Analytical Energy Model Parametrized by Workload, Clock Frequency and Number of Active Cores for Sha...
Analytical Energy Model Parametrized by Workload, Clock Frequency and Number of Active Cores for Share-Memory High-Performance Computing Applications
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Energy consumption is crucial in high-performance computing (HPC), especially to enable the next exascale generation. Hence, modern systems implement various hardware and software features for power management. Nonetheless, due to numerous different implementations, we can always push the limits of software to achieve the most efficient use of our...
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Analytical Energy Model Parametrized by Workload, Clock Frequency and Number of Active Cores for Share-Memory High-Performance Computing Applications
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TN_cdi_doaj_primary_oai_doaj_org_article_7217ed9f58414a699798b19c711a0ee1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7217ed9f58414a699798b19c711a0ee1
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en15031213
