IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration

Fangxin Liu, Wenbo Zhao, Zongwu Wang, Tao Yang, Li Jiang. IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration. In Yiran Chen, Victor V. Zhirnov, Avesta Sasan, Ioannis Savidis, editors, GLSVLSI '21: Great Lakes Symposium on VLSI 2021, Virtual Event, USA, June 22-25, 2021. pages 253-258, ACM, 2021. [doi]

@inproceedings{LiuZWYJ21,
  title = {IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration},
  author = {Fangxin Liu and Wenbo Zhao and Zongwu Wang and Tao Yang and Li Jiang},
  year = {2021},
  doi = {10.1145/3453688.3461491},
  url = {https://doi.org/10.1145/3453688.3461491},
  researchr = {https://researchr.org/publication/LiuZWYJ21},
  cites = {0},
  citedby = {0},
  pages = {253-258},
  booktitle = {GLSVLSI '21: Great Lakes Symposium on VLSI 2021, Virtual Event, USA, June 22-25, 2021},
  editor = {Yiran Chen and Victor V. Zhirnov and Avesta Sasan and Ioannis Savidis},
  publisher = {ACM},
  isbn = {978-1-4503-8393-6},
}