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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 7

Research on GPU-based parallelization of winograd convolution algorithm

Wang Xin
Zhen Xueru
Key Laboratory of Advanced Processes Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi Jiangsu 214122, China
DOI: 10.19734/j.issn.1001-3695.2024.11.0502

Abstract

This paper proposed an innovative Winograd parallel convolution algorithm based on GPU to address the problem of excessive computational load in modern convolutional neural networks. The algorithm used load - balanced task mapping, optimized the data loading strategy to hide latency, and combined the dynamic padding method to fully explore the synergy between the Winograd convolution algorithm and the GPU architecture. Experimental results showed that on multiple convolutional layers of the classic convolutional neural network model ResNet, the proposed algorithm outperformed the standard Winograd convolution algorithm in the NVIDIA cuDNN 8.3. 0 library. It achieved a speed - up ratio of up to 2.46 on the Turing architecture RTX 2080Ti GPU and maintained high computational accuracy. Compared with the standard Winograd convolution algorithm based on GPU, the algorithm significantly improves the efficiency of convolutional computation.

Foundation Support

高等学校学科创新引智计划项目(B23008)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.11.0502
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 7

Publish History

[2025-03-14] Accepted Paper

Cite This Article

王鑫, 甄雪茹. 基于GPU的Winograd卷积算法并行化 [J]. 计算机应用研究, 2025, 42 (7). (2025-03-14). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0502. (Wang Xin, Zhen Xueru. Research on GPU-based parallelization of winograd convolution algorithm [J]. Application Research of Computers, 2025, 42 (7). (2025-03-14). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0502. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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