Exascale applications: Skin in the game

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

doi:10.1098/rsta.2019.0056

Exascale applications: Skin in the game

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

Astrophysical Sciences

Research output: Contribution to journal › Review article › peer-review

72 Scopus citations

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'.

Original language	English (US)
Article number	20190056
Journal	Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume	378
Issue number	2166
DOIs	https://doi.org/10.1098/rsta.2019.0056
State	Published - Mar 6 2020

All Science Journal Classification (ASJC) codes

General Engineering
General Physics and Astronomy
General Mathematics

Keywords

Computational science applications
Exascale
High-performance computing
Machine learning
Modelling
Numerical algorithms
Simulation

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10.1098/rsta.2019.0056

Cite this

Alexander, F., Almgren, A., Bell, J., Bhattacharjee, A., Chen, J., Colella, P., Daniel, D., DeSlippe, J., Diachin, L., Draeger, E., Dubey, A., Dunning, T., Evans, T., Foster, I., Francois, M., Germann, T., Gordon, M., Habib, S., Halappanavar, M., ... Yelick, K. (2020). Exascale applications: Skin in the game. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2166), Article 20190056. https://doi.org/10.1098/rsta.2019.0056

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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'.",

keywords = "Computational science applications, Exascale, High-performance computing, Machine learning, Modelling, Numerical algorithms, Simulation",

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

note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.",

year = "2020",

month = mar,

day = "6",

doi = "10.1098/rsta.2019.0056",

language = "English (US)",

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journal = "Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences",

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Alexander, F, Almgren, A, Bell, J, Bhattacharjee, A, Chen, J, Colella, P, Daniel, D, DeSlippe, J, Diachin, L, Draeger, E, Dubey, A, Dunning, T, Evans, T, Foster, I, Francois, M, Germann, T, Gordon, M, Habib, S, Halappanavar, M, Hamilton, S, Hart, W, Huang, Z, Hungerford, A, Kasen, D, Kent, PRC, Kolev, T, Kothe, DB, Kronfeld, A, Luo, Y, Mackenzie, P, McCallen, D, Messer, B, Mniszewski, S, Oehmen, C, Perazzo, A, Perez, D, Richards, D, Rider, WJ, Rieben, R, Roche, K, Siegel, A, Sprague, M, Steefel, C, Stevens, R, Syamlal, M, Taylor, M, Turner, J, Vay, JL, Voter, AF, Windus, TL & Yelick, K 2020, 'Exascale applications: Skin in the game', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 378, no. 2166, 20190056. https://doi.org/10.1098/rsta.2019.0056

TY - JOUR

T1 - Exascale applications

T2 - Skin in the game

AU - Alexander, Francis

AU - Almgren, Ann

AU - Bell, John

AU - Bhattacharjee, Amitava

AU - Chen, Jacqueline

AU - Colella, Phil

AU - Daniel, David

AU - DeSlippe, Jack

AU - Diachin, Lori

AU - Draeger, Erik

AU - Dubey, Anshu

AU - Dunning, Thom

AU - Evans, Thomas

AU - Foster, Ian

AU - Francois, Marianne

AU - Germann, Tim

AU - Gordon, Mark

AU - Habib, Salman

AU - Halappanavar, Mahantesh

AU - Hamilton, Steven

AU - Hart, William

AU - Huang, Zhenyu

AU - Hungerford, Aimee

AU - Kasen, Daniel

AU - Kent, Paul R.C.

AU - Kolev, Tzanio

AU - Kothe, Douglas B.

AU - Kronfeld, Andreas

AU - Luo, Ye

AU - Mackenzie, Paul

AU - McCallen, David

AU - Messer, Bronson

AU - Mniszewski, Sue

AU - Oehmen, Chris

AU - Perazzo, Amedeo

AU - Perez, Danny

AU - Richards, David

AU - Rider, William J.

AU - Rieben, Rob

AU - Roche, Kenneth

AU - Siegel, Andrew

AU - Sprague, Michael

AU - Steefel, Carl

AU - Stevens, Rick

AU - Syamlal, Madhava

AU - Taylor, Mark

AU - Turner, John

AU - Vay, Jean Luc

AU - Voter, Artur F.

AU - Windus, Theresa L.

AU - Yelick, Katherine

N1 - Publisher Copyright: © 2020 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

PY - 2020/3/6

Y1 - 2020/3/6

N2 - 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'.

AB - 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'.

KW - Computational science applications

KW - Exascale

KW - High-performance computing

KW - Machine learning

KW - Modelling

KW - Numerical algorithms

KW - Simulation

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UR - http://www.scopus.com/inward/citedby.url?scp=85078004992&partnerID=8YFLogxK

U2 - 10.1098/rsta.2019.0056

DO - 10.1098/rsta.2019.0056

M3 - Review article

C2 - 31955678

AN - SCOPUS:85078004992

SN - 1364-503X

VL - 378

JO - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

JF - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

IS - 2166

M1 - 20190056

ER -

Exascale applications: Skin in the game

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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