RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator

Songyun Qu, Bing Li, Ying Wang, Dawen Xu 0002, Xiandong Zhao, Lei Zhang. RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator. In 57th ACM/IEEE Design Automation Conference, DAC 2020, San Francisco, CA, USA, July 20-24, 2020. pages 1-6, IEEE, 2020. [doi]

@inproceedings{QuLW0ZZ20,
  title = {RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator},
  author = {Songyun Qu and Bing Li and Ying Wang and Dawen Xu 0002 and Xiandong Zhao and Lei Zhang},
  year = {2020},
  doi = {10.1109/DAC18072.2020.9218724},
  url = {https://doi.org/10.1109/DAC18072.2020.9218724},
  researchr = {https://researchr.org/publication/QuLW0ZZ20},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {57th ACM/IEEE Design Automation Conference, DAC 2020, San Francisco, CA, USA, July 20-24, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-1085-1},
}