A 40-nm 646.6TOPS/W Sparsity-Scaling DNN Processor for On-Device Training

Zih-Sing Fu, Yu-Chi Lee, Alex Park, Chia-Hsiang Yang. A 40-nm 646.6TOPS/W Sparsity-Scaling DNN Processor for On-Device Training. In IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), Honolulu, HI, USA, June 12-17, 2022. pages 40-41, IEEE, 2022. [doi]

@inproceedings{FuLPY22,
  title = {A 40-nm 646.6TOPS/W Sparsity-Scaling DNN Processor for On-Device Training},
  author = {Zih-Sing Fu and Yu-Chi Lee and Alex Park and Chia-Hsiang Yang},
  year = {2022},
  doi = {10.1109/VLSITechnologyandCir46769.2022.9830487},
  url = {https://doi.org/10.1109/VLSITechnologyandCir46769.2022.9830487},
  researchr = {https://researchr.org/publication/FuLPY22},
  cites = {0},
  citedby = {0},
  pages = {40-41},
  booktitle = {IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), Honolulu, HI, USA, June 12-17, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-9772-5},
}