Multifunctional computing-in-memory SRAM cells based on two-surface-channel MoS2 transistors

iScience

Fan Wang¹  Yan Xiong¹  Peng Zhou¹  Huawei Chen¹  Yi Ding¹  Zhenhan Zhang¹  Xiang Hou¹  Jiayi Li¹ 

[1] State Key Laboratory of ASIC and System, Fudan University, Shanghai, 200433, China;

关键词: Nanotechnology;    Engineering;    Devices;   

DOI  :  

来源: DOAJ

【 摘 要 】

Summary: Driven by technologies such as machine learning, artificial intelligence, and internet of things, the energy efficiency and throughput limitations of the von Neumann architecture are becoming more and more serious. As a new type of computer architecture, computing-in-memory is an alternative approach to alleviate the von Neumann bottleneck. Here, we have demonstrated two kinds of computing-in-memory designs based on two-surface-channel MoS2 transistors: symmetrical 4T2R Static Random-Access Memory (SRAM) cell and skewed 3T3R SRAM cell, where the symmetrical SRAM cell can realize in-memory XNOR/XOR computations and the skewed SRAM cell can achieve in-memory NAND/NOR computations. Furthermore, since both the memory and computing units are based on two-surface-channel transistors with high area efficiency, the two proposed computing-in-memory SRAM cells consume fewer transistors, suggesting a potential application in highly area-efficient and multifunctional computing chips.

【 授权许可】

Unknown