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- W1556040198 abstract "In Krylov-based iterative methods, the computation of an orthonormal basis of the Krylov space is a key issue in the algorithms because the many scalar products are often a bottleneck in parallel distributed environments. Using GMRES, we present a comparison of four variants of the Gram-Schmidt process on distributed memory machines. Our experiments are carried on an application in astrophysics and on a convection-diffusion example. We show that the iterative classical Gram-Schmidt method overcomes its three competitors in speed and in parallel scalability while keeping robust numerical properties." @default.
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- W1556040198 date "1998-01-01" @default.
- W1556040198 modified "2023-09-23" @default.
- W1556040198 title "On the influence of the orthogonalization scheme on the parallel performance of GMRES" @default.
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- W1556040198 doi "https://doi.org/10.1007/bfb0057927" @default.
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