CNN-DMA: A Predictable and Scalable Direct Memory Access Engine for Convolutional Neural Network with Sliding-window Filtering

Zheng Wang, Zhuo Wang, Jian Liao, Chao Chen 0022, Yongkui Yang, Bo Dong, Weiguang Chen, Wenxuan Chen, Ming Lei, Weiyu Guo, Rui Chen, Yi Peng, Zhibin Yu. CNN-DMA: A Predictable and Scalable Direct Memory Access Engine for Convolutional Neural Network with Sliding-window Filtering. In Yiran Chen, Victor V. Zhirnov, Avesta Sasan, Ioannis Savidis, editors, GLSVLSI '21: Great Lakes Symposium on VLSI 2021, Virtual Event, USA, June 22-25, 2021. pages 115-121, ACM, 2021. [doi]

@inproceedings{WangWL0YDCCLGCP21,
  title = {CNN-DMA: A Predictable and Scalable Direct Memory Access Engine for Convolutional Neural Network with Sliding-window Filtering},
  author = {Zheng Wang and Zhuo Wang and Jian Liao and Chao Chen 0022 and Yongkui Yang and Bo Dong and Weiguang Chen and Wenxuan Chen and Ming Lei and Weiyu Guo and Rui Chen and Yi Peng and Zhibin Yu},
  year = {2021},
  doi = {10.1145/3453688.3461496},
  url = {https://doi.org/10.1145/3453688.3461496},
  researchr = {https://researchr.org/publication/WangWL0YDCCLGCP21},
  cites = {0},
  citedby = {0},
  pages = {115-121},
  booktitle = {GLSVLSI '21: Great Lakes Symposium on VLSI 2021, Virtual Event, USA, June 22-25, 2021},
  editor = {Yiran Chen and Victor V. Zhirnov and Avesta Sasan and Ioannis Savidis},
  publisher = {ACM},
  isbn = {978-1-4503-8393-6},
}