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. 2020 Mar 6;378(2166):20190056.
doi: 10.1098/rsta.2019.0056. Epub 2020 Jan 20.

Exascale applications: skin in the game

Francis Alexander  1 , Ann Almgren  2 , John Bell  2 , Amitava Bhattacharjee  3 , Jacqueline Chen  4 , Phil Colella  2 , David Daniel  5 , Jack DeSlippe  2 , Lori Diachin  6 , Erik Draeger  6 , Anshu Dubey  7 , Thom Dunning  8 , Thomas Evans  9 , Ian Foster  7 , Marianne Francois  5 , Tim Germann  5 , Mark Gordon  10 , Salman Habib  7 , Mahantesh Halappanavar  8 , Steven Hamilton  9 , William Hart  4 , Zhenyu Henry Huang  8 , Aimee Hungerford  5 , Daniel Kasen  2 , Paul R C Kent  9 , Tzanio Kolev  6 , Douglas B Kothe  9 , Andreas Kronfeld  11 , Ye Luo  7 , Paul Mackenzie  11 , David McCallen  2 , Bronson Messer  9 , Sue Mniszewski  5 , Chris Oehmen  8 , Amedeo Perazzo  12 , Danny Perez  5 , David Richards  6 , William J Rider  4 , Rob Rieben  6 , Kenneth Roche  8 , Andrew Siegel  7 , Michael Sprague  13 , Carl Steefel  2 , Rick Stevens  7 , Madhava Syamlal  14 , Mark Taylor  4 , John Turner  9 , Jean-Luc Vay  2 , Artur F Voter  5 , Theresa L Windus  10 , Katherine Yelick  2
Affiliations

Exascale applications: skin in the game

Francis Alexander et al. Philos Trans A Math Phys Eng Sci. .

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'.

Keywords: computational science applications; exascale; high-performance computing; machine learning; modelling and simulation; numerical algorithms.

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Conflict of interest statement

We declare we have no competing interests.

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