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 Zhu^1*, Hanbo Sun¹, Kaizhong Qiu¹, Lixue Xia², Gokul Krishnan⁶, Dimin Niu², Qiuwen Lou³,

Xiaoming Chen⁴, Yuan Xie^{2, 5}, Yu Cao⁶, X. Sharon Hu³, Yu Wang^1*, 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

^*[email protected], [email protected]

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