A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks (Abstract Only)

Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren. A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks (Abstract Only). In Jonathan W. Greene, Jason Helge Anderson, editors, Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2017, Monterey, CA, USA, February 22-24, 2017. pages 290-291, ACM, 2017. [doi]

@inproceedings{LiLXYR17,
  title = {A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks (Abstract Only)},
  author = {Yixing Li and Zichuan Liu and Kai Xu and Hao Yu and Fengbo Ren},
  year = {2017},
  url = {http://dl.acm.org/citation.cfm?id=3021786},
  researchr = {https://researchr.org/publication/LiLXYR17},
  cites = {0},
  citedby = {0},
  pages = {290-291},
  booktitle = {Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2017, Monterey, CA, USA, February 22-24, 2017},
  editor = {Jonathan W. Greene and Jason Helge Anderson},
  publisher = {ACM},
  isbn = {978-1-4503-4354-1},
}