SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search

Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni 0004, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin. SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. In IEEE/ACM International Conference on Computer Aided Design, ICCAD 2023, San Francisco, CA, USA, October 28 - Nov. 2, 2023. pages 1-9, IEEE, 2023. [doi]

@inproceedings{ShouLYWNIHYZY23,
  title = {SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search},
  author = {Shengxi Shou and Che-Kai Liu and Sanggeon Yun and Zishen Wan and Kai Ni 0004 and Mohsen Imani and X. Sharon Hu and Jianyi Yang and Cheng Zhuo and Xunzhao Yin},
  year = {2023},
  doi = {10.1109/ICCAD57390.2023.10323738},
  url = {https://doi.org/10.1109/ICCAD57390.2023.10323738},
  researchr = {https://researchr.org/publication/ShouLYWNIHYZY23},
  cites = {0},
  citedby = {0},
  pages = {1-9},
  booktitle = {IEEE/ACM International Conference on Computer Aided Design, ICCAD 2023, San Francisco, CA, USA, October 28 - Nov. 2, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-2225-5},
}