中国水利Issue(12)：64-72,9.DOI:10.3969/j.issn.1000-1123.2025.12.010
基于GPU的洪涝模型计算效率提升方法研究
Study on acceleration method of the flood model based on GPU
摘要
Abstract
Due to the dual effects of global climate warming and extreme rainstorms,flood disasters occur frequently.It is very important to improve the computational efficiency of flood model for real-time simulation and prediction of flood.However,the huge amount of calculation brought by refined flood simulation makes it difficult to realize real-time simulation calculation,which cannot meet the needs of real-time calculation of simulation results and release of flood warning.An efficient and high-precision full hydrodynamic numerical model based on GPU acceleration technology is constructed,and the computational efficiency acceleration ratio of GPU and CPU in flood simulation is quantitatively studied.The results show that:Under the same settings,NVIDIA Tesla P100-PCIE has the best computational efficiency for other types of computing engines.With the same DEM grid resolution and different rainfall return periods,the GPU computing efficiency increases with the increase of rainfall return period,and the GPU/CPU parallel computing efficiency acceleration ratio is 1.25～16.28 times.When the recurrence period of rainfall is the same,the higher the resolution accuracy of the DEM grid is,the more significant the GPU acceleration efficiency is.When the grid resolution is 3m and 5m,the computational efficiency of NVIDIA GeForce GTX 980Ti is 4.32 and 3.26 times higher than that of CPU(single core),while NVIDIA Tesla P100-PCIE can increase by 16.28 and 7.86 times respectively.In summary,while ensuring better simulation accuracy,the finer the DEM grid resolution,the higher the GPU acceleration calculation efficiency.关键词
洪涝灾害/二维水动力模型/GPU/计算效率Key words
flood disaster/two-dimensional hydrodynamic model/GPU/computational efficiency分类
水利科学引用本文复制引用
康永德,康爱泽,侯精明,许尔文,任小凤..基于GPU的洪涝模型计算效率提升方法研究[J].中国水利,2025,(12):64-72,9.基金项目
国家自然科学基金(U21A20468、U22A20592) （U21A20468、U22A20592）
甘肃省重点研发计划(25YFWG001) （25YFWG001）
甘肃省科技计划(24RCKG001、25RCKG002、25JRRG027) （24RCKG001、25RCKG002、25JRRG027）
兰州理工大学第四批红柳优秀青年人才计划(062318) （062318）
甘肃省祁连山水源涵养林研究院博士后科研工作站专项(20221231). （20221231）
