UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision

Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo. UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision. J. Solid-State Circuits, 54(1):173-185, 2019. [doi]

@article{LeeKKSKY19,
  title = {UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision},
  author = {Jinmook Lee and Changhyeon Kim and Sanghoon Kang and Dongjoo Shin and Sangyeob Kim and Hoi-Jun Yoo},
  year = {2019},
  doi = {10.1109/JSSC.2018.2865489},
  url = {https://doi.org/10.1109/JSSC.2018.2865489},
  researchr = {https://researchr.org/publication/LeeKKSKY19},
  cites = {0},
  citedby = {0},
  journal = {J. Solid-State Circuits},
  volume = {54},
  number = {1},
  pages = {173-185},
}