Hierarchical Power Control in Heterogeneous HPC Clusters for Deep Learning Processing
Hierarchical Power Control in Heterogeneous HPC Clusters for Deep Learning Processing
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Athens: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)
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English
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Athens: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)
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Increase of energy consumption associated with HPC clusters is becoming a critical problem since it prevents the performance improvement and the expansion of user services due to high electricity bills and carbon dioxide footprints. Especially, deep learning (DL) task processing, as an emerging workload for artifical services in industrial fields,...
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Hierarchical Power Control in Heterogeneous HPC Clusters for Deep Learning Processing
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TN_cdi_proquest_journals_2362906601
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2362906601
