Efficient Stride 2 Winograd Convolution Method Using Unified Transformation Matrices on FPGA

Chengcheng Huang,Xiaoxiao Dong,Zhao Li,Tengteng Song,Zhenguo Liu, Lele Dong

2021 International Conference on Field-Programmable Technology (ICFPT)（2021）

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摘要

Winograd algorithm can effectively reduce the computational complexity of convolution operation. Effectively using the parallelism of Winograd convolution algorithm can effectively improve the performance of accelerator architectures on FPGA. The stride represents the number of elements that the window slides when filter is scanned on the input feature map. The Winograd algorithm with the stride o...

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关键词

convolutional neural network,stride,Winograd,FPGA,template,unified transformation matrices

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