BWPT: Binary weight partial‐sum table for BNN/BWN acceleration-Reference-Cited by-同舟云学术

BWPT: Binary weight partial‐sum table for BNN/BWN acceleration

Published:2022-03-09 Issue:9 Volume:58 Page:346-348
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electronics Letters

Author:

Luo Mengjie¹²,Wang Xiaoqin¹²,Yu Baoying¹²,Wang Dingyi¹,Zhou Yumei¹²

Affiliation:

1. Intelligent Perception research and development Center Institute of Microelectronics of the Chinese Academy of Sciences Beijing China

2. University of Chinese Academy of Sciences Beijing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ell2.12464

Reference17 articles.

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3. UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision

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5. A 2.9–33.0 TOPS/W Reconfigurable 1-D/2-D Compute-Near-Memory Inference Accelerator in 10-nm FinFET CMOS