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About Mesh Tensorflow Deep Learning For Supercomputers
This document summarizes a research paper on Mesh-TensorFlow, a framework for specifying distributed tensor computations on supercomputers. Mesh-TensorFlow generalizes data-parallel training by allowing tensors to be split across arbitrary dimensions of a multidimensional processor mesh, rather than just the batch dimension. This makes it possible to efficiently train very large models using hybrid data and model parallelism. The authors demonstrate training Transformer models with billions of parameters on TPU clusters using Mesh-TensorFlow.
Detailed Information
| Author: | ['Jose Antonio Freyre Zavala'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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