A 28nm Hybrid 2T1R RRAM Computing-in-Memory Macro for Energy-efficient AI Edge Inference

Wang Ye(Chinese Academy of Sciences), Ming Liu(China Academy of Space Technology), Weizeng Li(Chinese Academy of Sciences), Jianguo Yang(Chinese Academy of Sciences), Xiaoxin Xu(Shanghai University), Jinshan Yue(Chinese Academy of Sciences), Chunmeng Dou(Chinese Academy of Sciences), Linfang Wang(Chinese Academy of Sciences), Hanghang Gao(Chinese Academy of Sciences), Zhidao Zhou(Chinese Academy of Sciences), Qi Liu(State Key Laboratory of Low-Dimensional Quantum Physics), Jing Liu(Chinese Academy of Sciences), Dashan Shang(University of Hong Kong), Jinghui Tian(Fudan University), Junjie An(Chinese Academy of Sciences)
2022 IEEE Asian Solid-State Circuits Conference (A-SSCC)
November 6, 2022
10.1109/a-sscc56115.2022.9980669
Cited by 7

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