| Item type |
SIG Technical Reports(1) |
| 公開日 |
2022-07-20 |
| タイトル |
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|
タイトル |
A Parallel-in-Time Method for Compressible Fluid Explicit Simulation |
| タイトル |
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言語 |
en |
|
タイトル |
A Parallel-in-Time Method for Compressible Fluid Explicit Simulation |
| 言語 |
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|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
CFD |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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The University of Tokyo |
| 著者所属 |
|
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The University of Tokyo |
| 著者所属(英) |
|
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en |
|
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The University of Tokyo |
| 著者所属(英) |
|
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|
en |
|
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The University of Tokyo |
| 著者名 |
Yen-Chen, Chen
Kengo, Nakajima
|
| 著者名(英) |
Yen-Chen, Chen
Kengo, Nakajima
|
| 論文抄録 |
|
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内容記述タイプ |
Other |
|
内容記述 |
High-Performance Computing (HPC) methods for time-dependent problems reach an acceleration in space as the problem size grows. This restriction leads to the development of parallel-in-time (PinT) methods. Despite many PinT methods have been introduced, very few PinT methods have been tested with explicit schemes to our best knowledge. This research introduces a PinT method that works with explicit schemes. This research constructs a multi-layer hierarchy in time and space and solves it through coarse to fine layers. The proposed Cascadic Parareal method is optimized based on the number of available cores to improve the efficiency of parallel-in-time solvers with a limited number of processors. The numerical experiment solves for a compressible fluid simulation around a cylinder. The research result shows that the proposed parallel-in-space/time (PinST) method could solve faster than traditional spatial parallelization with less than 100 cores. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
High-Performance Computing (HPC) methods for time-dependent problems reach an acceleration in space as the problem size grows. This restriction leads to the development of parallel-in-time (PinT) methods. Despite many PinT methods have been introduced, very few PinT methods have been tested with explicit schemes to our best knowledge. This research introduces a PinT method that works with explicit schemes. This research constructs a multi-layer hierarchy in time and space and solves it through coarse to fine layers. The proposed Cascadic Parareal method is optimized based on the number of available cores to improve the efficiency of parallel-in-time solvers with a limited number of processors. The numerical experiment solves for a compressible fluid simulation around a cylinder. The research result shows that the proposed parallel-in-space/time (PinST) method could solve faster than traditional spatial parallelization with less than 100 cores. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
|
収録物識別子 |
AN10463942 |
| 書誌情報 |
研究報告ハイパフォーマンスコンピューティング（HPC）
巻 2022-HPC-185,
号 25,
p. 1-7,
発行日 2022-07-20
|
| ISSN |
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収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2188-8841 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
|
出版者 |
情報処理学会 |
IPSJ-HPC22185025.pdf (4.7 MB)
