1997 | OriginalPaper | Chapter
Parallel Algorithms for Dense Eigenvalue Problems
Author : Xiaobai Sun
Published in: Workshop on High Performance Computing and Gigabit Local Area Networks
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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Parallel solutions of dense eigenvalue problems have been active research topics since the implementation of the first parallel eigenvalue algorithm in 1971. In this paper we review Jacobi methods and spectral division methods in respective frameworks, introduce the issues arising for high performance implementation on contemporary computers, especially, parallel computers, and address problems that remain open.