Source Code Transformations Strategies to Load-Balance Grid Applications
نویسندگان
چکیده
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.
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تاریخ انتشار 2002