Towards an optimized distributed deep learning framework for a heterogeneous multi-GPU cluster
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DOI: 10.1007/s10586-020-03144-9
Abstract: This paper presents a novel “Distributed Deep Learning Framework” for a heterogeneous multi-GPU cluster that can effectively improve overall resource utilization without sacrificing training accuracy. Specifically, we employ a hybrid aggregation approach using a parameter-server… read more here.
Keywords: heterogeneous multi; framework; deep learning; multi gpu ... See more keywords