Exascale applications: skin in the game

F Alexander and A Almgren and J Bell and A Bhattacharjee and J Chen and P Colella and D Daniel and J DeSlippe and L Diachin and E Draeger and A Dubey and T Dunning and T Evans and I Foster and M Francois and T Germann and M Gordon and S Habib and M Halappanavar and S Hamilton and W Hart and ZY Huang and A Hungerford and D Kasen and PRC Kent and T Kolev and DB Kothe and A Kronfeld and Y Luo and P Mackenzie and D McCallen and B Messer and S Mniszewski and C Oehmen and A Perazzo and D Perez and D Richards and WJ Rider and R Rieben and K Roche and A Siegel and M Sprague and C Steefel and R Stevens and M Syamlal and M Taylor and J Turner and JL Vay and AF Voter and TL Windus and K Yelick, PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 378, 20190056 (2020).

DOI: 10.1098/rsta.2019.0056

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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