic Astronomy & Cosmology Nuclear Physics Software Systems Statistics & Probability Thermal Systems Distributed & Parallel Processing, Vectorization Educational Infrastructure Genetics & Nucleic Acids Global Atmospheric Research Environmental Biology Neuroscience Biology Planetary Astronomy Solar Terrestrial Research Social & Economic Science Cross-Disciplinary Activities Information, Robotics, & Intelligent Systems Physical Chemistry Biochemistry & Molecular Structure & Function Galactic Astronomy Fluid, Particulate, & Hydraulic Systems Applied Mathematics Organic & Macromolecular Chemistry Condensed Matter Physics Engineering Centers Science & Engineering Education Atmospheric Chemistry Engineering Infrastructure Development Mechanics & Materials Polar Programs Solid State Chemistry & Polymers Stellar Astronomy & Astrophysics Biological Instrumentation & Resources Economics Microelectronic Information Processing Systems Geophysics Industrial Science & Technological Innovation Meteorology Physiology & Behavior Quantum Electronics, Waves, & Beams Solid-State & Microstructures Population Analysis - Disciplines

  25. Population Analysis – Recommendations • Proactively support efforts to Broaden Participation across • Underrepresented demographics • Underrepresented fields of science • Broaden delivery methods • Synchronous: eliminates geographic boundaries • Asynchronous: eliminates temporal boundaries

  26. Scaling & Dissemination • Train-the-trainer • Most people teach the way they were taught • BUT, most survey respondents are self-taught • So…how do we scale and disseminate HPC training? • Collaboration & Mentoring • Time-intensive for “master”, but effective methodology (long history of success) • Traditionally geographically & temporally constrained • Technology-du-jour - “Masters” may be disinclined to learn new technology • Learning curves • Versioning & dialects • “Pain threshold” for dealing with reliability issues

  27. Scaling & Dissemination –Recommendations • Identify and promote Best Practices for content development and delivery • Encourage mentoring within TeraGrid • Create a Web portal for people to volunteer their services • Create a Web Portal for users to ask questions and to get a mentor • Provide real incentives for such volunteer activity • Study the social interactions in mentoring situations to provide training to make mentoring more effective • Provide support to HPC trainers • Training accounts on TeraGrid • Help with developing and critiquing course content • Provide a Web Portal for users new to HPC that would provide a roadmap of training that would lead them to their individual goals

  28. How can YOU help?(Breakout Sessions)

  29. Breakout Groups • Catalog • Quality Assurance • Delivery Methodologies • Populations • Scaling & Dissemination

  30. Breakout Groups – Questions to Answer • Are these the right topics? • What are we missing? • Are the recommendations sensible? Feasible? • What would you like the next steps to be?

  31. Where do we go from here?(Next Steps)

  32. RAT Next Steps • Consolidate info from SC07 • Present to TG governance (December 2007) • On approval, begin implementation • Project plan • Funding • Rollout • Etc…

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