Acceleration of industrial application of speed-up methods in ultra large_scale domain decomposition computation
| Project/Area Number |
15K04762
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Computational science
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| Research Institution | Japan Women's University |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2017: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | BDD-DIAG前処理 / DIAG前処理 / 静磁場解析 / 熱対流解析 / ＢＤＤ－ＤＩＡＧ前処理 / ＤＩＡＧ前処理 |
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| Outline of Final Research Achievements |
An iterative domain decomposition method is proposed for numerical analysis of 3-Dimensional (3D) linear magnetostatic problems taking the magnetic vector potential as an unknown function. The iterative domain decomposition method is combined with the Preconditioned Conjugate Gradient (PCG) procedure and the Hierarchical Domain Decomposition Method (HDDM) which is adopted in parallel computing. Our previously employed preconditioner was the Neumann-Neumann (NN) preconditioner. Numerical results showed that the method was only effective for smaller problems. In this research, we consider its improvement with the Balancing Domain Decomposition DIAGonal scaling (BDD-DIAG) preconditioner. Specially, the multi-part processing is challenged for the first time though our present success is mainly limited to a single part processing.
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Report
(4 results)
Research Products
(35 results)
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[Journal Article] On the Coarse Matrix Solver of Preconditioners for Magnetostatic Domain Decomposition Analysis2017
Author(s)
Kanayama, H., Ogino, M., Sugimoto, S., Yodo, K., Zheng, H.
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Journal Title
IEEJ Transactions on Power and Energy
Volume: 137
Issue: 3
Pages: 179-185
DOI
NAID
ISSN
0385-4213, 1348-8147
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Book] Large-Scale Tsunami Run-Up Analysis Using Particle Method2015
Author(s)
Kohei Murotani, Seiichi Koshizuka, Eiichi Nagai, Toshimitsu Fujisawa, Akira Anju, Hiroshi Kanayama, Satoshi Tanaka, Kyoko Hasegawa
Total Pages
21
Publisher
本のタイトル： High-Performance Computing for Structural Mechanics and Earthquake/Tsunami Engineering 編集者 S. Yoshimura, M. Hori, M. Ohsaki (editors) 発行元： Springer
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