The paper presents a heterogeneous distribution of computations while solving dense linear algebra problems on heterogeneous networks of computers. The distribution is based on heterogeneous block cyclic distribution which is extension of the traditional homogeneous block cyclic distribution taking into account differences in the processor performances. The mpC language, specially designed for parallel programming heterogeneous networks is briefly introduced. An mpC aplication carring out Cholesky factorization on a heterogeneous network of workstations is used to demonstrate that the heterogeneous distribution have an essential advantage over the traditional homogeneous distribution.
CITATION STYLE
Kalinov, A., & Lastovetsky, A. (1999). Heterogeneous distribution of computations while solving linear algebra problems on networks of heterogeneous computers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1593, pp. 191–200). Springer Verlag. https://doi.org/10.1007/bfb0100580
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