城市雨洪过程模拟GPU加速计算效率研究

龚佳辉; 侯精明; 薛阳; 张大伟; 张兆安; 杨少雄; 韩浩

doi:10.13205/j.hjgc.202004029

城市雨洪过程模拟GPU加速计算效率研究

doi: 10.13205/j.hjgc.202004029

1. 西安理工大学省部共建西北旱区生态水利国家重点实验室, 西安 710048;
2. 中国电建集团华东勘测设计研究院有限公司, 杭州 311122;
3. 中国水利水电科学研究院防洪减灾研究所, 北京 100038

基金项目:

国家自然科学基金项目（51609199）；陕西省水利科技项目（2017slkj-14）；中国水科院基本科研业务费项目（JZ0145B772017）。

详细信息

作者简介:
龚佳辉(1997-),男,硕士研究生,主要研究方向为高性能数值模拟。2190420063@stu.xaut.edu.cn

通讯作者:
侯精明(1982-),男,博士,教授,主要研究方向为城市水利。jingming.hou@xaut.edu.cn

计量
- 文章访问数: 95
- HTML全文浏览量: 15
- PDF下载量: 7
- 被引次数: 0
出版历程
- 收稿日期: 2020-01-17

COMPUTATIONAL EFFICIENCY OF GPU ACCELERATION IN NUMERICAL SIMULATION OF URBAN RAIN-FLOOD PROCESS

1. State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi'an University of Technology, Xi'an 710048, China;
2. POWERCHINA Huadong Engineering Corporation Limited, Hangzhou 311122, China;
3. China Institute of Water Resources and Hydropower Research, Beijing 100038, China

摘要

摘要: 为量化分析GPU加速技术在城市雨洪过程模拟计算中效率提升效果，采用基于GPU技术的数值模型，对不同降雨及网格分辨率情形下的典型城市雨洪过程进行模拟，并对比分析GPU加速计算效率及其规律。结果表明：城市雨洪过程模拟中，GPU加速技术较CPU技术具有优势，不同情形下可提速23.88~158.72倍；在大暴雨和高分辨率网格条件下，GPU模型的提速效果更加明显，相较于短重现期降雨及低分辨率网格情形提升0.29%~8.43%，表明该技术适用于大范围高分辨率问题的模拟。该成果可为城市洪涝过程快速模拟预报提供技术支持。
- GPU /
- 城市雨洪过程 /
- 网格数 /
- 计算效率
Abstract: In order to quantitatively analyze the computational efficiency of GPU technology for urban rain-flood process numerical simulation, the numerical model based on GPU technology was used to simulate the process of rain and flood in typical cities with different rainfall and grid resolution, and to compare and analyze the efficiency and law of GPU acceleration. The results showed that GPU technology had more advantages than CPU for the simulation of rain-flood process in cities, which could increase the computational efficiency by 23.88~158.72 times, compared with CPU in different situations. In the case of heavy rainstorms and high-resolution grids, the speed-up effect of the GPU model was more obvious, and it kept about 0.29%~8.43% higher than the short return period rainstorms and low-resolution grids conditions. And this technology was proved suitable for simulation of large-scale and high-resolution problems. The model was thus considered as a technical support for rapid simulation forecasting of floods processes.
- GPU /
- urban rain-flood process /
- grid numbers /
- computational efficiency

HTML全文

参考文献(22)

周蕾, 吴先华, 吉中会. 考虑恢复力的洪涝灾害损失评估研究进展[J]. 自然灾害学报, 2017, 26(2):11-21.

CRED. EM-DAT, The International Disaster Database[EB/OL]. 2018.http://emdat.be/emdat_db/.

姜仁贵, 韩浩, 解建仓, 等. 变化环境下城市暴雨洪涝研究进展[J]. 水资源与水工程学报, 2016, 27(3):11-17.

王志力, 耿艳芬, 金生. 具有复杂计算域和地形的二维浅水流动数值模拟[J]. 水利学报, 2005,36(4):439-444.

苑希民, 田福昌, 王丽娜. 漫溃堤洪水联算全二维水动力模型及应用[J]. 水科学进展, 2015, 26(1):83-90.

NEAL J C, FEWTRELL T J, BATES P D, et al. A comparison of three parallelisation methods for 2D flood inundation models[J]. Environmental Modelling & Software, 2010, 25(4):398-411.

SHARMA A K, LOCKE B R, FINNEY W C. A preliminary study of pulsed streamer corona discharge for the degradation of phenolin aqueous solutions[J]. Hazardous Waste and Hazardous Material,1993,10(2):209-219.

LACASTA A, MORALES-HERNáNDEZ, M, MURILLO J, et al. An optimized GPU implementation of a 2D free surface simulation model on unstructured meshes[J]. Advances in Engineering Software, 2014, 78:1-15.

赵旭东, 赵杨, 孙家文, 等. 基于GPU加速的潮流模型及其在岛群二维水动力数值模拟中的应用[J]. 海洋环境科学, 2017, 36(5):781-790.

LIANG Q H, SMITH L S. A high-performance integrated hydrodynamic modelling system for urban flood simulations[J]. Journal of Hydroinformatics, 2015, 17(4):518-533.

侯精明, 王润, 李国栋, 等. 基于动力波法的高效高尺度城市雨洪过程数值模型[J]. 水力发电学报, 2018, 37(3):40-49.

李东来, 侯精明, 王新宏, 等. 河床冲淤对洪水演进影响数值模拟研究[J].泥沙研究,2018,43(5):13-20.

侯精明, 李桂伊, 李国栋, 等. 高效高精度水动力模型在洪水演进中的应用研究[J]. 水力发电学报, 2018, 37(2):96-107.

刘菲菲, 侯精明, 郭凯华, 等. 基于全水动力模型的流域雨洪过程数值模拟[J]. 水动力学研究与进展(A辑), 2018, 33(6):778-785.

HOU J M, LIANG Q H, SIMONS F, et al. A stable 2D unstructured shallow flow model for simulations of wetting and drying over rough terrains[J]. Computers & Fluids, 2013, 82(17):132-147.

YU C S, DUAN J. Two-dimensional depth-averaged finite volume model for unsteady turbulent flow[J]. Journal of Hydraulic Research, 2012, 50(6):599-611.

SIVAKUMAR P, HYAMS D G, TAYLOR L K, et al. A primitive-variable Riemann method for solution of the shallow water equations with wetting and drying[J]. Journal of Computational Physics, 2009, 228(19):7452-7472.

HOU J M, LIANG Q H, SIMONS F, et al. A 2D well-balanced shallow flow model for unstructured grids with novel slope source term treatment[J]. Advances in Water Resources, 2013, 52(2):107-131.

LIANG Q H, MARCHE F. Numerical resolution of well-balanced shallow water equations with complex source terms[J]. Advances in Water Resources, 2009, 32(6):873-884.

HUBBARD M E. Multidimensional slope limiters for MUSCL-type finite volume schemes on unstructured grids[J]. Journal of Computational Physics, 1999, 155(1):54-74.

侯精明, 李东来, 王小军, 等. 建筑小区尺度下LID措施前期条件对径流调控效果影响模拟[J]. 水科学进展, 2019, 30(1):45-55.

侯精明, 郭凯华, 王志力, 等. 设计暴雨雨型对城市内涝影响数值模拟[J]. 水科学进展, 2017, 28(6):820-828.

施引文献

资源附件(0)

访问统计