UMA-MF: A Unified Multi-CPU/GPU Asynchronous Computing Framework for SGD-Based Matrix Factorization

Recent research has shown that collaborative computing of CPUs and GPUs in the same system can effectively accelerate large-scale SGD-based matrix factorization (MF), but it faces the problem of limited scalability due to parameter synchronization in the server. Theoretically, asynchronous methods c...

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Vydáno v:	IEEE transactions on parallel and distributed systems Ročník 34; číslo 11; s. 2978 - 2993
Hlavní autoři:	Huang, Yizhi, Liu, Yan, Bai, Yang, Chen, Si, Li, Renfa
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Central processing units Communication Computation Computer architecture CPUs Datasets Factorization Graphics processing units Matrix factorization Microprocessors multi-CPU/GPU parallel systems Parameters Pipelining (computers) Rings (mathematics) Safety Scalability stochastic gradient descent Stochastic processes Synchronism System effectiveness Topology Training
ISSN:	1045-9219, 1558-2183
On-line přístup:	Získat plný text
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