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Introduction Many computational science and engineering problems reduce at the end to either a series of matrix or some form of grid operations, be it through differential, integral or other methods the dimensions of the matrices or grids are often determined by the physical problems Frequently in multiprocessing these matrices or grids are partitioned, or domain-decomposed so that each partition (or subdomain) is assigned to a process One such example is an m x n matrix decomposed into p g x n submatrices with each assigned to be worked on by one of the p processesIntroduction • Many computational science and engineering problems reduce at the end to either a series of matrix or some form of grid operations, be it through differential, integral or other methods. The dimensions of the matrices or grids are often determined by the physical problems. • Frequently in multiprocessing, these matrices or grids are partitioned, or domain-decomposed, so that each partition (or subdomain) is assigned to a process. • One such example is an m x n matrix decomposed into p q x n submatrices with each assigned to be worked on by one of the p processes
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