HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators

Siyue Li, Shize Zhou, Yongqi Xue, Wenjie Fan, Tong Cheng, Jinlun Ji, Chenyang Dai, Wenqing Song, Qinyu Chen, Chang Gao, Li Li 0003, Yuxiang Fu. HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap., 71(4):1863-1875, April 2024. [doi]

@article{LiZXFCJDSCGLF24,
  title = {HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators},
  author = {Siyue Li and Shize Zhou and Yongqi Xue and Wenjie Fan and Tong Cheng and Jinlun Ji and Chenyang Dai and Wenqing Song and Qinyu Chen and Chang Gao and Li Li 0003 and Yuxiang Fu},
  year = {2024},
  month = {April},
  doi = {10.1109/TCSI.2024.3359912},
  url = {https://doi.org/10.1109/TCSI.2024.3359912},
  researchr = {https://researchr.org/publication/LiZXFCJDSCGLF24},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Circuits Syst. I Regul. Pap.},
  volume = {71},
  number = {4},
  pages = {1863-1875},
}