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A Grid-Enabled Lattice-Boltzmann-Based Modelling System

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Parallel Processing and Applied Mathematics (PPAM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4967))

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Abstract

Lattice-Boltzmann (LB) methods are a well-known technique in the context of computational fluid dynamics. By nature, they can easily be parallelized but their adaptation to the Grid environment is not trivial due to hardware heterogeneity (CPU, memory...) in a Grid. A load balancing method to dynamically handle the differences in terms of CPU number and power among the machines of a Grid is presented. The CPU power is dynamically estimated using a benchmark. An estimation method of execution time is also given.

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Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science,  

    Gérard Dethier, Cyril Briquet & P. A. de Marneffe

  2. Department of Chemical Engineering, University of Liège, B-4000, Liège

    Pierre Marchot

Authors
  1. Gérard Dethier
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  2. Cyril Briquet
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  3. Pierre Marchot
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  4. P. A. de Marneffe
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Editor information

Roman Wyrzykowski Jack Dongarra Konrad Karczewski Jerzy Wasniewski

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© 2008 Springer-Verlag Berlin Heidelberg

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Dethier, G., Briquet, C., Marchot, P., de Marneffe, P.A. (2008). A Grid-Enabled Lattice-Boltzmann-Based Modelling System. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2007. Lecture Notes in Computer Science, vol 4967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68111-3_135

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  • DOI: https://doi.org/10.1007/978-3-540-68111-3_135

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68105-2

  • Online ISBN: 978-3-540-68111-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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