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"Efficient Parallelization Layouts for Large-Scale Distributed Model Training."

Johannes Hagemann et al. (2023)

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DOI: 10.48550/ARXIV.2311.05610

access: open

type: Informal or Other Publication

metadata version: 2023-11-14

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  dblp key:
  - journals/corr/abs-2311-05610
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  - https://dblp.org/rec/journals/corr/abs-2311-05610
Johannes Hagemann, Samuel Weinbach, Konstantin Dobler, Maximilian Schall, Gerard de Melo:
Efficient Parallelization Layouts for Large-Scale Distributed Model Training. CoRR abs/2311.05610 (2023)

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