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1
Fine-grained accelerator partitioning for Machine Learning ..:
, In:
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
,
Dhakal, Aditya
;
Raith, Philipp
;
Ward, Logan
... - p. 1606-1613 , 2023
Link:
https://dl.acm.org/doi/10.1145/3624062.3624238
RT T1 <cTitle>Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis</cTitle>: T1 <Title>Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3624238&Exemplar=1&LAN=DE A1 Dhakal, Aditya A1 Raith, Philipp A1 Ward, Logan A1 Hong Enriquez, Rolando P. A1 Rattihalli, Gourav A1 Chard, Kyle A1 Foster, Ian A1 Milojicic, Dejan PB ACM YR 2023 K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems K1 Dependable and fault-tolerant systems and networks K1 Redundancy K1 Robotics K1 Networks K1 Network properties K1 Network reliability SP 1606 OP 1613 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3624062.3624238 DO https://dl.acm.org/doi/10.1145/3624062.3624238 SF ELIB - SuUB Bremen
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