A 28-nm 36 Kb SRAM CIM Engine With 0.173 $\mu $m$^{2}$ 4T1T Cell and Self-Load-0 Weight Update for AI Inference and Training Applications-Reference-Cited by-同舟云学术

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A 28-nm 36 Kb SRAM CIM Engine With 0.173 $\mu $m$^{2}$ 4T1T Cell and Self-Load-0 Weight Update for AI Inference and Training Applications

Published:2024 Issue: Volume: Page:1-13
ISSN:0018-9200
Container-title:IEEE Journal of Solid-State Circuits
language:
Short-container-title:IEEE J. Solid-State Circuits

Author:

Zhao Chenyang¹^ORCID,Fang Jinbei¹,Huang Xiaoli¹,Chen Deyang¹,Guo Zhiwang¹,Jiang Jingwen¹^ORCID,Wang Jiawei¹,Yang Jianguo²^ORCID,Han Jun¹^ORCID,Zhou Peng¹^ORCID,Xue Xiaoyong¹^ORCID,Zeng Xiaoyang¹^ORCID

Affiliation:

1. School of Microelectronics, State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China

2. Laboratory of Microelectronics Devices and Integrated Technology, Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China

Funder

STI 2030—Major Projects

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

ZTE Industry-University-Institute Cooperation Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4/4359912/10535738.pdf?arnumber=10535738

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