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20202022
most citedNAND-SPIN-Based Processing-in-MRAM Architecture for Convolutional Neural Network Acceleration

20 citations · 40 across the 4 of their papers we have counts for

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cs.CV2020

SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training

Pengcheng Dai, Jianlei Yang, Xucheng Ye +5

Training Convolutional Neural Networks (CNNs) usually requires a large number of computational resources. In this paper, \textit{SparseTrain} is proposed to accelerate CNN training…