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Pure CMOS embedded Artificial Synaptic Device (eASD) for High Density Neuromorphic Computing Chip
Conference paper

Pure CMOS embedded Artificial Synaptic Device (eASD) for High Density Neuromorphic Computing Chip

Hsin-Yuan Yu, Yao-Hung Huang, Yue-Der Chih, Jonathan Chang, Ya-Chin King and Chrong Jung Lin
2022 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2022
2022
DOI: https://doi.org/10.1109/VLSI-TSA54299.2022.9771034

Abstract

Electronic Optical and Magnetic Materials Computer Science Applications Hardware and Architecture Electrical and Electronic Engineering Safety Risk Reliability and Quality
An embedded Artificial Synaptic Device (eASD) featuring high-performance and high-density characteristics with n-MOSFET's high-k layer as memristive switching pairs in pure 28nm CMOS process is firstly proposed. Taking the advantages of reliable output constructed by complementary memristance states, the novel artificial synaptic device fully compatible to CMOS process is promising to be implemented in the neuromorphic AI computing chip for the coming high-speed neural network system.

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