Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green Supercomputer

Open access
Date
2018-07-01Type
- Journal Article
Citations
Cited 11 times in
Web of Science
Cited 13 times in
Scopus
ETH Bibliography
yes
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Permanent link
https://doi.org/10.3929/ethz-b-000226859Publication status
publishedExternal links
Journal / series
IEEE Transactions on Parallel and Distributed SystemsVolume
Pages / Article No.
Publisher
IEEESubject
Green500; High-Performance Computing; Hardware Variability; Energy-Efficient Software Design; Energy-Aware Computing; Green Supercomputer; Heterogeneous Supercomputer; Dynamic Resource Management; Hardware Accelerator; DVFSOrganisational unit
03996 - Benini, Luca / Benini, Luca
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Citations
Cited 11 times in
Web of Science
Cited 13 times in
Scopus
ETH Bibliography
yes
Altmetrics