EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing

Bo Liu 0019, Zhen Wang, Hu Fan, Jing Yang, Bo Liu, Wentao Zhu, Lepeng Huang, Yu Gong, Wei Ge, Longxing Shi. EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing. IEEE Access, 7:82453-82465, 2019. [doi]

@article{LiuWFYLZHGGS19,
  title = {EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing},
  author = {Bo Liu 0019 and Zhen Wang and Hu Fan and Jing Yang and Bo Liu and Wentao Zhu and Lepeng Huang and Yu Gong and Wei Ge and Longxing Shi},
  year = {2019},
  doi = {10.1109/ACCESS.2019.2924340},
  url = {https://doi.org/10.1109/ACCESS.2019.2924340},
  researchr = {https://researchr.org/publication/LiuWFYLZHGGS19},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {7},
  pages = {82453-82465},
}