{"title":"基于arakawa网格的非流体静力模型模拟表面重力波的并行处理","authors":"Mintho L. P. Siagian, P. H. Gunawan","doi":"10.1109/ICCEREC.2017.8226708","DOIUrl":null,"url":null,"abstract":"The goal of this paper is to measure the parallel performances using OpenMP for surface gravity waves simulation. Here, the non-hydrostatic model is used to describe the fluid flows. The discretization of pressure, horizontal and vertical velocity are given in staggered grids by Arakawa grids. The numerical simulation of gravity waves with wavelength 100 meters is elaborated. The results are shown in two profiles, the surface waves and pressure profile. The two measurements of parallel computing which are speedup and efficiency are presented. The speedup of using parallel by grid sizes 400 × 200 and 8 processors is obtained approximately 5.86 times. Moreover, the efficiency is attained 73.28% using identical grid sizes and processor numbers as speedup.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Parallel processing for simulating surface gravity waves by non-hydrostatic model using arakawa grid\",\"authors\":\"Mintho L. P. Siagian, P. H. Gunawan\",\"doi\":\"10.1109/ICCEREC.2017.8226708\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The goal of this paper is to measure the parallel performances using OpenMP for surface gravity waves simulation. Here, the non-hydrostatic model is used to describe the fluid flows. The discretization of pressure, horizontal and vertical velocity are given in staggered grids by Arakawa grids. The numerical simulation of gravity waves with wavelength 100 meters is elaborated. The results are shown in two profiles, the surface waves and pressure profile. The two measurements of parallel computing which are speedup and efficiency are presented. The speedup of using parallel by grid sizes 400 × 200 and 8 processors is obtained approximately 5.86 times. Moreover, the efficiency is attained 73.28% using identical grid sizes and processor numbers as speedup.\",\"PeriodicalId\":328054,\"journal\":{\"name\":\"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEREC.2017.8226708\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEREC.2017.8226708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel processing for simulating surface gravity waves by non-hydrostatic model using arakawa grid
The goal of this paper is to measure the parallel performances using OpenMP for surface gravity waves simulation. Here, the non-hydrostatic model is used to describe the fluid flows. The discretization of pressure, horizontal and vertical velocity are given in staggered grids by Arakawa grids. The numerical simulation of gravity waves with wavelength 100 meters is elaborated. The results are shown in two profiles, the surface waves and pressure profile. The two measurements of parallel computing which are speedup and efficiency are presented. The speedup of using parallel by grid sizes 400 × 200 and 8 processors is obtained approximately 5.86 times. Moreover, the efficiency is attained 73.28% using identical grid sizes and processor numbers as speedup.