A method of accelerating CNN computation on DSP. (November 2020)

• Record Type: Journal Article
• Authors: Li, Bin; Luo, Ying-guang; Guo-bin Fu, Luo; Peng, Ye; Hu, Jia
• Is Part Of: Journal of physics. Volume 1684(2020)
• Publication Date: 2020-11
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1684/1/012063
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Because convolution network contains a lot of multiplication and addition operations, there is still room for optimization after it is implemented on the hardware platform. This paper mainly studies the method of accelerating the deep learning algorithm on DSP, proposes to improve the convolution layer calculation by using Winograd algorithm, and implements it on GPDSP. The final results show that it can increase the parallelism of data calculation and significantly reduce the computing time.