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An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators.

Hanbo SunZhenhua ZhuYi CaiXiaoming ChenYu WangHuazhong Yang
Published in: ASP-DAC (2020)
Keyphrases
  • main contribution
  • real time
  • memory usage
  • neural network
  • training set
  • information processing
  • energy efficient
  • feature selection
  • wireless sensor networks
  • theoretical framework
  • random access