A physics-based hydro-geomorphologic simulation utilizing cluster parallel computing

查看全文 作　　者：RAN [1]QiHua;SU [1,2]DanYang;FU [3]XuDong;WANG [1,3]GuangQian

机构地区：[1]Department of Hydraulic Engineering,Zhejiang University;[2]Department of Earth,Ocean and Atmospheric Sciences,University of British Columbia,Vancouver,BC,V6T 1Z4,Canada;[3]State Key Laboratory of Hydroscience and Engineering,Tsinghua University

出　　处：《Science China(Technological Sciences)》索引2013年第56卷第8期,共13页

基　　金：supported by the National Basic Research Program of China ('973' Program) (Grant No. 2011CB409901-1);Zhejiang Provincial Natural Science Foundation of China (Grant No. R5110012);the E-Project of Microsoft Research Asia 摘　　要：To conduct a large-scale hydrologic-response and landform evolution simulation at high resolution,a complex physics-based numerical model,the Integrated Hydrology Model(InHM),was revised utilizing cluster parallel computing.The parallelized InHM(ParInHM) divides the simulated area into multiple catchments based on geomorphologic features,and generates boundary-value problems for each catchment to construct simulation tasks,which are then dispatched to different computers to start the simulation.Landform evolution is considered during simulating and implemention in one framework.The dynamical Longest-Processing-Time(LPT) first scheduling algorithm is applied to job management.In addition,a pause-integratedivide-resume routine method is used to ensure the hydrologic validity during the simulation period.The routine repeats until the entire simulation period is finished.ParInHM has been tested in a computer cluster that uses 16 processors for the calculation,to simulate 100 years' hydrologic-response and soil erosion for the 117-km2 Kaho'olawe Island in the Hawaiian Islands under two different mesh resolutions.The efficiency of ParInHM was evaluated by comparing the performance of the cluster system utilizing different numbers of processors,as well as the performance of non-parallelized system without domain decomposition.The results of this study show that it is feasible to conduct a regional-scale hydrologic-response and sediment transport simulation at high resolution without demanding significant computing resources. 关键词：计算机集群演化模拟水文地貌并行计算物理基础水文响应高分辨率集群系统

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A physics-based hydro-geomorphologic simulation utilizing cluster parallel computing

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