FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator
Geng Yuan(Northeastern University), Caiwen Ding(Syracuse University), Payman Behnam(Georgia Institute of Technology), Xuehai Qian(Tsinghua University), Ali Shafiee(Damghan University), Mahdi Nazm Bojnordi(University of Rochester), Sheng Lin(Qingdao Agricultural University), Hang Liu(Hunan University), Yanzhi Wang(Sichuan University), Xiaolong Ma(Nankai University), Zhengang Li(Northeastern University)
Cited by 9
Related Papers
CNTFET-Based Design of Ternary Logic Gates and Arithmetic Circuits
|IEEE Transactions on Nanotechnology|2009|599
Incidence, Clinical Course, and Predictors of Prolonged Recovery Time Following Sport-Related Concussion in High School and College Athletes
|Journal of the International Neuropsychological Society|2012|501
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers
|Lecture notes in computer science|2018|498
Deep Reinforcement Learning for Building HVAC Control
|Unknown|2017|447
Adversarial T-Shirt! Evading Person Detectors in a Physical World
|Lecture notes in computer science|2020|296