Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang. EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks. In Rob Oshana, editor, DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10 - 14, 2022. pages 259-264, ACM, 2022. [doi]
@inproceedings{LiuZWCHJLJ22,
title = {EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks},
author = {Fangxin Liu and Wenbo Zhao and Zongwu Wang and Yongbiao Chen and Zhezhi He and Naifeng Jing and Xiaoyao Liang and Li Jiang},
year = {2022},
doi = {10.1145/3489517.3530660},
url = {https://doi.org/10.1145/3489517.3530660},
researchr = {https://researchr.org/publication/LiuZWCHJLJ22},
cites = {0},
citedby = {0},
pages = {259-264},
booktitle = {DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10 - 14, 2022},
editor = {Rob Oshana},
publisher = {ACM},
isbn = {978-1-4503-9142-9},
}