AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks-Reference-Cited by-同舟云学术

AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks

Published:2020-09-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 on Great Lakes Symposium on VLSI
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Author:

Ma Dongning¹,Yin Xunzhao²,Niemier Michael³,Hu X. Sharon³,Jiao Xun¹

Affiliation:

1. Villanova University, Villanova, PA, USA

2. Zhejiang University, Hangzhou, China

3. University of Notre Dame, Notre Dame, IN, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3386263.3407595

Reference26 articles.

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3. Zidong Du et al. Leveraging the error resilience of neural networks for designing highly energy efficient accelerators. IEEE TCAD. Zidong Du et al. Leveraging the error resilience of neural networks for designing highly energy efficient accelerators. IEEE TCAD.

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