Exascale applications: skin in the game
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 Dep...
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| Published in | Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences Vol. 378; no. 2166; p. 20190056 |
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| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
The Royal Society Publishing
06.03.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1364-503X 1471-2962 1471-2962 |
| DOI | 10.1098/rsta.2019.0056 |
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| Summary: | 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’. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 USDOE Office of Science (SC), High Energy Physics (HEP) AC36-08GO28308; AC05-76RL01830; AC05-00OR22725; AC02-06CH11357; AC02-05CH11231; AC52-07NA27344; SC0012890; 17-SC-20-SC; 89233218CNA000001; AC02-07CH11359; AC02-76SF00515 USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division PNNL-SA-150649; LLNL-JRNL-781019; NREL-JA-5000-75732; LA-UR-19-26871; FERMILAB-PUB-19-644-T USDOE National Nuclear Security Administration (NNSA) USDOE Office of Science (SC), Exascale Computing Project (ECP) One contribution of 15 to a discussion meeting issue ‘Numerical algorithms for high-performance computational science’. |
| ISSN: | 1364-503X 1471-2962 1471-2962 |
| DOI: | 10.1098/rsta.2019.0056 |