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Breadth-First Pipeline Parallelism

2022-11-11 02:00:32
Joel Lamy-Poirier
arXiv_CL
 
Abstract

We introduce Breadth-First Pipeline Parallelism, a novel training schedule which optimizes the combination of pipeline and data parallelism. Breadth-First Pipeline Parallelism lowers training time, cost and memory usage by combining a high GPU utilization with a small batch size per GPU, and by making use of fully sharded data parallelism. Experimentally, we observed increases of up to 53% in training speed.

Abstract (translated)

URL

https://arxiv.org/abs/2211.05953

PDF

https://arxiv.org/pdf/2211.05953.pdf

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