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Phenomenally successful in practical inference problems, convolutional neural networks (CNN) are widely deployed in mobile devices, data centers, and even supercomputers.
Reducing the bandwidth of sparse symmetric matrices
Elizabeth Cuthill and James McKee · 1969
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Two Fast Algorithms for Sparse Matrices: Multiplication and Permuted Transposition
Fred G. Gustavson · 1978
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The University of Florida Sparse Matrix Collection
Timothy A. Davis and Yifan Hu · 2011
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Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms
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EIE: efficient inference engine on compressed deep neural network
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, and William J. Dally
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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han, Huizi Mao, and William J. Dally
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Yani Ioannou, Duncan Robertson, Jamie Shotton, Roberto Cipolla, and Antonio Criminisi · 2016
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Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
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