水动力学研究与进展B辑2024,Vol.36Issue(1) :202-212.DOI:10.1007/s42241-024-0015-9

High-precision parallel computing model of solute transport based on GPU acceleration

Shang-hong Zhang Rong-qi Zhang Wen-da Li Xi-yan Yang Yang Zhou
水动力学研究与进展B辑2024,Vol.36Issue(1) :202-212.DOI:10.1007/s42241-024-0015-9

High-precision parallel computing model of solute transport based on GPU acceleration

Shang-hong Zhang 1Rong-qi Zhang 1Wen-da Li 2Xi-yan Yang 1Yang Zhou1
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作者信息

  • 1. School of Water Resources and Hydropower Engineering,North China Electric Power University,Beijing 102206,China
  • 2. School of Water Resources and Hydropower Engineering,North China Electric Power University,Beijing 102206,China;Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science,China Yangtze Power Co.,Ltd.,Yichang 443133,China
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Abstract

The scenario simulation analysis of water environmental emergencies is very important for risk prevention and control,and emergency response.To quickly and accurately simulate the transport and diffusion process of high-intensity pollutants during sudden environmental water pollution events,in this study,a high-precision pollution transport and diffusion model for unstructured grids based on Compute Unified Device Architecture(CUDA)is proposed.The finite volume method of a total variation diminishing limiter with the Kong proposed r-factor is used to reduce numerical diffusion and oscillation errors in the simulation of pollutants under sharp concentration conditions,and graphics processing unit acceleration technology is used to improve computational efficiency.The advection diffusion process of the model is verified numerically using two benchmark cases,and the efficiency of the model is evaluated using an engineering example.The results demonstrate that the model perform well in the simulation of material transport in the presence of sharp concentration.Additionally,it has high computational efficiency.The acceleration ratio is 46 times the single-thread acceleration effect of the original model.The efficiency of the accelerated model meet the requirements of an engineering application,and the rapid early warning and assessment of water pollution accidents is achieved.

Key words

Pollution transport and diffusion model/parallel computing/Compute Unified Device Architecture(CUDA)/pollution event

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基金项目

National Key Research and Development Program of China(2022YFC3202004)

National Natural Science Foundation of China(51979105)

出版年

2024
水动力学研究与进展B辑
中国船舶科学研究中心

水动力学研究与进展B辑

CSTPCDEI
影响因子:0.596
ISSN:1001-6058
参考文献量33
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