Presentation Information

[16psb-28]BSTCIM: A Balanced Symmetry Ternary Fully Digital In-MRAM Computing Macro for Energy Efficiency Neural Network

*Zhongzhen Tong1,2, Chenghang Li1,2, Chao Wang1,2, Daming Zhou2, Xiaoyang Lin1,2 (1. National Key Lab of Spintronics, International Innovation Institute, Beihang University (China), 2. School of Integrated Circuit Science and Engineering, Fert Beijing Institute, Beihang University (China))

Keywords:

Computing in-memory,Balanced symmetry ternary,Ternary CIM,GAA-CNTFET,VGSOT-MTJ


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