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1 Ergebnisse
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Toward accurate platform-aware performance modeling for dee..:
Wang, Chuan-Chi
;
Liao, Ying-Chiao
;
Kao, Ming-Chang
..
ACM SIGAPP Applied Computing Review. 21 (2021) 1 - p. 50-61 , 2021
Link:
https://dl.acm.org/doi/10.1145/3477133.3477137
RT Journal T1
Toward accurate platform-aware performance modeling for deep neural networks
UL https://suche.suub.uni-bremen.de/peid=acm-3477137&Exemplar=1&LAN=DE A1 Wang, Chuan-Chi A1 Liao, Ying-Chiao A1 Kao, Ming-Chang A1 Liang, Wen-Yew A1 Hung, Shih-Hao PB ACM YR 2021 SN 1559-6915 SN 1931-0161 K1 benchmark K1 heterogeneous systems K1 machine learning K1 performance prediction K1 Computer systems organization K1 Architectures K1 Other architectures K1 Heterogeneous (hybrid) systems K1 Computing methodologies K1 Modeling and simulation K1 Simulation types and techniques K1 Massively parallel and high-performance simulations K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by regression JF ACM SIGAPP Applied Computing Review VO 21 IS 1 SP 50 OP 61 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477133.3477137 DO https://dl.acm.org/doi/10.1145/3477133.3477137 SF ELIB - SuUB Bremen
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