AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference

@article{He2018AxTrainHN,
  title={AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference},
  author={Xin He and Liu Ke and W. Lu and Guihai Yan and Xuan Zhang},
  journal={Proceedings of the International Symposium on Low Power Electronics and Design},
  year={2018}
}
  • Xin He, Liu Ke, +2 authors Xuan Zhang
  • Published 2018
  • Computer Science, Engineering, Mathematics
  • Proceedings of the International Symposium on Low Power Electronics and Design
  • The intrinsic error tolerance of neural network (NN) makes approximate computing a promising technique to improve the energy efficiency of NN inference. [...] Key Method Specifically, AxTrain leverages the synergy between two orthogonal methods---one actively searches for a network parameters distribution with high error tolerance, and the other passively learns resilient weights by numerically incorporating the noise distributions of the approximate hardware in the forward pass during the training phase…Expand Abstract
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    Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits
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