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Title: Exascale applications: skin in the game

Journal Article · · Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences
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  1. Brookhaven National Lab. (BNL), Upton, NY (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
  4. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  5. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  6. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  7. Argonne National Lab. (ANL), Argonne, IL (United States)
  8. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  9. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  10. Ames Lab., Ames, IA (United States)
  11. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  12. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  13. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  14. National Energy Technology Lab. (NETL), Morgantown, WV (United States)

As noted in Wikipedia, skin in the game refers to having ‘incurred risk by being involved in achieving a goal’, where ‘skin is a synecdoche for the person involved, and game is the metaphor for actions on the field of play under discussion’. For exascale applications under development in the US Department of Energy Exascale Computing Project, nothing could be more apt, with the skin being exascale applications and the game being delivering comprehensive science-based computational applications that effectively exploit exascale high-performance computing technologies to provide breakthrough modelling and simulation and data science solutions. These solutions will yield high-confidence insights and answers to the most critical problems and challenges for the USA in scientific discovery, national security, energy assurance, economic competitiveness and advanced healthcare. This article is part of a discussion meeting issue ‘Numerical algorithms for high-performance computational science’.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Exascale Computing Project (ECP)
Grant/Contract Number:
AC36-08GO28308; AC05-76RL01830; AC05-00OR22725; AC02-06CH11357; AC02-05CH11231; AC52-07NA27344
OSTI ID:
1594850
Report Number(s):
PNNL-SA--150649; LLNL-JRNL--781019
Journal Information:
Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences, Journal Name: Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences Journal Issue: 2166 Vol. 378; ISSN 1364-503X
Publisher:
The Royal Society PublishingCopyright Statement
Country of Publication:
United States
Language:
English

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