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» UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks |
| Sorted by Date | Classified by Faculty | Di Wu, Jingjie Li, Setareh Behroozi, Younghyun Kim, and Joshua San Miguel. UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks. In IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021, Boston, MA, USA, July 26-28, 2021, pp. 1-6, IEEE, 2021. Download(unavailable) Abstract(unavailable) BibTeX@inproceedings{DBLP:conf/islped/WuLBKM21, author = {Di Wu and Jingjie Li and Setareh Behroozi and Younghyun Kim and Joshua San Miguel}, title = {{UNO:} Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks}, booktitle = {{IEEE/ACM} International Symposium on Low Power Electronics and Design, {ISLPED} 2021, Boston, MA, USA, July 26-28, 2021}, pages = {1--6}, publisher = {{IEEE}}, year = {2021}, url = {https://doi.org/10.1109/ISLPED52811.2021.9502473}, doi = {10.1109/ISLPED52811.2021.9502473}, timestamp = {Fri, 06 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/islped/WuLBKM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} } Generated by bib.pl (written by Patrick Riley ) on Mon Sep 27, 2021 15:47:01 time=1207019082 |
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