Reconfigurable Multifunction Computing Unit Using an Universal Piecewise Linear Method-Reference-Cited by-同舟云学术

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Reconfigurable Multifunction Computing Unit Using an Universal Piecewise Linear Method

Published:2022-05-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Lyu Fei¹,Chen Jian¹,Huang Shuo¹,Wang Wenxiu¹,Luo Yuanyong²,Wang Yu³

Affiliation:

1. Jinling Institute of Technology,School of Electronics and Information Engineering,Nanjing,China

2. Huawei Corporation,Linx Lab,Department of Turing Architecture Design, HiSilicon,Shenzhen,China

3. Nanjing Xiaozhuang University,School of Electronics Engineering,Nanjing,China

Funder

Jinling Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937773.pdf?arnumber=9937773

Reference23 articles.

1. An Energy-Efficient Sparse Deep-Neural-Network Learning Accelerator With Fine-Grained Mixed Precision of FP8–FP16

2. A Scalable Multi-TeraOPS Core for AI Training and Inference

3. An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices

4. Design and implementation of goldschmidts algorithm for floating point division and square root

5. A radix-4 single-precision floating point divider based on digit set interleaving

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