We propose multisection for the multiple eigenvalues (MME) method for determining the eigenvalues of symmetric tridiagonal matrices. We also propose a method using runtime optimization, and show how to optimize its performance by dynamically selecting the implementation parameters. Performance results using a Hitachi SR8000 super-computer with eight processors per node yield (1) up to 6.3x speedup over a conventional multisection method, and (2) up to 1.47x speedup over a statically optimized MME method. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Katagiri, T., Vömel, C., & Demmel, J. W. (2007). Automatic performance tuning for the multi-section with multiple eigenvalues method for symmetric tridiagonal eigenproblems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4699 LNCS, pp. 938–948). Springer Verlag. https://doi.org/10.1007/978-3-540-75755-9_111
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