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Parallelizing flood models with MPI: Approaches and experiences

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3036 425-428
DOI: 10.1007/978-3-540-24685-5_57
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Abstract

Parallelizing large sequential programs is known as a challenging problem. This paper focuses on problems encountered during parallelization process of different flood models and on the approaches used for solving them. The approaches are focused on reducing development time, which can help programmers make a parallel version of existing sequential programs within a short time. © Springer-Verlag 2004.

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Tran, V. D., & Hluchy, L. (2004). Parallelizing flood models with MPI: Approaches and experiences. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3036, 425–428. https://doi.org/10.1007/978-3-540-24685-5_57

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