Memristive Stochastic Computing for Deep Learning Parameter Optimization

@article{Lammie2021MemristiveSC,
  title={Memristive Stochastic Computing for Deep Learning Parameter Optimization},
  author={Corey Lammie and Jason Kamran Eshraghian and Wei D. Lu and Mostafa Rahimi Azghadi},
  journal={IEEE Transactions on Circuits and Systems II: Express Briefs},
  year={2021},
  volume={68},
  pages={1650-1654}
}
Stochastic Computing (SC) is a computing paradigm that allows for the low-cost and low-power computation of various arithmetic operations using stochastic bit streams and digital logic. In contrast to conventional representation schemes used within the binary domain, the sequence of bit streams in the stochastic domain is inconsequential, and computation is usually non-deterministic. In this brief, we exploit the stochasticity during switching of probabilistic Conductive Bridging RAM (CBRAM… Expand
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