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GPU implementation of Krylov solvers for block-tridiagonal eigenvalue problems

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GPU implementation of Krylov solvers for block-tridiagonal eigenvalue problems

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Lamas Daviña, A.; Román Moltó, JE. (2016). GPU implementation of Krylov solvers for block-tridiagonal eigenvalue problems. En Parallel Processing and Applied Mathematics. Springer. 182-191. doi:10.1007%2F978-3-319-32149-3_18

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Title: GPU implementation of Krylov solvers for block-tridiagonal eigenvalue problems
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
In an eigenvalue problem defined by one or two matrices with block-tridiagonal structure, if only a few eigenpairs are required it is interesting to consider iterative methods based on Krylov subspaces, even if matrix ...[+]
Subjects: GPU computing , Eigenvalue computation , Krylov methods , Block-tridiagonal linear solvers
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-319-32148-6
Source:
Parallel Processing and Applied Mathematics. (issn: 0302-9743 )
DOI: 10.1007%2F978-3-319-32149-3_18
Publisher:
Springer
Publisher version: http://link.springer.com/chapter/10.1007%2F978-3-319-32149-3_18
Conference name: 11th International Conference on Parallel Processing and Applied Mathematics (PPAM 2015)
Conference place: Krakow, Poland
Conference date: September 6-9, 2015
Series: Lecture Notes in Computer Science;9573
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-32149-3_18
Type: Capítulo de libro Comunicación en congreso

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