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RecD: Deduplication for End-to-End Deep Learning Recommenda..:
Zhao, Mark
;
Choudhary, Dhruv
;
Tyagi, Devashish
...
http://arxiv.org/abs/2211.05239. , 2022
Link:
http://arxiv.org/abs/2211.05239
RT Journal T1
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
UL https://suche.suub.uni-bremen.de/peid=base-ftarxivpreprints:oai:arXiv.org:2211.05239&Exemplar=1&LAN=DE A1 Zhao, Mark A1 Choudhary, Dhruv A1 Tyagi, Devashish A1 Somani, Ajay A1 Kaplan, Max A1 Lin, Sung-Han A1 Pumma, Sarunya A1 Park, Jongsoo A1 Basant, Aarti A1 Agarwal, Niket A1 Wu, Carole-Jean A1 Kozyrakis, Christos YR 2022 K1 Computer Science - Machine Learning K1 Computer Science - Distributed K1 Parallel K1 and Cluster Computing K1 Computer Science - Information Retrieval K1 Computer Science - Performance JF http://arxiv.org/abs/2211.05239 LK http://arxiv.org/abs/2211.05239 DO http://arxiv.org/abs/2211.05239 SF ELIB - SuUB Bremen
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