The development of graphic processing unit (GPU) originated from processing a great deal of mapping operation in computer games. Nowadays, GPU can apply its strong computing power and bandwidth of storage effectively to science computation by using compute unified device architecture (CUDA). There are a large amount of hydraulic computational problems we will face. For instance, model for watershed inundation, three-dimensional hydraulic model, three-dimensional mobile-bed model etc. The data size abovementioned has reached to TB even to PB, and it yields a rigorous challenge to computing efficiency. This study takes GPU combined with finite difference method to solve two-dimensional steady incompressible cavity flow, and evaluates the beneficial result of numerical simulation accelerated. This study implemented on nVidia parallel programming and computing platform with GTX 480 and 970 graphic cards. The results were compared with traditional serial computing results obtained by Intel ® Core ™ 2 i7-4790. When the aspect ratio is 7 and grid number reaches to 257×1, 793, there are 13~20 times acceleration effect.
|Translated title of the contribution||GPU Accelerated simulations of two-dimensional steady incompressible cavity flow|
|Original language||Chinese (Traditional)|
|Number of pages||11|
|Journal||Journal of the Chinese Institute of Civil and Hydraulic Engineering|
|State||Published - 1 Jun 2017|
- finite difference