Abstract
Lattice Boltzmann method (LBM) has become a powerful tool in modeling and simulating fluid flows for its fully parallelism, easy implementation, and simple code, and thus, LBM is quite suitable for large-scale computation of fluid flows on graphic processing unit (GPU) due to these advantages. In this paper, we implement the LBM algorithm on GPU using CUDA, and simulate 2D cavity flow, 2D flow around a cylinder and 3D cavity flow. The role of memory access optimization and other optimization technologies in programming and the performance of programs are analyzed in detail. The results show that our algorithm gives satisfactory acceleration, and confirm that LBM is very compatible with GPU for large-scale parallel computation.
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