Wang et al., 2021 - Google Patents

Overlapping communication with computation in parameter server for scalable DL training

Wang et al., 2021

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Document ID
783501594857246540
Author
Wang S
Pi A
Zhou X
Wang J
Xu C
Publication year
Publication venue
IEEE Transactions on Parallel and Distributed Systems

External Links

Snippet

Scalability of distributed deep learning (DL) training with parameter server (PS) architecture is often communication constrained in large clusters. There are recent efforts that use a layer by layer strategy to overlap gradient communication with backward computation so as to …
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Classifications

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    • G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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