eCNN-Reference-Cited by-同舟云学术

eCNN

Published:2019-10-12 Issue: Volume: Page:
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Container-title:Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture
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Author:

Huang Chao-Tsung¹,Ding Yu-Chun¹,Wang Huan-Ching¹,Weng Chi-Wen¹,Lin Kai-Ping¹,Wang Li-Wei¹,Chen Li-De¹

Affiliation:

1. National Tsing Hua University, Taiwan, R.O.C.

Funder

Ministry of Science and Technology, Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3352460.3358263

Reference67 articles.

1. Bit-pragmatic deep neural network computing

2. Cnvlutin

3. Renzo Andri Lukas Cavigelli Davide Rossi and Luca Benini. 2018. YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37 (2018). Renzo Andri Lukas Cavigelli Davide Rossi and Luca Benini. 2018. YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37 (2018).

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