{"title":"Parallel processing for simulating 2D radial dambreak using FVM HLLE flux on OpenMP","authors":"M. Pahlevi, P. H. Gunawan","doi":"10.1109/ICOICT.2017.8074665","DOIUrl":null,"url":null,"abstract":"This paper presents the simulation of 2D dry-wet radial dambreak cases using shallow water equations on multicore processing. Here, OpenMP for parallel computing is used. The CPU time for parallel programming with N = 800 points is shown almost similar to the the CPU time for serial programming with N = 400. The speedup and efficiency using parallel with 16 processors are obtained 7.8 times for dry simulation, 8.6 times for wet simulation and 50% from the serial respectively. This means the computational cost using parallel reduces 50% from the average of computational cost by a single processor.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOICT.2017.8074665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents the simulation of 2D dry-wet radial dambreak cases using shallow water equations on multicore processing. Here, OpenMP for parallel computing is used. The CPU time for parallel programming with N = 800 points is shown almost similar to the the CPU time for serial programming with N = 400. The speedup and efficiency using parallel with 16 processors are obtained 7.8 times for dry simulation, 8.6 times for wet simulation and 50% from the serial respectively. This means the computational cost using parallel reduces 50% from the average of computational cost by a single processor.