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cuConv: CUDA implementation of convolution for CNN inference

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1 Published in 2022 at "Cluster Computing"

DOI: 10.1007/s10586-021-03494-y

Abstract: Convolutions are the core operation of deep learning applications based on Convolutional Neural Networks (CNNs). Current GPU architectures are highly efficient for training and deploying deep CNNs, and are largely used in production. State–of–the–art implementations,… read more here.

Keywords: implementation; implementation convolution; cnn inference; convolution ... See more keywords