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A Green(er) World for A.I

A Green(er) World for A.I

27 January 2023
Dan Zhao
Nathan C. Frey
Joseph McDonald
Matthew Hubbell
David Bestor
Michael Jones
Andrew Prout
V. Gadepally
S. Samsi
ArXivPDFHTML

Papers citing "A Green(er) World for A.I"

4 / 4 papers shown
Title
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale
Dan Zhao
S. Samsi
Joseph McDonald
Baolin Li
David Bestor
Michael Jones
Devesh Tiwari
V. Gadepally
42
17
0
25 Feb 2024
Is stochastic thermodynamics the key to understanding the energy costs
  of computation?
Is stochastic thermodynamics the key to understanding the energy costs of computation?
David Wolpert
Jan Korbel
Christopher Lynn
Farita Tasnim
Joshua A. Grochow
...
P. Riechers
Édgar Roldán
Brenda Rubenstein
Zoltán Toroczkai
Joseph Paradiso
AI4CE
29
18
0
28 Nov 2023
From Words to Watts: Benchmarking the Energy Costs of Large Language
  Model Inference
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
S. Samsi
Dan Zhao
Joseph McDonald
Baolin Li
Adam Michaleas
Michael Jones
William Bergeron
J. Kepner
Devesh Tiwari
V. Gadepally
8
119
0
04 Oct 2023
Energy Concerns with HPC Systems and Applications
Energy Concerns with HPC Systems and Applications
Roblex Nana
C. Tadonki
Petr Dokladal
Youssef Mesri
14
0
0
31 Aug 2023
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