Abstract
We propose general static block and block-cyclic heterogeneous decomposition of multidimensional data over processes of parallel program mapped onto multidimensional process grid. The decomposition is compared with decomposition of two-dimensional data over two-dimensional process grid of Beaumont et al and with natural decomposition of three-dimensional data over three-dimensional process grid.
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CITATION STYLE
Kalinov, A., & Klimov, S. (2004). Multidimensional static block data decomposition for heterogeneous clusters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3019, pp. 907–914). Springer Verlag. https://doi.org/10.1007/978-3-540-24669-5_117
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