Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform

Jiajun Gao, Yongxin Zhu 0001, Meikang Qiu, Kuen Hung Tsoi, Xinyu Niu, Wayne Luk, Ruizhe Zhao, Zhiqiang Que, Wei Mao, Can Feng, Xiaowen Zha, Guobao Deng, Jiayi Chen, Tao Liu. Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform. In Meikang Qiu, editor, Smart Computing and Communication - Third International Conference, SmartCom 2018, Tokyo, Japan, December 10-12, 2018, Proceedings. Volume 11344 of Lecture Notes in Computer Science, pages 87-96, Springer, 2018. [doi]

@inproceedings{Gao0QTNLZQMFZDC18,
  title = {Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform},
  author = {Jiajun Gao and Yongxin Zhu 0001 and Meikang Qiu and Kuen Hung Tsoi and Xinyu Niu and Wayne Luk and Ruizhe Zhao and Zhiqiang Que and Wei Mao and Can Feng and Xiaowen Zha and Guobao Deng and Jiayi Chen and Tao Liu},
  year = {2018},
  doi = {10.1007/978-3-030-05755-8_9},
  url = {https://doi.org/10.1007/978-3-030-05755-8_9},
  researchr = {https://researchr.org/publication/Gao0QTNLZQMFZDC18},
  cites = {0},
  citedby = {0},
  pages = {87-96},
  booktitle = {Smart Computing and Communication - Third International Conference, SmartCom 2018, Tokyo, Japan, December 10-12, 2018, Proceedings},
  editor = {Meikang Qiu},
  volume = {11344},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-05755-8},
}