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» UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks |
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| 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}
}
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