LBM based flow simulation using GPU computing processor
TL;DR: This paper develops a general purpose Lattice Boltzmann code that runs entirely on a single GPU and shows that simple precision floating point arithmetic is sufficient for LBM computation in comparison to double precision.
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Abstract: Graphics Processing Units (GPUs), originally developed for computer games, now provide computational power for scientific applications. In this paper, we develop a general purpose Lattice Boltzmann code that runs entirely on a single GPU. The results show that: (1) simple precision floating point arithmetic is sufficient for LBM computation in comparison to double precision; (2) the implementation of LBM on GPUs allows us to achieve up to about one billion lattice update per second using single precision floating point; (3) GPUs provide an inexpensive alternative to large clusters for fluid dynamics prediction.
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Citations
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References
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GPU Cluster for High Performance Computing
Zhe Fan,Feng Qiu,Arie E. Kaufman,Suzanne Yoakum-Stover +3 more
- 06 Nov 2004
TL;DR: A parallel flow simulation using the lattice Boltzmann model (LBM) on a GPU cluster and the dispersion of airborne contaminants in the Times Square area of New York City are simulated.
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Lattice Boltzmann Method for 3-D Flows with Curved Boundary
TL;DR: In this article, three athermal 3D LBE models (Q15D3, Q19D3 and Q27D3) are compared in terms of efficiency, accuracy, and robustness.
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