|
|||||
|
|
Implementation of the moving particle semi-implicit method on GPU |
|
| Authors: | ZHU XiaoSong CHENG Liang LU Lin & TENG Bin State Key Laboratory of Coastal Offshore Engineering Dalian University of Technology Dalian China School of Civil Resource Engineering The University of Western Australia Perth WA Australia Centre for Deepwater Engineering Dalian |
| Affiliation: | ZHU XiaoSong1,CHENG Liang2,LU Lin3 & TENG Bin1 1 State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116023,China,2 School of Civil and Resource Engineering,The University of Western Australia,Perth,WA 6009,Australia,3 Centre for Deepwater Engineering,Dalian 116024 |
| Abstract: | The Moving Particle Semi-implicit (MPS) method performs well in simulating violent free surface flow and hence becomes popular in the area of fluid flow simulation. However, the implementations of searching neighbouring particles and solving the large sparse matrix equations (Poisson-type equation) are very time-consuming. In order to utilize the tremendous power of parallel computation of Graphics Processing Units (GPU), this study has developed a GPU-based MPS model employing the Compute Unified Device Ar... |
| Keywords: | moving particle semi-implicit method (MPS) graphics processing units (GPU) compute unified device architecture (CUDA) neighbouring particle searching free surface flow |
| 本文献已被 CNKI 等数据库收录！ | |