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AutoShard: Automated Embedding Table Sharding for Recommend..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Zha, Daochen
;
Feng, Louis
;
Bhushanam, Bhargav
... - p. 4461-4471 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539034
RT T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>AutoShard: Automated Embedding Table Sharding for Recommender Systems</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3539034&Exemplar=1&LAN=DE A1 Zha, Daochen A1 Feng, Louis A1 Bhushanam, Bhargav A1 Choudhary, Dhruv A1 Nie, Jade A1 Tian, Yuandong A1 Chae, Jay A1 Ma, Yinbin A1 Kejariwal, Arun A1 Hu, Xia PB ACM YR 2022 K1 cost modeling K1 recommender system K1 reinforcement learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning paradigms K1 Reinforcement learning SP 4461 OP 4471 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539034 DO https://dl.acm.org/doi/10.1145/3534678.3539034 SF ELIB - SuUB Bremen
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