/Heterogeneous-Systems

We present an algorithm to dynamically adjust the data assigned for each worker at every epoch during the training in a heterogeneous cluster. We empirically evaluate the performance of the dynamic partitioning by training deep neural networks on the CIFAR10 dataset.

Primary LanguagePythonMIT LicenseMIT

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