Combinatorial preconditioning for accelerating the convergence of the parallel block Jacobi method for the symmetric eigenvalue problem
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- Kugaya Masaki
- The University of Electro-Communications
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- Kudo Shuhei
- The University of Electro-Communications
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- Yamamoto Yusaku
- The University of Electro-Communications
抄録
<p> In this paper, we propose combinatorial preconditioning to accelerate the convergence of the parallel block Jacobi method for the symmetric eigenvalue problem. The idea is to gather matrix elements of large modulus near the diagonal prior to each annihilation by permutation of rows and columns and annihilate them at once, thereby leading to large reduction of the off-diagonal norm. Numerical experiments show that the resulting method can actually speedup the convergence and reduce the execution time of the parallel block Jacobi method. </p>
収録刊行物
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- JSIAM Letters
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JSIAM Letters 13 (0), 56-59, 2021
一般社団法人 日本応用数理学会
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詳細情報 詳細情報について
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- CRID
- 1390571007536542464
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- NII論文ID
- 130008092825
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- ISSN
- 18830617
- 18830609
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可