NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques. Bao, W., Chang, L., Chen, Y., Deng, K., Agarwal, A., Barsoum, E., & Taha, A. CoRR, 2019.
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Paper bibtex @article{journals/corr/abs-1910-00178,
added-at = {2019-10-04T00:00:00.000+0200},
author = {Bao, Wenlei and Chang, Li-Wen and Chen, Yang and Deng, Ke and Agarwal, Amit and Barsoum, Emad and Taha, Abe},
biburl = {https://www.bibsonomy.org/bibtex/2d54d9ccee97353c133c7cac86d591e4c/dblp},
ee = {http://arxiv.org/abs/1910.00178},
interhash = {916f711a4e3fa0b8d72a5f714619ea23},
intrahash = {d54d9ccee97353c133c7cac86d591e4c},
journal = {CoRR},
keywords = {dblp},
timestamp = {2019-10-05T11:37:54.000+0200},
title = {NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-00178},
volume = {abs/1910.00178},
year = 2019
}
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