A Fully Synthesized 13.7μJ/Prediction 88% Accuracy CIFAR-10 Single-Chip Data-Reusing Wired-Logic Processor Using Non-Linear Neural Network

Yao-Chung Hsu, Atsutake Kosuge, Rei Sumikawa, Kota Shiba, Mototsugu Hamada, Tadahiro Kuroda. A Fully Synthesized 13.7μJ/Prediction 88% Accuracy CIFAR-10 Single-Chip Data-Reusing Wired-Logic Processor Using Non-Linear Neural Network. In Atsushi Takahashi 0001, editor, Proceedings of the 28th Asia and South Pacific Design Automation Conference, ASPDAC 2023, Tokyo, Japan, January 16-19, 2023. pages 182-183, ACM, 2023. [doi]

@inproceedings{HsuKSSHK23,
  title = {A Fully Synthesized 13.7μJ/Prediction 88% Accuracy CIFAR-10 Single-Chip Data-Reusing Wired-Logic Processor Using Non-Linear Neural Network},
  author = {Yao-Chung Hsu and Atsutake Kosuge and Rei Sumikawa and Kota Shiba and Mototsugu Hamada and Tadahiro Kuroda},
  year = {2023},
  doi = {10.1145/3566097.3567942},
  url = {https://doi.org/10.1145/3566097.3567942},
  researchr = {https://researchr.org/publication/HsuKSSHK23},
  cites = {0},
  citedby = {0},
  pages = {182-183},
  booktitle = {Proceedings of the 28th Asia and South Pacific Design Automation Conference, ASPDAC 2023, Tokyo, Japan, January 16-19, 2023},
  editor = {Atsushi Takahashi 0001},
  publisher = {ACM},
  isbn = {978-1-4503-9783-4},
}