Hardware Acceleration of Tsunami Wave Propagation Modeling in the Southern Part of Japan
In order to speed up the calculation of tsunami wave propagation, the field-programmable gate array (FPGA) microchip is used. This makes it possible to achieve valuable performance gain with a modern regular personal computer. The two half-step MacCormack scheme was used herein for numerical approxi...
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| Format: | Article |
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MDPI AG
2020-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/12/4159 |
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| author | Mikhail Lavrentiev Konstantin Lysakov Andrey Marchuk Konstantin Oblaukhov Mikhail Shadrin |
| author_facet | Mikhail Lavrentiev Konstantin Lysakov Andrey Marchuk Konstantin Oblaukhov Mikhail Shadrin |
| author_sort | Mikhail Lavrentiev |
| collection | DOAJ |
| description | In order to speed up the calculation of tsunami wave propagation, the field-programmable gate array (FPGA) microchip is used. This makes it possible to achieve valuable performance gain with a modern regular personal computer. The two half-step MacCormack scheme was used herein for numerical approximation of the shallow water system. We studied the distribution of tsunami wave maximal heights along the coast of the southern part of Japan. In particular, the dependence of wave maximal heights on the particular tsunami source location was investigated. Synthetic 100 × 200 km sources have realistic parameters corresponding to this region. As observed numerically, only selected parts of the entire coast line are subject to dangerous tsunami wave amplitudes. The particular locations of such areas strongly depend on the location of the tsunami source. However, the extreme tsunami heights in some of those areas can be attributed to local bathymetry. The proposed hardware acceleration to compute tsunami wave propagation can be used for rapid (say, in a few minutes) tsunami wave danger evaluation for a particular village or industrial unit on the coast. |
| first_indexed | 2024-03-10T19:07:28Z |
| format | Article |
| id | doaj.art-d2946229b09647ea8a4226326e19cb40 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T19:07:28Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d2946229b09647ea8a4226326e19cb402023-11-20T04:06:05ZengMDPI AGApplied Sciences2076-34172020-06-011012415910.3390/app10124159Hardware Acceleration of Tsunami Wave Propagation Modeling in the Southern Part of JapanMikhail Lavrentiev0Konstantin Lysakov1Andrey Marchuk2Konstantin Oblaukhov3Mikhail Shadrin4Institute of Automation and Electrometry SB RAS, 630090 Novosibirsk, RussiaInstitute of Automation and Electrometry SB RAS, 630090 Novosibirsk, RussiaInstitute of Automation and Electrometry SB RAS, 630090 Novosibirsk, RussiaInstitute of Automation and Electrometry SB RAS, 630090 Novosibirsk, RussiaInstitute of Automation and Electrometry SB RAS, 630090 Novosibirsk, RussiaIn order to speed up the calculation of tsunami wave propagation, the field-programmable gate array (FPGA) microchip is used. This makes it possible to achieve valuable performance gain with a modern regular personal computer. The two half-step MacCormack scheme was used herein for numerical approximation of the shallow water system. We studied the distribution of tsunami wave maximal heights along the coast of the southern part of Japan. In particular, the dependence of wave maximal heights on the particular tsunami source location was investigated. Synthetic 100 × 200 km sources have realistic parameters corresponding to this region. As observed numerically, only selected parts of the entire coast line are subject to dangerous tsunami wave amplitudes. The particular locations of such areas strongly depend on the location of the tsunami source. However, the extreme tsunami heights in some of those areas can be attributed to local bathymetry. The proposed hardware acceleration to compute tsunami wave propagation can be used for rapid (say, in a few minutes) tsunami wave danger evaluation for a particular village or industrial unit on the coast.https://www.mdpi.com/2076-3417/10/12/4159tsunami wave dangerhardware code accelerationnumerical simulation |
| spellingShingle | Mikhail Lavrentiev Konstantin Lysakov Andrey Marchuk Konstantin Oblaukhov Mikhail Shadrin Hardware Acceleration of Tsunami Wave Propagation Modeling in the Southern Part of Japan Applied Sciences tsunami wave danger hardware code acceleration numerical simulation |
| title | Hardware Acceleration of Tsunami Wave Propagation Modeling in the Southern Part of Japan |
| title_full | Hardware Acceleration of Tsunami Wave Propagation Modeling in the Southern Part of Japan |
| title_fullStr | Hardware Acceleration of Tsunami Wave Propagation Modeling in the Southern Part of Japan |
| title_full_unstemmed | Hardware Acceleration of Tsunami Wave Propagation Modeling in the Southern Part of Japan |
| title_short | Hardware Acceleration of Tsunami Wave Propagation Modeling in the Southern Part of Japan |
| title_sort | hardware acceleration of tsunami wave propagation modeling in the southern part of japan |
| topic | tsunami wave danger hardware code acceleration numerical simulation |
| url | https://www.mdpi.com/2076-3417/10/12/4159 |
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