个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:Professor
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:水利工程系
学科:港口、海岸及近海工程
办公地点:大连理工大学海洋工程研究所A304
联系方式:辽宁省大连市凌工路2号海岸和近海工程国家重点实验室
电子邮箱:sxliang@dlut.edu.cn
A GPU accelerated finite volume coastal ocean model
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论文类型:期刊论文
发表时间:2017-08-01
发表刊物:JOURNAL OF HYDRODYNAMICS
收录刊物:SCIE、EI、Scopus
卷号:29
期号:4
页面范围:679-690
ISSN号:1001-6058
关键字:Graphic Processor Unit (GPU); 3-D ocean model; unstructured grid; finite volume coastal ocean model (FVCOM)
摘要:With the unstructured grid, the Finite Volume Coastal Ocean Model (FVCOM) is converted from its original FORTRAN code to a Compute Unified Device Architecture (CUDA) C code, and optimized on the Graphic Processor Unit (GPU). The proposed GPU-FVCOM is tested against analytical solutions for two standard cases in a rectangular basin, a tide induced flow and a wind induced circulation. It is then applied to the Ningbo's coastal water area to simulate the tidal motion and analyze the flow field and the vertical tide velocity structure. The simulation results agree with the measured data quite well. The accelerated performance of the proposed 3-D model reaches 30 times of that of a single thread program, and the GPU-FVCOM implemented on a Tesla k20 device is faster than on a workstation with 20 CPU cores, which shows that the GPU-FVCOM is efficient for solving large scale sea area and high resolution engineering problems.