Exascale applications: skin in the game

As noted in Wikipedia, refers to having 'incurred risk by being involved in achieving a goal', where ' is a synecdoche for the person involved, and is the metaphor for actions on the field of play under discussion'. For exascale applications under development in the US Department...

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Veröffentlicht in:Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences Jg. 378; H. 2166; S. 20190056
Hauptverfasser: 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, Henry 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
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England 06.03.2020
Schlagworte:
modelling and simulation
numerical algorithms
computational science applications
machine learning
high-performance computing
exascale
ISSN:1471-2962, 1471-2962
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Zusammenfassung:As noted in Wikipedia, refers to having 'incurred risk by being involved in achieving a goal', where ' is a synecdoche for the person involved, and 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 being exascale applications and the 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'.
Bibliographie:ObjectType-Article-1
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ISSN:1471-2962
1471-2962
DOI:10.1098/rsta.2019.0056