Towards bespoke optimizations of energy efficiency in HPC environments

Towards bespoke optimizations of energy efficiency in HPC environments

Abstract We present bespoke energy efficiency optimizations in high performance computing (HPC) environments using holistic approach to data collection, analysis and proactive management of resources and workloads. Our solution has three major components: (i) platform for collecting, storing and pro...

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Bibliographic Details
Main Authors: Robert Tracey, Vadim Elisseev, Michalis Smyrnakis, Lan Hoang, Mark Fellows, Michael Ackers, Andrew Laughton, Stephen Hill, Phillip Folkes, John Whittle
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Applied AI Letters
Subjects:
cloud
energy efficiency
HPC
machine learning
Online Access:https://doi.org/10.1002/ail2.87

Internet

https://doi.org/10.1002/ail2.87

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