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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References
Beaumont, O., Boudet, V., Petitet, A., Rastello, F., Robert, Y.: A Proposal for a Heterogeneous Cluster ScaLAPACK (Dense Linear Solvers). IEEE Trans. Computers. 50(10), 1052–1070 (2001)
Dovolnov, Y., Kalinov, A., Klimov, S.: Natural Block Data Decomposition for Heterogeneous Clusters. In: Proceedings of HCW 2003, April 22, 2003, IEEE CS Press, Nice (2003)
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Kalinov, A., Klimov, S. (2004). Multidimensional Static Block Data Decomposition for Heterogeneous Clusters. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_117
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DOI: https://doi.org/10.1007/978-3-540-24669-5_117
Publisher Name: Springer, Berlin, Heidelberg
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