Citation Information: Zhenhua Zhu, Hanbo Sun, Kaizhong Qiu, Lixue Xia, Gokul Krishnan, Guohao Dai, Dimin Niu, Xiaoming Chen, X. Sharon Hu, Yu Cao, Yuan Xie, Yu Wang, Huazhong Yang, MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems, in Great Lakes Symposium on VLSI (GLSVLSI), 2020.
Zhenhua Zhu1*, Hanbo Sun1, Kaizhong Qiu1, Lixue Xia2, Gokul Krishnan6, Dimin Niu2, Qiuwen Lou3,
Xiaoming Chen4, Yuan Xie2, 5, Yu Cao6, X. Sharon Hu3, Yu Wang1*, and Huazhong Yang1
1Tsinghua University, 2Alibaba Group, 3University of Notre Dame, 4Institute of Computing Technology, Chinese Academy of Sciences, 5University of California, Santa Barbara, 6Arizona State University
*zhuzhenh18@mails.tsinghua.edu.cn, yu-wang@tsinghua.edu.cn
MNSIM_Python version 1.0 is still a beta version. If you have any questions and suggestions about MNSIM_Python please contact us via e-mail. We hope that MNSIM_Python can be helpful to your research work, and sincerely invite every PIM researcher to add your ideas to MNSIM_Python to enlarge its function.
For more information about MNSIM_Python, please refer to the MNSIM_manual.pdf