GPU computing for shallow water flow simulation based on finite volume schemes

GPU computing for shallow water flow simulation based on finite volume schemes. Díaz, Manuel J., C., Ortega-Acosta, S., de la Asunción, M., Mantas, J. M., & Gallardo, J. Comptes Rendus Mécanique, 339(2):165-184, 2011.
abstract bibtex

This article is a review of the work that we are carrying out to efficiently simulate shallow water flows. In this paper, we focus on the efficient implementation of path-conservative Roe type high-order finite volume schemes to simulate shallow flows that are supposed to be governed by the one-layer or two-layer shallow water systems, formulated under the form of a conservation law with source terms. The implementation of the scheme is carried out on Graphics Processing Units (GPUs), thus achieving a substantial improvement of the speedup with respect to normal CPUs. Finally, some numerical experiments are presented.

@Article{CastroDiaz2011,
  author   = {Castro D{\'i}az, Manuel J. and Ortega-Acosta, Sergio and de la Asunci{\'o}n, Marc and Mantas, Jos{\'e} Miguel and Gallardo, Jos{\'e}-M.},
  journal  = {Comptes Rendus M{\'e}canique},
  title    = {{GPU} computing for shallow water flow simulation based on finite volume schemes},
  year     = {2011},
  number   = {2},
  pages    = {165-184},
  volume   = {339},
  abstract = {This article is a review of the work that we are carrying out to efficiently simulate shallow water flows. In this paper, we focus on the efficient implementation of path-conservative Roe type high-order finite volume schemes to simulate shallow flows that are supposed to be governed by the one-layer or two-layer shallow water systems, formulated under the form of a conservation law with source terms. The implementation of the scheme is carried out on Graphics Processing Units (GPUs), thus achieving a substantial improvement of the speedup with respect to normal CPUs. Finally, some numerical experiments are presented.},
}

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