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Title: Exascale applications: skin in the game

Abstract

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’.

Authors:
 [1];  [2];  [2];  [3];  [4];  [2];  [5];  [2];  [6];  [6];  [7];  [8];  [9];  [7];  [5];  [5];  [10];  [7];  [8];  [9] more »;  [4];  [11];  [5];  [2];  [9];  [6];  [9];  [12];  [7];  [12];  [2];  [9];  [5];  [8];  [13];  [5];  [6];  [4];  [6];  [8];  [7];  [14];  [2];  [7];  [15];  [4];  [9];  [2];  [5];  [10];  [2] « less
  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. (Henry) [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  12. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  13. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  14. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  15. National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22). Scientific User Facilities Division; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1594850
Alternate Identifier(s):
OSTI ID: 1597582; OSTI ID: 1598528
Report Number(s):
PNNL-SA-150649; LLNL-JRNL-781019
Journal ID: ISSN 1364-503X
Grant/Contract Number:  
AC05-76RL01830; AC05-00OR22725; AC02-06CH11357; AC02-05CH11231; AC52-07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences
Additional Journal Information:
Journal Volume: 378; Journal Issue: 2166; Journal ID: ISSN 1364-503X
Publisher:
The Royal Society Publishing
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; exascale; high-performance computing; computational science applications; numerical algorithms; machine learning; simulation; Engineering, Materials science, Energy, Computer science, Physics, Geosciences, Chemistry

Citation Formats

Alexander, Francis, Almgren, Ann, Bell, John, Bhattacharjee, Amitava, Chen, Jacqueline, Colella, Phil, Daniel, David, DeSlippe, Jack, Diachin, Lori, Draeger, Erik, Dubey, Anshu, Dunning, Thom, Evans, Thomas, Foster, Ian, Francois, Marianne, Germann, Tim, Gordon, Mark, Habib, Salman, Halappanavar, Mahantesh, Hamilton, Steven, Hart, William, Huang, Zhenyu, Hungerford, Aimee, Kasen, Daniel, Kent, Paul R. C., Kolev, Tzanio, Kothe, Douglas B., Kronfeld, Andreas, Luo, Ye, Mackenzie, Paul, McCallen, David, Messer, Bronson, Mniszewski, Sue, Oehmen, Chris, Perazzo, Amedeo, Perez, Danny, Richards, David, Rider, William J., Rieben, Rob, Roche, Kenneth, Siegel, Andrew, Sprague, Michael, Steefel, Carl, Stevens, Rick, Syamlal, Madhava, Taylor, Mark, Turner, John, Vay, Jean-Luc, Voter, Artur F., Windus, Theresa L., and Yelick, Katherine. Exascale applications: skin in the game. United States: N. p., 2020. Web. doi:10.1098/rsta.2019.0056.
Alexander, Francis, Almgren, Ann, Bell, John, Bhattacharjee, Amitava, Chen, Jacqueline, Colella, Phil, Daniel, David, DeSlippe, Jack, Diachin, Lori, Draeger, Erik, Dubey, Anshu, Dunning, Thom, Evans, Thomas, Foster, Ian, Francois, Marianne, Germann, Tim, Gordon, Mark, Habib, Salman, Halappanavar, Mahantesh, Hamilton, Steven, Hart, William, Huang, Zhenyu, Hungerford, Aimee, Kasen, Daniel, Kent, Paul R. C., Kolev, Tzanio, Kothe, Douglas B., Kronfeld, Andreas, Luo, Ye, Mackenzie, Paul, McCallen, David, Messer, Bronson, Mniszewski, Sue, Oehmen, Chris, Perazzo, Amedeo, Perez, Danny, Richards, David, Rider, William J., Rieben, Rob, Roche, Kenneth, Siegel, Andrew, Sprague, Michael, Steefel, Carl, Stevens, Rick, Syamlal, Madhava, Taylor, Mark, Turner, John, Vay, Jean-Luc, Voter, Artur F., Windus, Theresa L., & Yelick, Katherine. Exascale applications: skin in the game. United States. doi:10.1098/rsta.2019.0056.
Alexander, Francis, Almgren, Ann, Bell, John, Bhattacharjee, Amitava, Chen, Jacqueline, Colella, Phil, Daniel, David, DeSlippe, Jack, Diachin, Lori, Draeger, Erik, Dubey, Anshu, Dunning, Thom, Evans, Thomas, Foster, Ian, Francois, Marianne, Germann, Tim, Gordon, Mark, Habib, Salman, Halappanavar, Mahantesh, Hamilton, Steven, Hart, William, Huang, Zhenyu, Hungerford, Aimee, Kasen, Daniel, Kent, Paul R. C., Kolev, Tzanio, Kothe, Douglas B., Kronfeld, Andreas, Luo, Ye, Mackenzie, Paul, McCallen, David, Messer, Bronson, Mniszewski, Sue, Oehmen, Chris, Perazzo, Amedeo, Perez, Danny, Richards, David, Rider, William J., Rieben, Rob, Roche, Kenneth, Siegel, Andrew, Sprague, Michael, Steefel, Carl, Stevens, Rick, Syamlal, Madhava, Taylor, Mark, Turner, John, Vay, Jean-Luc, Voter, Artur F., Windus, Theresa L., and Yelick, Katherine. Mon . "Exascale applications: skin in the game". United States. doi:10.1098/rsta.2019.0056. https://www.osti.gov/servlets/purl/1594850.
@article{osti_1594850,
title = {Exascale applications: skin in the game},
author = {Alexander, Francis and Almgren, Ann and Bell, John and Bhattacharjee, Amitava and Chen, Jacqueline and Colella, Phil and Daniel, David and DeSlippe, Jack and Diachin, Lori and Draeger, Erik and Dubey, Anshu and Dunning, Thom and Evans, Thomas and Foster, Ian and Francois, Marianne and Germann, Tim and Gordon, Mark and Habib, Salman and Halappanavar, Mahantesh and Hamilton, Steven and Hart, William and Huang, Zhenyu and Hungerford, Aimee and Kasen, Daniel and Kent, Paul R. C. and Kolev, Tzanio and Kothe, Douglas B. and Kronfeld, Andreas and Luo, Ye and Mackenzie, Paul and McCallen, David and Messer, Bronson and Mniszewski, Sue and Oehmen, Chris and Perazzo, Amedeo and Perez, Danny and Richards, David and Rider, William J. and Rieben, Rob and Roche, Kenneth and Siegel, Andrew and Sprague, Michael and Steefel, Carl and Stevens, Rick and Syamlal, Madhava and Taylor, Mark and Turner, John and Vay, Jean-Luc and Voter, Artur F. and Windus, Theresa L. and Yelick, Katherine},
abstractNote = {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’.},
doi = {10.1098/rsta.2019.0056},
journal = {Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences},
number = 2166,
volume = 378,
place = {United States},
year = {2020},
month = {1}
}

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