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 inNumerical algorithms Vol. 80; no. 2; pp. 635 - 660
Main Authors Rodríguez-Sánchez, Rafael, Catalán, Sandra, Herrero, José R., Quintana-Ortí, Enrique S., Tomás, Andrés E.
Format Journal Article Publication
LanguageEnglish
Published New York Springer US 01.02.2019
Springer Nature B.V
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ISSN1017-1398
1572-9265
1572-9265
DOI10.1007/s11075-018-0500-8

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Summary: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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ISSN:1017-1398
1572-9265
1572-9265
DOI:10.1007/s11075-018-0500-8