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1 Ergebnisse
1
Trends in Energy Estimates for Computing in AI/Machine Lear..:
, In:
2022 IEEE High Performance Extreme Computing Conference (HPEC)
,
Shankar, Sadasivan
;
Reuther, Albert
- p. 1-8 , 2022
Link:
https://doi.org/10.1109/HPEC55821.2022.9926296
RT T1 <cTitle>2022 IEEE High Performance Extreme Computing Conference (HPEC)</cTitle>: T1 <Title>Trends in Energy Estimates for Computing in AI/Machine Learning Accelerators, Supercomputers, and Compute-Intensive Applications</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9926296&Exemplar=1&LAN=DE A1 Shankar, Sadasivan A1 Reuther, Albert YR 2022 SN 2643-1971 K1 Training K1 Computational modeling K1 Biological system modeling K1 Computer architecture K1 Market research K1 Energy efficiency K1 Supercomputers K1 Moore's law K1 Energy Efficiency in computing K1 Energy per Instruction K1 Energy per Bit K1 Instructions per Second K1 Bit Utilization K1 Specialized Architectures K1 Energy for Machine Learning Application K1 Co-design K1 Energy as a design attribute SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/HPEC55821.2022.9926296 DO https://doi.org/10.1109/HPEC55821.2022.9926296 SF ELIB - SuUB Bremen
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