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Recent Advances in Information and Communication Technology 2016 pp 95–103Cite as

Parallel Shallow Water Simulations by Finite Volume Method with CUDA

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 463))

Abstract

This paper presents the approach to estimate the water height and its speed in a dam-break problem using the shallow water equations. The finite volume model is implemented using a CUDA program to run on a GPU. CUDA is a parallel programming model developed by NVIDIA. The results have been tested on the large scale problems, i.e., 48 × 48 and 240 × 240 cells. The results have been shown that the CUDA program can expedite the computational process by 13 times when comparing with the traditional sequential calculations.

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References

  1. Shallow Water Equations, https://www.mathworks.com/moler/exm/chapters/water.pdf

  2. Maleewong, M.: Modified predictor-corrector WAF method for the shallow water equations with source terms. Math. Probl. Eng. 1–17 (2011)

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  3. 2D Wet-Bed Shallow-Water Solver Using Local Time Stepping, http://sanders.eng.uci.edu/matlabcodes.html

  4. NVIDIA CUDA: CUDA C Programming Guide 7.0 (2015)

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  5. Stoker, J.J.: Water Waves The Mathematical Theory With Applications (1957)

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Author information

Authors and Affiliations

  1. Department of Computer Science, Kasetsart University, Bangkok, Thailand

    Kedsararat Khawyuen & Worasait Suwannik

  2. Department of Mathematics, Kasetsart University, Bangkok, Thailand

    Montri Maleewong

Authors
  1. Kedsararat Khawyuen
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  2. Worasait Suwannik
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  3. Montri Maleewong
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Corresponding author

Correspondence to Kedsararat Khawyuen .

Editor information

Editors and Affiliations

  1. Fac of Information Technology, King Mongkut's Uni of Tech North Bangkok, Bangkok, Thailand

    Phayung Meesad

  2. Faculty of Information Technology, King Mongkut's Uni of Teck North Banqkok, Bangkok, Thailand

    Sirapat Boonkrong

  3. Lehrgebiet Kommunikationsnetze, FernUniversität in Hagen, Hagen, Germany

    Herwig Unger

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Khawyuen, K., Suwannik, W., Maleewong, M. (2016). Parallel Shallow Water Simulations by Finite Volume Method with CUDA. In: Meesad, P., Boonkrong, S., Unger, H. (eds) Recent Advances in Information and Communication Technology 2016. Advances in Intelligent Systems and Computing, vol 463. Springer, Cham. https://doi.org/10.1007/978-3-319-40415-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-40415-8_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40414-1

  • Online ISBN: 978-3-319-40415-8

  • eBook Packages: EngineeringEngineering (R0)

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