Methods › General › Intra-Layer Parallel › Mesh-TensorFlow
Mesh-TensorFlow
Introduced by Noam Shazeer et al. in Mesh-TensorFlow: Deep Learning for Supercomputers
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Mesh-TensorFlow is a language for specifying a general class of distributed tensor computations. Where data-parallelism can be viewed as splitting tensors and operations along the "batch" dimension, in Mesh-TensorFlow, the user can specify any tensor dimensions to be split across any dimensions of a multi-dimensional mesh of processors. A MeshTensorFlow graph compiles into a SPMD program consisting of parallel operations coupled with collective communication primitives such as Allreduce.
Papers archive 2025-07-28
2 shown of 2, 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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High Resolution Medical Image Analysis with Spatial Partitioning 6 Sep 2019 · 1 repository · arXiv:1909.03108
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Mesh-TensorFlow: Deep Learning for Supercomputers 5 Nov 2018 · 1 repository · arXiv:1811.02084
Tasks archive 2025-07-28
6 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 |
|---|---|
| Deep Learning | 1 |
| GPU | 1 |
| Language Modeling | 1 |
| Language Modelling | 1 |
| Medical Image Analysis | 1 |
| Vocal Bursts Intensity Prediction | 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
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