GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores

Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing. GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. In 57th ACM/IEEE Design Automation Conference, DAC 2020, San Francisco, CA, USA, July 20-24, 2020. pages 1-6, IEEE, 2020. [doi]

@inproceedings{SongWLJKLJ20,
  title = {GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores},
  author = {Zhuoran Song and Jianfei Wang and Tianjian Li and Li Jiang and Jing Ke and Xiaoyao Liang and Naifeng Jing},
  year = {2020},
  doi = {10.1109/DAC18072.2020.9218566},
  url = {https://doi.org/10.1109/DAC18072.2020.9218566},
  researchr = {https://researchr.org/publication/SongWLJKLJ20},
  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},
}