2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.ET2023
Cryogenic quasi-static embedded DRAM for energy-efficient compute-in-memory applications
Yuhao Shu, Hongtu Zhang, Hao Sun +9
Compute-in-memory (CIM) presents an attractive approach for energy-efficient computing in data-intensive applications. However, the development of suitable memory designs to achiev…
physics.app-ph2023
SOT-MRAM-Enabled Probabilistic Binary Neural Networks for Noise-Tolerant and Fast Training
Puyang Huang, Yu Gu, Chenyi Fu +10
We report the use of spin-orbit torque (SOT) magnetoresistive random-access memory (MRAM) to implement a probabilistic binary neural network (PBNN) for resource-saving applications…
eess.SY2022★ 2 cited
Generic Cryo-CMOS Device Modeling and EDACompatible Platform for Reliable Cryogenic IC Design
Zhidong Tang, Zewei Wang, Yumeng Yuan +15
This paper outlines the establishment of a generic cryogenic CMOS database in which key electrical parameters and transfer characteristics of the MOSFETs are quantified as function…