A neural network framework for running with memristor crossbar.
This code is partly to support the LSTM experiment in the submitted manuscript:
Li, C. et al, Long short-term memory networks in memristor crossbar arrays, Nature Machine Intelligence 1, 49–57 (2019). Link: https://doi.org/10.1038/s42256-018-0001-4 preprint available at: https://arxiv.org/abs/1805.11801
The codes have been tested on the following operation system, but they should support other OS. Windows 10; Mac OS X, 10.13.4
The code was tested on: Mathworks Matlab R2017b
Installation not required.
Run the script in 'demo' folder. The codes that interface the hardware is not provided.
The real_array backend are dependent on the measurement system and hardware. The experimental data will be provided upon reasonable request.
Copyright (c) 2018, Department of Electrical and Computer Engineering, University of Massachusetts Amherst All rights reserved.
PI: Prof. Qiangfei Xia (Email: qxia at umass dot edu Website: http://nano.ecs.umass.edu); Prof. J. Joshua Yang (Email: jjyang at umass dot edu Website: http://www.ecs.umass.edu/ece/jjyang/)
Created by Can Li (Email: me at ilican dot com Website: http://ilican.com) Daniel Belkin, Zhongrui Wang, Wenhao Song
LICENSE
The MIT License (MIT)
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