Optimizing Distributed DNN Training Using CPUs and BlueField-2 DPUs
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DOI: 10.1109/mm.2021.3139027
Abstract: The deep learning (DL) training process consists of multiple phases—data augmentation, training, and validation of the trained model. Traditionally, these phases are executed either on the central processing units or graphics processing units in a… read more here.
Keywords: training; bluefield dpus; distributed dnn; optimizing distributed ... See more keywords