A new stochastic computing multiplier with application to deep convolutional neural networks

@article{Sim2017ANS,
  title={A new stochastic computing multiplier with application to deep convolutional neural networks},
  author={Hyeon Uk Sim and Jongeun Lee},
  journal={2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)},
  year={2017},
  pages={1-6}
}
Stochastic computing (SC) allows for extremely low cost and low power implementations of common arithmetic operations. However inherent random fluctuation error and long latency of SC lead to the degradation of accuracy and energy efficiency when applied to convolutional neural networks (CNNs). In this paper we address the two critical problems of SC-based CNNs, by proposing a novel SC multiply algorithm and its vector extension, SC-MVM (Matrix-Vector Multiplier), under which one SC multiply… CONTINUE READING
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