NewroSim is a tool for simulating DNN in pseudo-CBA neuromorphic hardware. It was inspired by MLP_NeuroSim_V3.0 but has totally different structure and was made from scratch by Mingi Kim(Undergraduate Student, Major in Materials Science and Engineering, Seoul National University). Default parameters of hardware physical properties are originated from MLP_NeuroSim_V3.0.
$ git clone https://github.com/cyansky99/NewroSim.git
$ cd NewroSim
$ unzip data.zip
$ make
$ ./main
- Chen, P. Y., Peng, X., & Yu, S. (2018). NeuroSim: A circuit-level macro model for benchmarking neuro-inspired architectures in online learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 37(12), 3067-3080.
- Deng, L. (2012). The mnist database of handwritten digit images for machine learning research. IEEE Signal Processing Magazine, 29(6), 141–142.