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1 Ergebnisse
1
Sia: Heterogeneity-aware, goodput-optimized ML-cluster sche..:
, In:
Proceedings of the 29th Symposium on Operating Systems Principles
,
Jayaram Subramanya, Suhas
;
Arfeen, Daiyaan
;
Lin, Shouxu
... - p. 642-657 , 2023
Link:
https://dl.acm.org/doi/10.1145/3600006.3613175
RT T1 <cTitle>Proceedings of the 29th Symposium on Operating Systems Principles</cTitle>: T1 <Title>Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3613175&Exemplar=1&LAN=DE A1 Jayaram Subramanya, Suhas A1 Arfeen, Daiyaan A1 Lin, Shouxu A1 Qiao, Aurick A1 Jia, Zhihao A1 Ganger, Gregory R. PB ACM YR 2023 K1 cluster scheduling K1 resource allocation K1 deep learning training K1 Theory of computation K1 Design and analysis of algorithms K1 Approximation algorithms analysis K1 Scheduling algorithms K1 Software and its engineering K1 Software organization and properties K1 Software system structures K1 Distributed systems organizing principles K1 Cloud computing SP 642 OP 657 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3600006.3613175 DO https://dl.acm.org/doi/10.1145/3600006.3613175 SF ELIB - SuUB Bremen
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