@inproceedings{conf/www/WuZGZ0S22,
added-at = {2023-03-21T00:00:00.000+0100},
author = {Wu, Ruofan and Zhang, Feng and Guan, Jiawei and Zheng, Zhen and Du, Xiaoyong and Shen, Xipeng},
biburl = {https://www.bibsonomy.org/bibtex/277a34b79a53f4246cd2647791648b4b5/dblp},
booktitle = {WWW},
crossref = {conf/www/2022},
editor = {Laforest, Frédérique and Troncy, Raphaël and Simperl, Elena and Agarwal, Deepak and Gionis, Aristides and Herman, Ivan and Médini, Lionel},
ee = {https://doi.org/10.1145/3485447.3511985},
interhash = {19478bd1f1d3115536b077cea58e9a4b},
intrahash = {77a34b79a53f4246cd2647791648b4b5},
isbn = {978-1-4503-9096-5},
keywords = {dblp},
pages = {1807-1816},
publisher = {ACM},
timestamp = {2024-04-09T12:55:05.000+0200},
title = {DREW: Efficient Winograd CNN Inference with Deep Reuse.},
url = {http://dblp.uni-trier.de/db/conf/www/www2022.html#WuZGZ0S22},
year = 2022
}