Abstract
We present load-balancing strategies to improve the performances of parallel MPI applications running in a Grid environment. We analyze the data distribution constraints found in two scientific codes and propose adapted code transformations to load-balance computations. Experimental results confirm that such source code transformations can improve Grid application performances. © Springer-Verlag Berlin Heidelberg 2002.
Cite
CITATION STYLE
David, R., Genaud, S., Giersch, A., Schwarz, B., & Violard, E. (2002). Source code transformations strategies to load-balance grid applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2536 LNCS, pp. 82–87). Springer Verlag. https://doi.org/10.1007/3-540-36133-2_8
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