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Parallel Lattice Boltzmann Method on CUDA Architecture

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GPU Solutions to Multi-scale Problems in Science and Engineering

Part of the book series: Lecture Notes in Earth System Sciences ((LNESS))

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Abstract

In this article, an implementation of 2D Lattice Boltzmann Method by CUDA is presented. The simulation has been finished by GPU very well, which has the latest core Tesla C1060. From the results, the speedup of simulation on GPU is 30 times more than on a CPU, and the summit speedup is 41 times.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Shanghai University, Shanghai, 200072, China

    Weibing Feng, Wu Zhang, Bing He & Kai Wang

Authors
  1. Weibing Feng
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  2. Wu Zhang
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  3. Bing He
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  4. Kai Wang
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Editor information

Editors and Affiliations

  1. University of Minnesota, Dep. of Earth Sciences and Minnesota, Supercomputing Institute, Pillsbury Hall 23, Minneapolis, 55455, Minnesota, USA

    David A. Yuen

  2. Network Information Center, Comuter Center and Computer, Zhong Guan Cun 4, Beijing, 100190, China, People's Republic

    Long Wang

  3. Supercomputing Center, Zhong Guan Cun 4, Beijing, 100190, China, People's Republic

    Xuebin Chi

  4. , Computer Science, University of Houston, Calhoun Street 4800, Houston, 77204, Texas, USA

    Lennart Johnsson

  5. Inst. Process Engineering (IPE), Chinese Academy of Sciences, Zhongguancun North Second Street 1, Beijing, 100190, China, People's Republic

    Wei Ge

  6. , Laboratory of Computational Geodynamics,, Chinese Academy of Sciences, Yu Quan Lu 19a, Beijing, 100049, China, People's Republic

    Yaolin Shi

Appendix: The kernel Function of Computing Collision

Appendix: The kernel Function of Computing Collision

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Feng, W., Zhang, W., He, B., Wang, K. (2013). Parallel Lattice Boltzmann Method on CUDA Architecture. In: Yuen, D., Wang, L., Chi, X., Johnsson, L., Ge, W., Shi, Y. (eds) GPU Solutions to Multi-scale Problems in Science and Engineering. Lecture Notes in Earth System Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16405-7_35

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