Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures

Author:

Bientinesi Paolo,Igual Francisco D.,Kressner Daniel,Quintana-Ortí Enrique S.

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Golub, G.H., Loan, C.F.V.: Matrix Computations, 3rd edn. The Johns Hopkins University Press, Baltimore (1996)

2. Dhillon, S., Parlett, N.: Vomel: The design and implementation of the MRRR algorithm. ACM Trans. Math. Soft. 32(4), 533–560 (2006)

3. Bientinesi, P., Dhillon, I.S., van de Geijn, R.: A parallel eigensolver for dense symmetric matrices based on multiple relatively robust representations. SIAM J. Sci. Comput. 27(1), 43–66 (2005)

4. Bischof, C.H., Lang, B., Sun, X.: Algorithm 807: The SBR Toolbox—software for successive band reduction. ACM Trans. Math. Soft. 26(4), 602–616 (2000)

5. Dongarra, J., Hammarling, S.J., Sorensen, D.C.: Block reduction of matrices to condensed forms for eigenvalue computations. LAPACK Working Note 2, Technical Report MCS-TM-99, Argonne National Laboratory (September 1987)

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