Pulse-Width Modulation based Dot-Product Engine for Neuromorphic Computing System using Memristor Crossbar Array
Hao Jiang(University of Massachusetts Amherst), Mark Barnell(United States Air Force Research Laboratory), Qiangfei Xia(University of Massachusetts Amherst), Kevin Yamada(San Francisco State University), Thomas Kwok(San Francisco State University), Yiran Chen(Duke University), J. Joshua Yang(Chongqing Institute of Green and Intelligent Technology), Zizhe Ren(San Francisco State University), Hai Li(Ministry of Agriculture), Xiaorong Zhang(San Francisco State University), Fu Luo(San Francisco State University), Qing Wu(United States Air Force Research Laboratory), Qing Yang(Guangzhou University of Chinese Medicine)
Cited by 24
Related Papers
Fully hardware-implemented memristor convolutional neural network
|Nature|2020|2.2k
Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges
|Advanced Materials|2019|830
Recommended Methods to Study Resistive Switching Devices
|Advanced Electronic Materials|2018|649
Understanding memristive switching via in situ characterization and device modeling
|Nature Communications|2019|479