Acceleration of Sparse Convolutional Neural Network Based on Coarse-Grained Dataflow Architecture
Wu Xinxin1,2,3, Ou Yan1,2,3, Li Wenming1,2, Wang Da1,2, Zhang Hao1,2, Fan Dongrui1,2,3
1(State Key Laboratory of Computer Architecture (Institute of Computing Technology, Chinese Academy of Sciences), Beijing 100190);2(Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190);3(School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049)
Online:2021-07-01
Supported by:
This work was supported by the National Natural Science Foundation of China (61732018, 61872335, 61802367, 61672499), the Strategic Priority Research Program of Chinese Academy of Sciences (XDC05000000), the International Partnership Program of Chinese Academy of Sciences (171111KYSB20170032), and the Innovation Project of the State Key Laboratory of Computer Architecture (CARCH4408, CARCH4412).
Wu Xinxin, Ou Yan, Li Wenming, Wang Da, Zhang Hao, Fan Dongrui. Acceleration of Sparse Convolutional Neural Network Based on Coarse-Grained Dataflow Architecture[J]. Journal of Computer Research and Development, 2021, 58(7): 1504-1517.