Exascale Applications: Skin in the Game

Michael Sprague; 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 Kent; Tzanio Kolev; Douglas Kothe; Andreas Kronfeld; Ye Luo; Paul Mackenzie; David McCallen; Sue Mniszewski; Chris Oehmen; Chris Oehmen; Amedeo Perazzo; Danny Perez; David Richards; William Rider; Rob Rieben; Kenneth Roche; Andrew Siegel; Carl Steefel; Rick Stevens; Madhava Syamlal; Mark Taylor; John Turner; Jean-Luc Vay; Artur Voter; Theresa Windus; Katherine Yelick

doi:10.1098/rsta.2019.0056

Exascale Applications: Skin in the Game

Michael Sprague, 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 HalappanavarSteven Hamilton, William Hart, Zhenyu Huang, Aimee Hungerford, Daniel Kasen, Paul Kent, Tzanio Kolev, Douglas Kothe, Andreas Kronfeld, Ye Luo, Paul Mackenzie, David McCallen, Sue Mniszewski, Chris Oehmen, Chris Oehmen, Amedeo Perazzo, Danny Perez, David Richards, William Rider, Rob Rieben, Kenneth Roche, Andrew Siegel, Carl Steefel, Rick Stevens, Madhava Syamlal, Mark Taylor, John Turner, Jean-Luc Vay, Artur Voter, Theresa Windus, Katherine Yelick

National Wind Technology Center

Research output: Contribution to journal › 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	American English
Article number	20190056
Number of pages	31
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 https://doi.org/10.1098/rsta.2019.0056
State	Published - 6 Mar 2020

Bibliographical note

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.

NREL Publication Number

NREL/JA-5000-75732

Keywords

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

Access to Document

https://www.nrel.gov/docs/fy20osti/75732.pdf

Cite this

Sprague, M., 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., ... 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, 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 = "Michael Sprague and 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 Paul Kent and Tzanio Kolev and Douglas Kothe and Andreas Kronfeld and Ye Luo and Paul Mackenzie and David McCallen and Sue Mniszewski and Chris Oehmen and Chris Oehmen and Amedeo Perazzo and Danny Perez and David Richards and William Rider and Rob Rieben and Kenneth Roche and Andrew Siegel and Carl Steefel and Rick Stevens and Madhava Syamlal and Mark Taylor and John Turner and Jean-Luc Vay and Artur Voter and Theresa Windus 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",

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Sprague, M, 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, P, Kolev, T, Kothe, D, Kronfeld, A, Luo, Y, Mackenzie, P, McCallen, D, Mniszewski, S, Oehmen, C, Oehmen, C, Perazzo, A, Perez, D, Richards, D, Rider, W, Rieben, R, Roche, K, Siegel, A, Steefel, C, Stevens, R, Syamlal, M, Taylor, M, Turner, J, Vay, J-L, Voter, A, Windus, T & 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, https://doi.org/10.1098/rsta.2019.0056

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T1 - Exascale Applications: Skin in the Game

AU - Sprague, Michael

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

AU - Kolev, Tzanio

AU - Kothe, Douglas

AU - Kronfeld, Andreas

AU - Luo, Ye

AU - Mackenzie, Paul

AU - McCallen, David

AU - Mniszewski, Sue

AU - Oehmen, Chris

AU - Perazzo, Amedeo

AU - Perez, Danny

AU - Richards, David

AU - Rider, William

AU - Rieben, Rob

AU - Roche, Kenneth

AU - Siegel, Andrew

AU - Steefel, Carl

AU - Stevens, Rick

AU - Syamlal, Madhava

AU - Taylor, Mark

AU - Turner, John

AU - Vay, Jean-Luc

AU - Voter, Artur

AU - Windus, Theresa

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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U2 - 10.1098/rsta.2019.0056

DO - 10.1098/rsta.2019.0056

M3 - 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

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ER -

Exascale Applications: Skin in the Game

Abstract

Bibliographical note

NREL Publication Number

Keywords

Access to Document

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