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We present a lightweight Python framework for distributed training of neuralnetworks on multiple GPUs or CPUs. The framework is built on the popular Kerasmachine learning library. The Message Passing Interface (MPI) protocol is usedto coordinate the training process, and the system is well suited for jobsubmission at supercomputing sites. We detail the software's features, describeits use, and demonstrate its performance on systems of varying sizes on abenchmark problem drawn from high-energy physics research.

An MPI-Based Python Framework for Distributed Training with Keras