|
| FTM algorithm based on GPU acceleration |
| Received:April 05, 2016 Revised:August 24, 2016 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201704018 |
| KeyWord:FTM CUDA GPU parallel computing computational fluid dynamics numerical simulation |
| Author | Institution |
| 曾良 |
南昌大学 机电工程学院, 南昌 |
| 杜煜昊 |
南昌大学 机电工程学院, 南昌 |
| 张莹 |
南昌大学 机电工程学院, 南昌 |
| 胡昱 |
南昌大学 机电工程学院, 南昌 |
| 洪瑶 |
南昌大学 机电工程学院, 南昌 |
| 陈虎 |
南昌大学 机电工程学院, 南昌 |
|
| Hits: 1893 |
| Download times: 1432 |
| Abstract: |
| In order to solve the problem of low computational effective of the FTM algorithm,this paper used CUDA to realize the parallel implementation of the FTM algorithm in GPU.Combining with the GPU parallel computing architecture and the characteristics of the FTM algorithm,and through introducing shared memory and bringing thread partition and thread block shared memory boundary elements into use,we proposed a method to implement the grid implementation of the FTM algorithm and a way of processing interface marked point in the GPU.At last,the feasibility and efficiency of FTM in GPU were verified by simulating the free ascending motion of single bubbles in a stationary liquid. |
|
|
|