[en] Lattice-Boltzmann (LB) methods are a well-known technique
in the context of computational fluid dynamics. By nature, they can eas-
ily 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.
Disciplines :
Computer science
Author, co-author :
Dethier, Gérard ; Université de Liège - ULiège > Département de chimie appliquée > Génie chimique - Opérations physiques unitaires
Marchot, Pierre ; Université de Liège - ULiège > Département de chimie appliquée > Génie chimique - Systèmes polyphasiques
de Marneffe, Pierre-Arnoul ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Informatique (ingénierie du logiciel et algorithmique)
Briquet, Cyril ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Informatique (ingénierie du logiciel et algorithmique)
Language :
English
Title :
A Grid-enabled Lattice-Boltzmann-based modelling system
Publication date :
September 2007
Event name :
7th International Conference on Parallel Processing and Applied Mathematics (PPAM 2007)
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Bibliography
Nabrzyski, J., Schopf, J., Weglarz, J.: Grid Resource Management: State of the Art and Future Trends. Kluwer Academic Publishers, Dordrecht (2003)
Foster, I.: What is the Grid? A three point checklist. Grid Today (2002)
Dupuis, A.: From a Lattice Boltzmann model to a parallel and reusable implementation of a virtual river. PhD Thesis, Université de Genève (2002)
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