DREW: Efficient Winograd CNN Inference with Deep Reuse.

@inproceedings{wu-2022-drew, author = {Ruofan Wu and Feng Zhang and Jiawei Guan and Zhen Zheng and Xiaoyong Du and Xipeng Shen}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{DREW: Efficient Winograd CNN Inference with Deep Reuse}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {1807--1816}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3511985}, doi = {https://doi.org/10.1145/3485447.3511985} }