Look-ahead in the two-sided reduction to compact band forms for symmetric eigenvalue problems and the SVD
We address the reduction to compact band forms, via unitary similarity transformations, for the solution of symmetric eigenvalue problems and the computation of the singular value decomposition (SVD). Concretely, in the first case, we revisit the reduction to symmetric band form, while, for the seco...
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| Published in | Numerical algorithms Vol. 80; no. 2; pp. 635 - 660 |
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| Main Authors | , , , , |
| Format | Journal Article Publication |
| Language | English |
| Published |
New York
Springer US
01.02.2019
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1017-1398 1572-9265 1572-9265 |
| DOI | 10.1007/s11075-018-0500-8 |
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| Abstract | We address the reduction to compact band forms, via unitary similarity transformations, for the solution of symmetric eigenvalue problems and the computation of the singular value decomposition (SVD). Concretely, in the first case, we revisit the reduction to symmetric band form, while, for the second case, we propose a similar alternative, which transforms the original matrix to (unsymmetric) band form, replacing the conventional reduction method that produces a triangular–band output. In both cases, we describe algorithmic variants of the standard Level 3 Basic Linear Algebra Subroutines (BLAS)-based procedures, enhanced with look-ahead, to overcome the performance bottleneck imposed by the panel factorization. Furthermore, our solutions employ an algorithmic block size that differs from the target bandwidth, illustrating the important performance benefits of this decision. Finally, we show that our alternative compact band form for the SVD is key to introduce an effective look-ahead strategy into the corresponding reduction procedure. |
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| AbstractList | We address the reduction to compact band forms, via unitary similarity transformations, for the solution of symmetric eigenvalue problems and the computation of the singular value decomposition (SVD). Concretely, in the first case, we revisit the reduction to symmetric band form, while, for the second case, we propose a similar alternative, which transforms the original matrix to (unsymmetric) band form, replacing the conventional reduction method that produces a triangular–band output. In both cases, we describe algorithmic variants of the standard Level 3 Basic Linear Algebra Subroutines (BLAS)-based procedures, enhanced with look-ahead, to overcome the performance bottleneck imposed by the panel factorization. Furthermore, our solutions employ an algorithmic block size that differs from the target bandwidth, illustrating the important performance benefits of this decision. Finally, we show that our alternative compact band form for the SVD is key to introduce an effective look-ahead strategy into the corresponding reduction procedure. We address the reduction to compact band forms, via unitary similaritytransformations, for the solution of symmetric eigenvalue problems and the compu-tation of the singular value decomposition (SVD). Concretely, in the first case, werevisit the reduction to symmetric band form, while, for the second case, we pro-pose a similar alternative, which transforms the original matrix to (unsymmetric)band form, replacing the conventional reduction method that produces a triangular–band output. In both cases, we describe algorithmic variants of the standard Level3 Basic Linear Algebra Subroutines (BLAS)-based procedures, enhanced with look-ahead, to overcome the performance bottleneck imposed by the panel factorization. Peer Reviewed |
| Author | Herrero, José R. Rodríguez-Sánchez, Rafael Catalán, Sandra Quintana-Ortí, Enrique S. Tomás, Andrés E. |
| Author_xml | – sequence: 1 givenname: Rafael surname: Rodríguez-Sánchez fullname: Rodríguez-Sánchez, Rafael organization: Departamento Ingeniería y Ciencia de Computadores, Universidad Jaume I – sequence: 2 givenname: Sandra surname: Catalán fullname: Catalán, Sandra organization: Departamento Ingeniería y Ciencia de Computadores, Universidad Jaume I – sequence: 3 givenname: José R. orcidid: 0000-0002-4060-367X surname: Herrero fullname: Herrero, José R. email: josepr@icc.uji.es organization: Departament d’Arquitectura de Computadors, Universitat Politècnica de Catalunya – sequence: 4 givenname: Enrique S. surname: Quintana-Ortí fullname: Quintana-Ortí, Enrique S. organization: Departamento Ingeniería y Ciencia de Computadores, Universidad Jaume I – sequence: 5 givenname: Andrés E. surname: Tomás fullname: Tomás, Andrés E. organization: Departamento Ingeniería y Ciencia de Computadores, Universidad Jaume I |
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| Cites_doi | 10.1145/42288.42291 10.1145/365723.365736 10.1016/j.scico.2014.01.005 10.1145/2491491.2491492 10.1007/s002110050024 10.1145/1527286.1527288 10.1002/cpe.1680 10.1016/j.parco.2008.10.002 10.1016/S0167-8191(99)00041-1 10.1016/j.jcp.2016.01.007 10.1137/110848803 10.1137/S0895479892242232 10.1016/j.jpdc.2015.06.003 10.1145/2755561 10.1145/1186785.1186788 10.1145/77626.79170 10.1137/1.9780898719604 10.1145/2063384.2063394 10.1145/2503210.2503292 10.1109/PDP.2012.54 |
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| Contributor | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
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| Keywords | Look-ahead Symmetric eigenvalue problems Two-sided reduction to compact band form Singular value decomposition |
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| SubjectTerms | Algebra Algebras, Linear Algorithms Bandwidths Computer Science Critical path Decomposition Eigenvalues Informàtica Informàtica teòrica Linear algebra Look-ahead Matrices Matrius (Matemàtica) Numeric Computing Numerical Analysis Original Paper Reduction Singular value decomposition Symmetric eigenvalue problems Theory of Computation Two-sided reduction to compact band form Àlgebra lineal Àrees temàtiques de la UPC |
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| Title | Look-ahead in the two-sided reduction to compact band forms for symmetric eigenvalue problems and the SVD |
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