Power-aware pruning for ultrafast, energy-efficient, and accurate optical neural network design-Reference-Cited by-同舟云学术

Power-aware pruning for ultrafast, energy-efficient, and accurate optical neural network design

Published:2022-07-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 59th ACM/IEEE Design Automation Conference
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Short-container-title:

Author:

Hattori Naoki¹,Masuda Yutaka¹,Ishihara Tohru¹,Shinya Akihiko²,Notomi Masaya²

Affiliation:

1. Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan

2. NTT Nanophotonics Center,Morinosato Wakamiya, Atsugi, Japan

Funder

Japan Science and Technology Corporation

Japan Society for the Promotion of Science

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3489517.3530405

Reference14 articles.

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3. Towards Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability;Gu Jiaqi;IEEE TCAD,2021

4. Optical-electronic implementation of artificial neural network for ultrafast and accurate inference processing

5. An Optical Neural Network Architecture based on Highly Parallelized WDM-Multiplier-Accumulator