Efficient Parallelization Layouts for Large-Scale Distributed Model Training

Fuente: arXiv

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Bibliographic Details
Main Authors:	Hagemann, Johannes, Weinbach, Samuel, Dobler, Konstantin, Schall, Maximilian, de Melo, Gerard
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2311.05610