Revisiting the Gauss-Huard Algorithm for the Solution of Linear Systems on Graphics Accelerators
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Otros documentos de la autoría: Benner, Peter; Ezzatti, Pablo; Quintana-Orti, Enrique S.; Remón, Alfredo
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Título
Revisiting the Gauss-Huard Algorithm for the Solution of Linear Systems on Graphics AcceleratorsFecha de publicación
2016-04-02Editor
SpringerISBN
978-3-319-32148-6Cita bibliográfica
BENNER, Peter, et al. Revisiting the Gauss-Huard Algorithm for the Solution of Linear Systems on Graphics Accelerators. En International Conference on Parallel Processing and Applied Mathematics. Springer International Publishing, 2015. p. 505-514.Tipo de documento
info:eu-repo/semantics/bookPartVersión de la editorial
http://link.springer.com/chapter/10.1007%2F978-3-319-32149-3_47Palabras clave / Materias
Resumen
In 1979, P. Huard presented an efficient variant of the Gauss-Jordan elimination for the solution of linear systems. In particular, this alternative algorithm exhibits the same computational cost as the traditional ... [+]
In 1979, P. Huard presented an efficient variant of the Gauss-Jordan elimination for the solution of linear systems. In particular, this alternative algorithm exhibits the same computational cost as the traditional LU-based solver, and is considerably cheaper than the Gauss-Jordan algorithm, but there exist no recent high performance implementations of the Gauss-Huard (GH) variant that allow a comparison of these approaches. In this paper we present a reliable GH solver for hybrid platforms equipped with conventional multi-core technology and a graphics processing unit (GPU). The experimental results show that the GH algorithm can beat high performance versions of the LU solver, from tuned libraries for CPU-GPU servers such as MAGMA, for problems of small to moderate scale. [-]
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International Conference on Parallel Processing and Applied Mathematics. Springer International Publishing, 2015Derechos de acceso
© Springer International Publishing Switzerland 2016
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