Pope, Adrian Power, John Qiang, Ji Reina, Laura Rizzo, Thomas Gerard Ryne, Robert Schram, Malachi Spentzouris, P. Heitmann, Katrin Hoeche, Stefan Ko, Kwok Kononenko, Oleksiy LeCompte, Thomas Li, Zheng Lukic, Zarija Mori, Warren Ng, Cho-Kuen Nugent, Peter Oleynik, Gene O’Shea, Brian Padmanabhan, Nikhil Petravick, Donald Petriello, Frank J.
Bailey, Stephen Bard, Deborah Bloom, Ken Bockelman, Brian more » Borgland, Anders Borrill, Julian Boughezal, Radja Brower, Richard Cowan, Benjamin Finkel, Hal Frontiere, Nicholas Fuess, Stuart Ge, Lixin Gnedin, Nick Gottlieb, Steven Gutsche, Oliver Han, T. Riley, Katherine Rotman, Lauren Straatsma, Tjerk Wells, Jack Williams, Tim Almgren, A.
« lessĪuthors: Habib, Salman Roser, Robert Gerber, Richard Antypas, Katie Dart, Eli Dosanjh, Sudip Hack, James Monga, Inder Papka, Michael E. To best use ASCR HPC resources, the experimental HEP program needs (1) an established, long-term plan for access to ASCR computational and data resources, (2) the ability to map workflows to HPC resources, (3) the ability for ASCR facilities to accommodate workflows run by collaborations potentially comprising thousands of individual members, (4) to transition codes to the next-generation HPC platforms that will be available at ASCR facilities, (5) to build up and train a workforce capable of developing and using simulations and analysis to support HEP scientific research on next-generation systems. Long-range planning between HEP and ASCR will be required to meet HEP’s research needs. Such an integration will minimize data movement and facilitate interdependent workflows. A close integration of high-performance computing (HPC) simulation and data analysis will greatly aid in interpreting the results of more » HEP experiments. Appropriately configured leadership-class facilities can play a transformational role in enabling scientific discovery from these datasets. Data rates and volumes from experimental facilities are also straining the current HEP infrastructure in its ability to store and analyze large and complex data volumes. Additional resources and new techniques for data analysis are urgently needed. The growth rate of data produced by simulations is overwhelming the current ability of both facilities and researchers to store and analyze it. The expected scale of the demand at the 2025 timescale is at least two orders of magnitude - and in some cases greater - than that available currently. Larger, more capable computing and data facilities are needed to support HEP science goals in all three frontiers: Energy, Intensity, and Cosmic. The high-level findings and observations are as follows. This report summarizes the findings, results, and recommendations derived from that meeting. Department of Energy (DOE) Office of Science (SC) Offices of High Energy Physics (HEP) and Advanced Scientific Computing Research (ASCR) convened a programmatic Exascale Requirements Review on June 10–12, 2015, in Bethesda, Maryland.
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