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GREEN SUPERCOMPUTING - CALCULATING TSUNAMI WAVE PROPAGATION

Mikhail Lavrentiev, Konstantin Lysakov, Andrey Marchuk, Konstantin Oblaukhov

First published: 2024-12-15https://doi.org/10.5593/sgem2024v/4.2/s19.41View metrics

Abstract

Nowadays, the use of supercomputing for solving almost any task ranging from industrial to the ecological ones has been increasing. It should be noted that this requires lots of energy, which negatively affects the environment and is costly. However, in a number of cases it is possible to achieve high performance calculations without the use of supercomputers but instead by relying on special processors, focused on a particular class of tasks. While optimizing the computational pipeline for a particular mathematical model, the modern Field Programmable Gates Array (FPGA) platform provides an opportunity to accelerate the numerical solution of a problem by orders of magnitude using a personal computer (PC). This point is here discussed for the case of tsunami modeling. Underwater earthquakes can cause destructive tsunami waves resulting in significant casualties and economic losses. Therefore, after each seismic event, the hypocenter of which is underwater, many supercomputer centers start the modeling process in order to determine the coastal areas where the tsunami wave may cause a loss human life or infrastructure destruction. This certainly requires a lot of energy. The paper shows the possibility of numerical modeling of transoceanic tsunami wave propagation on a grid with a step of 1 geographic minute using a PC platform, which demonstrates significant performance compared to supercomputer calculations. The modeling process (numerical solution of the system of differential equations of shallow water, well describing the process of tsunami wave propagation) takes only a few minutes using a PC with hardware accelerator. Such performance, comparable to the capabilities of a modern computing cluster, is achieved thanks to hardware acceleration - a specialized FPGA-based calculator used as a co-processor. The correctness of the solution is confirmed by comparison with known exact solutions of the system of shallow water equations. The limitation of the proposed method is the size of the random access memory of the device, since high performance is achieved provided that there is no necessity to use the hard disc memory of the computer. The application of the proposed computation technology will allow use -green supercomputing- in many cases.

Publication Impact Profile

Dimensions ID: pub.1186962951

Publication details

Title
GREEN SUPERCOMPUTING - CALCULATING TSUNAMI WAVE PROPAGATION
Authors
Mikhail Lavrentiev, Konstantin Lysakov, Andrey Marchuk, Konstantin Oblaukhov
Proceedings
24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Energy and Clean Technologies, Vol 24, Issue 4.2
Publisher
STEF92 Technology
Year
2024
Pages
293-300
SWS Citekey
Lavrentiev202426293300
ISSN
1314-2704; 13142704
ISBN
9786197603774
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References10
  1. Titov V.V., Gonzalez F.I., Implementation and Testing of the Method of Splitting Tsunami (MOST) Model, NOAA Technical Memorandum ERL PMEL-112; NOAA: Washington, DC, USA, 1997.

  2. Gica E., Spillane M., Titov V., Chamberlin C., Newman J., Development of the Forecast Propagation Database for NOAA�s Short-Term Inundation Forecast for Tsunamis (SIFT), NOAA Technical Memorandum; NOAA: Washington, DC, USA, 2008. accessed on 20 July 2022, from https://nctr.pmel.noaa.gov/Pdf/brochures/sift_Brochure.pdf, 2008.)

  3. Goto C., Ogawa Y., Shuto N., Imamura F., IUGG/IOC TIME Project: Numerical Method of Tsunami Simulation with the Leap-Frog Scheme. Manuals and Guides. Paris, Intergovernmental Oceanographic Commission of UNESCO, No.35, 126 p. 1997.

  4. Yalciner A., Alpar B., Altinok Y., Ozbay I., Imamura F., Tsunamis in the Sea of Mar-mara: Historical Documents for Past, Models for Future. Mar. Geol., vol. 190, pp 445-463, 2002. DOI: 10.1016/s0025-3227(02)00358-4

  5. Zaytsev A., Kurkin A., Pelinovsky E., Yalciner A.C., Numerical Tsunami Model NAMI-DANCE. Science of Tsunami Hazards, vol. 38/issue 4, pp 151-168, 2019.

  6. Stoker J.J., Water waves. The mathematical theory with applications. Interscience publishers: NY, USA, 1957.

  7. MacCormack R.W., Paullay A.J., Computational Efficiency Achieved by Time Splitting of Finite�Difference Operators. AIAA paper, pp 72-154, 1972. DOI: 10.2514/6.1972-154

  8. Lavrentiev M., Lysakov K., Marchuk An., Oblaukhov K., Shadrin M., Fast evaluation of tsunami waves heights around Kamchanka and Kuril Islands, Science of Tsunami Hazards, vol. 38/issue 1, pp 1-13, 2019. DOI: 10.1109/oceanse.2019.8867113

  9. Lavrentiev M., Lysakov K., Marchuk An., Oblaukhov K., Shadrin M., Hardware Acceleration of Tsunami Wave Propagation Modeling in the Southern Part of Japan. Appl. Sci., vol. 10/issue 12, 4159, 2020. DOI: 10.3390/app10124159

  10. Lavrentiev M., Lysakov K, Marchuk An., Oblaukhov K., Fundamentals of Fast Tsunami Wave Parameter Determination Technology for Hazard Mitigation, Sensors, vol. 22, 7630, 2022. DOI: 10.3390/s22197630

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