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20162022
most citedLow-memory GEMM-based convolution algorithms for deep neural networks

44 citations · 87 across the 11 of their papers we have counts for

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math.NA2018

Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks

Barbara Barabasz, Andrew Anderson, Kirk M. Soodhalter +1

Popular deep neural networks (DNNs) spend the majority of their execution time computing convolutions. The Winograd family of algorithms can greatly reduce the number of arithmetic…