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A Grid-Enabled Lattice-Boltzmann-Based Modelling System

  • Gérard Dethier
  • Cyril Briquet
  • Pierre Marchot
  • P. A. de Marneffe
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4967)

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.

Keywords

Execution Time Grid Computing Grid Resource Grid Environment Lattice Boltzmann 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Gérard Dethier
    • 1
  • Cyril Briquet
    • 1
  • Pierre Marchot
    • 2
  • P. A. de Marneffe
    • 1
  1. 1.Department of Electrical Engineering and Computer Science 
  2. 2.Department of Chemical EngineeringUniversity of LiègeLiège

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