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Title: High Energy Physics Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and High Energy Physics, June 10-12, 2015, Bethesda, Maryland

Technical Report ·
DOI:https://doi.org/10.2172/1341722· OSTI ID:1341722
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  1. Argonne National Lab. (ANL), Argonne, IL (United States)
  2. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  4. Esnet, Berkeley, CA (United States)
  5. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  6. Univ. of Nebraska, Lincoln, NE (United States)
  7. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  8. Boston Univ., MA (United States)
  9. Indiana Univ., Bloomington, IN (United States)
  10. Univ. of California, Los Angeles, CA (United States)
  11. Michigan State Univ., East Lansing, MI (United States)
  12. Yale Univ., New Haven, CT (United States)
  13. Univ. of Illinois, Urbana, IL (United States). National Center for Supercomputing Applications
  14. Florida State Univ., Tallahassee, FL (United States)
  15. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  16. Univ. of Arizona, Tucson, AZ (United States)
  17. Brookhaven National Lab. (BNL), Upton, NY (United States)
  18. Univ. of California, San Diego, CA (United States)
+ Show Author Affiliations

The U.S. 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. This report summarizes the findings, results, and recommendations derived from that meeting. The high-level findings and observations are as follows. Larger, more capable computing and data facilities are needed to support HEP science goals in all three frontiers: Energy, Intensity, and Cosmic. 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. The growth rate of data produced by simulations is overwhelming the current ability of both facilities and researchers to store and analyze it. Additional resources and new techniques for data analysis are urgently needed. 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. Appropriately configured leadership-class facilities can play a transformational role in enabling scientific discovery from these datasets. A close integration of high-performance computing (HPC) simulation and data analysis will greatly aid in interpreting the results of HEP experiments. Such an integration will minimize data movement and facilitate interdependent workflows. Long-range planning between HEP and ASCR will be required to meet HEP’s research needs. 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.

Research Organization:
USDOE Office of Science (SC) (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI ID:
1341722
Country of Publication:
United States
Language:
English

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