Experiments with Parallel One-Sided and Two-Sided Algorithms for SVD
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A paper reports on testing parallel SVD algorithms for matrices arising from selected scientific and industrial applications. The codes for the SVD are based respectively on the one{sided and the two{ sided Jacobi approach. The matrices come from solving problems of the diffraction process in the crystallography, the diffusion equation in the reactor physics and from the aircraft industry. A parallelization of each of these approaches is described. Results from computational experiments performed on the Paragon machine with 56 processors are presented and discussed.
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