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Search-free Inference Acceleration for Sparse Convolutional Neural Networks

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Published in 2021 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2021.3102191

Abstract: Sparse convolution neural networks (CNNs) are promising in reducing both memory usage and computational complexity while still preserving high inference accuracy. State-of-the-art sparse CNN accelerators can deliver high throughput by skipping zero weights and/or activations.… read more here.

Keywords: neural networks; sparse; free inference; search free ... See more keywords