A Floating-Point CIM Macro Featuring Asymmetric Exponent Encoding and Adaptive Mantissa Truncation for High-Efficiency AI Edge Computing

Zhiting Lin, Rongtao Li, Xiaoyu Wang, Hao Li, Xuefeng Li, Yu Liu 0113, Xin Li 0099, Xiulong Wu. A Floating-Point CIM Macro Featuring Asymmetric Exponent Encoding and Adaptive Mantissa Truncation for High-Efficiency AI Edge Computing. In IEEE International Symposium on Circuits and Systems, ISCAS 2026, Shanghai, China, May 24-28, 2026. pages 2198-2202, IEEE, 2026. [doi]

@inproceedings{LinLWLLLLW26,
  title = {A Floating-Point CIM Macro Featuring Asymmetric Exponent Encoding and Adaptive Mantissa Truncation for High-Efficiency AI Edge Computing},
  author = {Zhiting Lin and Rongtao Li and Xiaoyu Wang and Hao Li and Xuefeng Li and Yu Liu 0113 and Xin Li 0099 and Xiulong Wu},
  year = {2026},
  doi = {10.1109/ISCAS66217.2026.11562558},
  url = {https://doi.org/10.1109/ISCAS66217.2026.11562558},
  researchr = {https://researchr.org/publication/LinLWLLLLW26},
  cites = {0},
  citedby = {0},
  pages = {2198-2202},
  booktitle = {IEEE International Symposium on Circuits and Systems, ISCAS 2026, Shanghai, China, May 24-28, 2026},
  publisher = {IEEE},
  isbn = {979-8-3315-7769-8},
}