Fine-tuning giant neural networks on commodity hardware with automatic pipeline model parallelism

Saar Eliad, Ido Hakimi, Alon De Jagger, Mark Silberstein, Assaf Schuster. Fine-tuning giant neural networks on commodity hardware with automatic pipeline model parallelism. In Irina Calciu, Geoff Kuenning, editors, 2021 USENIX Annual Technical Conference, USENIX ATC 2021, July 14-16, 2021. pages 381-396, USENIX Association, 2021. [doi]

Authors

Saar Eliad

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Ido Hakimi

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Alon De Jagger

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Mark Silberstein

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Assaf Schuster

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