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Peng et al., 2018 - Google Patents

Optimus: an efficient dynamic resource scheduler for deep learning clusters

Peng et al., 2018

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Document ID
10868623367931047038
Author
Peng Y
Bao Y
Chen Y
Wu C
Guo C
Publication year
Publication venue
Proceedings of the Thirteenth EuroSys Conference

External Links

Snippet

Deep learning workloads are common in today's production clusters due to the proliferation of deep learning driven AI services (eg, speech recognition, machine translation). A deep learning training job is resource-intensive and time-consuming. Efficient resource …
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Classifications

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    • G06F9/46—Multiprogramming arrangements
    • 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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