Design of power-efficient approximate multipliers for approximate artificial neural networks

@article{Mrazek2016DesignOP,
  title={Design of power-efficient approximate multipliers for approximate artificial neural networks},
  author={Vojtech Mrazek and Syed Shakib Sarwar and Luk{\'a}s Sekanina and Zdenek Vas{\'i}cek and Kaushik Roy},
  journal={2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)},
  year={2016},
  pages={1-7}
}
Artificial neural networks (NN) have shown a significant promise in difficult tasks like image classification or speech recognition. Even well-optimized hardware implementations of digital NNs show significant power consumption. It is mainly due to non-uniform pipeline structures and inherent redundancy of numerous arithmetic operations that have to be performed to produce each single output vector. This paper provides a methodology for the design of well-optimized power-efficient NNs with a… CONTINUE READING

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