Methods › General › Distributed Methods › PipeDream
PipeDream
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
PipeDream is an asynchronous pipeline parallel strategy for training large neural networks. It adds inter-batch pipelining to intra-batch parallelism to further improve parallel training throughput, helping to better overlap computation with communication and reduce the amount of communication when possible.
Papers archive 2025-07-28
5 shown of 5, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism 24 Jun 2024 · 0 repositories · arXiv:2406.17145
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PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction 1 Dec 2023 · 1 repository · arXiv:2312.00839
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Pipeline Parallelism for Inference on Heterogeneous Edge Computing 28 Oct 2021 · 0 repositories · arXiv:2110.14895
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Group-based Interleaved Pipeline Parallelism for Large-scale DNN Training 29 Sep 2021 · 1 repository
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LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor Scheduling 14 Aug 2021 · 0 repositories · arXiv:2108.06629
Tasks archive 2025-07-28
8 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Edge-computing | 1 |
| GPU | 1 |
| Image Classification | 1 |
| Machine Translation | 1 |
| Prediction | 1 |
| Scheduling | 1 |
| Sentiment Analysis | 1 |
| image-classification | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections