Translated title of the contribution: GPU Accelerated simulations of two-dimensional steady incompressible cavity flow

Tung-Chou Hsieh*, Keh-Chia Yeh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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 contributionGPU Accelerated simulations of two-dimensional steady incompressible cavity flow
Original languageChinese (Traditional)
Pages (from-to)97-107
Number of pages11
JournalJournal of the Chinese Institute of Civil and Hydraulic Engineering
Issue number2
StatePublished - 1 Jun 2017


  • CUDA
  • cavity
  • finite difference


Dive into the research topics of 'GPU Accelerated simulations of two-dimensional steady incompressible cavity flow'. Together they form a unique fingerprint.

Cite this