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The Exascale Computing Project (ECP) Paul Messina, ECP Director - PowerPoint PPT Presentation

The Exascale Computing Project (ECP) Paul Messina, ECP Director Stephen Lee, ECP Deputy Director SC16 Birds of a Feather, The U.S. Exascale Computing Project November 16, 2016 Salt Lake City, Utah www.ExascaleProject.org What is the


  1. The Exascale Computing Project (ECP) Paul Messina, ECP Director Stephen Lee, ECP Deputy Director SC16 Birds of a Feather, ”The U.S. Exascale Computing Project” November 16, 2016 Salt Lake City, Utah www.ExascaleProject.org

  2. What is the Exascale Computing Project? • As part of the National Strategic Computing initiative, ECP was established to accelerate delivery of a capable exascale computing system that integrates hardware and software capability to deliver approximately 50 times more performance than today’s petaflop machines. • ECP’s work encompasses – applications, – system software, – hardware technologies and architectures, and – workforce development to meet the scientific and national security mission needs of DOE. 2 Exascale Computing Project

  3. Four key challenges that must be addressed to achieve exascale • Parallelism • Memory and Storage • Reliability • Energy Consumption 3 Exascale Computing Project

  4. What is a capable exascale computing system? A capable exascale computing system requires an entire computational ecosystem that: This ecosystem • Delivers 50× the performance of today’s 20 PF will be developed using systems, supporting applications that deliver high- a co-design approach to deliver new software, fidelity solutions in less time and address problems applications, platforms, and of greater complexity computational science capabilities at heretofore unseen • Operates in a power envelope of 20–30 MW scale • Is sufficiently resilient (average fault rate: ≤1/week) • Includes a software stack that supports a broad spectrum of applications and workloads 4 Exascale Computing Project

  5. Exascale Computing Project Goals Help ensure continued Develop scientific, Enable by 2023 American leadership engineering, and large- Create software that ≥ two diverse in architecture, data applications that makes exascale computing platforms software and exploit the emerging, with up to 50× more systems usable applications to support exascale-era by a wide variety computational scientific discovery, computational trends of scientists capability than today’s energy assurance, caused by the end of 20 PF systems, within and engineers across stockpile stewardship, a range of applications Dennard scaling and a similar size, cost, and nonproliferation Moore’s law and power footprint programs and policies Foster application Ease ≥ Two diverse US HPC development of use architectures leadership 5 Exascale Computing Project

  6. ECP leadership team Staff from 6 national laboratories, with combined experience of >300 years Exascale Computing Project Chief Technology Integration Paul Messina , Officer Manager Project Director, ANL Al Geist, ORNL Julia White, ORNL Stephen Lee, Deputy Project Director, LANL Communications Manager Mike Bernhardt, ORNL Software Hardware Application Exascale Technology Technology Development Project Systems Doug Kothe, Rajeev Thakur, Jim Ang, Management Terri Quinn, Director, ORNL Director, ANL Director, SNL Kathlyn Boudwin, Director, LLNL Bert Still, Pat McCormick, John Shalf, Director, ORNL Susan Coghlan, Deputy Director, Deputy Director, Deputy Director, Deputy Director, ANL LLNL LANL LBNL 6 Exascale Computing Project

  7. ECP has formulated a holistic approach that uses co- design and integration to achieve capable exascale Software Hardware Exascale Application Development Technology Technology Systems Science and mission Scalable and Hardware technology Integrated exascale applications productive software elements supercomputers stack Correctness Visualization Data Analysis Applications Co-Design Programming models, Math libraries development environment, Tools and Frameworks Resilience Workflows and runtimes System Software, resource management Data Memory threading, scheduling, management and Burst monitoring, and control I/O and file buffer system Node OS, runtimes Hardware interface ECP’s work encompasses applications, system software, hardware technologies and architectures, and workforce development 7 Exascale Computing Project

  8. ECP application, co-design center, and software project awards 8 Exascale Computing Project

  9. ECP Application Development (AD) Focus Area Douglas B. Kothe, ECP AD Director Charles H. Still, ECP AD Deputy Director SC16 Birds of a Feather, ”The U.S. Exascale Computing Project” November 16, 2016 Salt Lake City, UT www.ExascaleProject.org

  10. Summary • Applications are the tool for delivering on Mission Need – Vehicle for high-confidence insights and answers to national science, energy, and national security Challenge Problems – Necessary for all KPPs; on point for Scalable Science Performance, Application Readiness, and Productive Software Ecosystem metrics • Mission Need requirements will be met only through broad coverage of DOE programs – 10 program offices are targeted – Each office has multiple high-priority strategic goals addressable with exascale applications • Application Co-Design is an essential element of success • Application challenges can be met with efficient and productive development teams sharing lessons learned and best practices 10 Exascale Computing Project

  11. ECP Mission Need Defines the Application Strategy Key science and technology Meet national challenges to be addressed Support DOE science security needs with exascale and energy missions • Discover and characterize • Stockpile Stewardship Annual • Materials discovery and design next-generation materials Assessment and Significant • Climate science Finding Investigations • Systematically understand • Nuclear energy and improve chemical processes • Robust uncertainty quantification • Combustion science (UQ) techniques in support • Analyze the extremely large of lifetime extension programs • Large-data applications datasets resulting from the next generation of particle physics • Understanding evolving • Fusion energy experiments nuclear threats posed by • National security adversaries and in developing • Extract knowledge from systems- • Additive manufacturing policies to mitigate these threats biology studies of the microbiome • Many others! • Advance applied energy technologies (e.g., whole-device models of plasma-based fusion systems) 11 Exascale Computing Project

  12. AD Scope Deliver science-based applications able to exploit exascale for high-confidence insights and answers to problems of National importance Mission Objective need Create and enhance Deliver a broad array applications through: of comprehensive science-based computational applications that effectively Development of models, exploit exascale HPC technology to provide algorithms, and methods breakthrough modeling and simulation Integration of software and hardware solutions for National challenges: using co-design methodologies Scientific discovery Improvement of exascale system Energy assurance readiness and utilization Economic competitiveness Demonstration and assessment of challenge problem capabilities Health enhancement National security 12 Exascale Computing Project

  13. ECP Applications Deliver Broad Coverage of Strategic Pillars Initial selections consist of 15 application projects + 7 seed efforts Climate and National Security Energy Security Economic Security Scientific Discovery Healthcare Environmental Science •• Stockpile Stewardship •• Turbine Wind Plant •• Additive Manufacturing of •• Accurate Regional Impact •• Accelerate and Translate •• Cosmological Probe of the Efficiency Qualifiable Metal Parts Assessment of Climate Cancer Research Standard Model (SM) of Change Particle Physics •• Design/Commercialization •• Urban Planning (S) of SMRs •• Stress-Resistant Crop •• Validate Fundamental Laws •• Reliable and Efficient Analysis and Catalytic of Nature (SM) •• Nuclear Fission and Fusion Planning of the Power Grid Conversion of Biomass- Reactor Materials Design (S) •• Plasma Wakefield Derived Alcohols Accelerator Design •• Subsurface Use for Carbon •• Seismic Hazard Risk •• Metegenomics for Analysis Capture, Petro Extraction, Assessment (S) •• Light Source-Enabled of Biogeochemical Cycles, Waste Disposal Analysis of Protein and Climate Change, Environ Molecular Structure and •• High-Efficiency, Low- Remediation (S) Design Emission Combustion Engine and Gas Turbine •• Find, Predict, and Control Design Materials and Properties •• Carbon Capture and •• Predict and Control Stable Sequestration Scaleup (S) ITER Operational Performance •• Biofuel Catalyst Design (S) •• Demystify Origin of Chemical Elements (S) 13 Exascale Computing Project

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