Efficient model order reduction of large-scale systems on multi-core platforms
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Otros documentos de la autoría: Ezzatti, Pablo; Quintana-Orti, Enrique S.; Remón Gómez, Alfredo
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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Título
Efficient model order reduction of large-scale systems on multi-core platformsFecha de publicación
2011Editor
SpringerISSN
0302-9743; 1611-3349Cita bibliográfica
Lecture notes in computer science (2011), vol. 6786, 643-653Tipo de documento
info:eu-repo/semantics/articlePalabras clave / Materias
Resumen
We propose an efficient implementation of the Balanced Truncation (BT) method for model order reduction when the state-space matrix is symmetric (positive definite). Most of the computational effort required by this ... [+]
We propose an efficient implementation of the Balanced Truncation (BT) method for model order reduction when the state-space matrix is symmetric (positive definite). Most of the computational effort required by this method is due to the computation of matrix inverses. Two alternatives for the inversion of a symmetric positive definite matrix on multi-core platforms are studied and evaluated, the traditional approach based on the Cholesky factorization and the Gauss-Jordan elimination algorithm. Implementations of both methods have been developed and tested. Numerical experiments show the efficiency attained by the proposed implementations on the target architecture. [-]
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© Springer-Verlag Berlin Heidelberg 2011
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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