Agnostic Energy Consumption Models for Heterogeneous GPUs in Cloud Computing

Alnori, A. orcid.org/0009-0007-5501-8987, Djemame, K. orcid.org/0000-0001-5811-5263 and Alsenani, Y. (2024) Agnostic Energy Consumption Models for Heterogeneous GPUs in Cloud Computing. Applied Sciences, 14 (6). 2385. ISSN 2076-3417

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Item Type: Article
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© 2024 by the Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: cloud computing; GPU; power modeling; energy modeling; machine learning
Dates:
  • Published: 12 March 2024
  • Accepted: 4 March 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Distributed Systems & Services
Depositing User: Symplectic Publications
Date Deposited: 26 Apr 2024 13:48
Last Modified: 26 Apr 2024 13:48
Status: Published
Publisher: MDPI
Identification Number: 10.3390/app14062385
Open Archives Initiative ID (OAI ID):

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