Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems
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- Yano Takahiro
- Department of Computer Science, University of Tsukuba
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- Futamura Yasunori
- Department of Computer Science, University of Tsukuba
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- Imakura Akira
- Department of Computer Science, University of Tsukuba
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- Sakurai Tetsuya
- Department of Computer Science, University of Tsukuba
抄録
<p> Contour-integral based eigensolvers have been proposed for efficiently exploiting the performance of massively parallel computational environments. In the algorithms of these methods, inner linear systems need to be solved and its calculation time becomes the most time-consuming part for large-scale problems. In this paper, we consider applying a contour-integral based method to a large dense problem in conjunction with a block Krylov subspace method as an inner linear solver. Comparison of parallel performance with the contour-integral based method with a direct linear solver and a ScaLAPACK's eigensolver is shown using matrices from a practical application. </p>
収録刊行物
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- JSIAM Letters
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JSIAM Letters 10 (0), 77-80, 2018
一般社団法人 日本応用数理学会
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詳細情報
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- CRID
- 1390001288101741312
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- NII論文ID
- 130007550465
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- ISSN
- 18830617
- 18830609
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- HANDLE
- 2241/00157322
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- 本文言語コード
- en
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