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Parallel Preconditioners for Solving Nonsymmetric Linear Systems

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Vector and Parallel Processing – VECPAR’98 (VECPAR 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1573))

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Abstract

In this work we present a parallel version of two preconditioners. The first one, is based on a partially decoupled block form of the ILU. We call it Block-ILU(fill,τ,overlap), because it permits the control of both, the block fill and the block overlap. The second one, is based on the SPAI (SParse Approximate Inverse) method. Both methods are analysed and compared to the ILU preconditioner using the Bi-CGSTAB to solve general sparse, nonsymmetric systems. Results have been obtained for different matrices. The preconditioners have been compared in terms of robustness, speedup and time of execution, to determine which is the best one in each situation. These solvers have been implemented for distributed memory multicomputers, making use of the MPI message passing standard library.

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© 1999 Springer-Verlag Berlin Heidelberg

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García-Loureiro, A.J., Pena, T.F., López-González, J.M., Viñas, L.P. (1999). Parallel Preconditioners for Solving Nonsymmetric Linear Systems. In: Hernández, V., Palma, J.M.L.M., Dongarra, J.J. (eds) Vector and Parallel Processing – VECPAR’98. VECPAR 1998. Lecture Notes in Computer Science, vol 1573. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10703040_11

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  • DOI: https://doi.org/10.1007/10703040_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66228-0

  • Online ISBN: 978-3-540-48516-2

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