A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology
Author:
Affiliation:
1. Northeastern University
2. Yokohama National University, Japan
3. University of Southern California
4. University of Alberta, Canada
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3307650.3322270
Reference55 articles.
1. Survey of Stochastic Computing
2. The Promise and Challenge of Stochastic Computing
3. VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing
4. Stochastic neural computation. I. Computational elements
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