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Simulation of shallow-water systems using graphics processing units

Author

Listed:
  • Lastra, Miguel
  • Mantas, José M.
  • Ureña, Carlos
  • Castro, Manuel J.
  • García-Rodríguez, José A.

Abstract

This paper addresses the speedup of the numerical solution of shallow-water systems in 2D domains by using modern graphics processing units (GPUs). A first order well-balanced finite volume numerical scheme for 2D shallow-water systems is considered. The potential data parallelism of this method is identified and the scheme is efficiently implemented on GPUs for one-layer shallow-water systems. Numerical experiments performed on several GPUs show the high efficiency of the GPU solver in comparison with a highly optimized implementation of a CPU solver.

Suggested Citation

  • Lastra, Miguel & Mantas, José M. & Ureña, Carlos & Castro, Manuel J. & García-Rodríguez, José A., 2009. "Simulation of shallow-water systems using graphics processing units," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(3), pages 598-618.
    • Handle: RePEc:eee:matcom:v:80:y:2009:i:3:p:598-618
    DOI: 10.1016/j.matcom.2009.09.012
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    Cited by:

    1. Ernesto Guerrero Fernández & Manuel Jesús Castro-Díaz & Tomás Morales de Luna, 2020. "A Second-Order Well-Balanced Finite Volume Scheme for the Multilayer Shallow Water Model with Variable Density," Mathematics, MDPI, vol. 8(5), pages 1-42, May.
    2. Lastra, Miguel & Castro Díaz, Manuel J. & Ureña, Carlos & de la Asunción, Marc, 2018. "Efficient multilayer shallow-water simulation system based on GPUs," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 148(C), pages 48-65.
    3. Vyncke, Thomas J. & Thielemans, Steven & Melkebeek, Jan A.A., 2013. "Simulation-based weight factor selection and FPGA prediction core implementation for finite-set model based predictive control of power electronics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 150-166.

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