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PyTorch DDP

3 papers tagged archive 2025-07-28

Introduced by Shen Li et al. in PyTorch Distributed: Experiences on Accelerating Data Parallel Training

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

PyTorch DDP (Distributed Data Parallel) is a distributed data parallel implementation for PyTorch. To guarantee mathematical equivalence, all replicas start from the same initial values for model parameters and synchronize gradients to keep parameters consistent across training iterations. To minimize the intrusiveness, the implementation exposes the same forward API as the user model, allowing applications to seamlessly replace subsequent occurrences of a user model with the distributed data parallel model object with no additional code changes. Several techniques are integrated into the design to deliver high-performance training, including bucketing gradients, overlapping communication with computation, and skipping synchronization.

PaperSource

Papers archive 2025-07-28

3 shown of 3, 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.

Tasks archive 2025-07-28

7 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
HTR1
Handwriting Recognition1
Handwritten Text Recognition1
Language Modeling1
Language Modelling1
Machine Translation1
Translation1

Usage over time archive 2025-07-28

Papers per year tagged with PyTorch DDP: 2020 to 2024, peak 1 1 0 2020: 1 paper 2020 2021: 1 paper 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 1 paper 2024
Papers per year the archive tags with this method, by the paper's archive date (3 dated). Bars are counts, not a trend claim.

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

Replicated Data ParallelData Parallel MethodsDistributed Methods

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