Methods › General › Asynchronous Pipeline Parallel › PipeMare

PipeMare

1 paper tagged archive 2025-07-28

Introduced by Bowen Yang et al. in PipeMare: Asynchronous Pipeline Parallel DNN Training

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

PipeMare is an asynchronous (bubble-free) pipeline parallel method for training large neural networks. It involves two main techniques: learning rate rescheduling and discrepancy correction.

Paper Source

Papers archive 2025-07-28

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PipeMare: Asynchronous Pipeline Parallel DNN Training
9 Oct 2019 · 0 repositories · arXiv:1910.05124

Tasks archive 2025-07-28

The archive attaches no task to a paper tagged with this method.

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (1 dated). Bars are counts, not a trend claim.

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Categories archive 2025-07-28

Asynchronous Pipeline Parallel Model Parallel Methods Distributed Methods

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