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Brief Description of MaTEx TensorFlow
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MaTEx-TensorFlow provides a user-transparent distributed memory implementation of TensorFlow using MPI.
For more details, please read our arXiv paper User-transparent Distributed TensorFlow.
- Automatic parallelization of TensorFlow using MPI for GPU and CPU Clusters.
- Support for data parallelism -- which is sufficient for the majority of DL implementations
- Support for parallel data readers including formats such as MNIST, CIFAR-10/100, CSV, HDF5, and Parallel NETCDF (PNETCDF).
This git folder has all the requirements to install and run of MPI enabled TensorFlow. MaTEx-TensorFlow is based on the 1.7.0 release of TensorFlow.