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1 Ergebnisse
1
Modeling and Optimizing the Scaling Performance in Distribu..:
, In:
Proceedings of the ACM Web Conference 2022
,
Liu, Ting
;
Miao, Tianhao
;
Wu, Qinghua
... - p. 1764-1773 , 2022
Link:
https://dl.acm.org/doi/10.1145/3485447.3511981
RT T1
Proceedings of the ACM Web Conference 2022
: T1
Modeling and Optimizing the Scaling Performance in Distributed Deep Learning Training
UL https://suche.suub.uni-bremen.de/peid=acm-3511981&Exemplar=1&LAN=DE A1 Liu, Ting A1 Miao, Tianhao A1 Wu, Qinghua A1 Li, Zhenyu A1 He, Guangxin A1 Wu, Jiaoren A1 Zhang, Shengzhuo A1 Yang, Xingwu A1 Tyson, Gareth A1 Xie, Gaogang PB ACM YR 2022 K1 distributed deep learning K1 performance modeling K1 scaling performance K1 tensor fusion K1 General and reference K1 Computing methodologies K1 Computer systems organization K1 Software and its engineering K1 Cross-computing tools and techniques K1 Machine learning K1 Architectures K1 Software organization and properties K1 Distributed architectures K1 Software system structures SP 1764 OP 1773 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3485447.3511981 DO https://dl.acm.org/doi/10.1145/3485447.3511981 SF ELIB - SuUB Bremen
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