AN EFFICIENT AND ROBUST GPGPU-BASED SHALLOW WATER MODEL
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How to Cite

Mihami, F.- zahra, & Roeber, V. (2020). AN EFFICIENT AND ROBUST GPGPU-BASED SHALLOW WATER MODEL. Coastal Engineering Proceedings, (36v), waves.47. https://doi.org/10.9753/icce.v36v.waves.47

Abstract

We present an efficient and robust numerical model for the solution of the Shallow Water Equations with the objective to develop the numerical foundation for an advanced free surface flow solver. The numerical solution is based on an explicit Finite Volume scheme on a staggered grid to ensure the conservation of mass and momentum across flow discontinuities and wet-dry transitions. This leads to an accurate numerical solution at low computational cost without the need for Riemann solvers. The efficiency of the lean numerical structure is further optimized through a CUDA-GPU implementation.

Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/xMnK_r7Tj1Q
https://doi.org/10.9753/icce.v36v.waves.47
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References

Mihami (2019): GPGPU-based computer code for shallow flows, MS thesis, Univ. Pau & Pays de l’Adour.

Roeber, Cheung, (2012): Boussinesq-type model for energetic breaking waves in fringing reef environments. Coastal Engineering, ELSEVIER, vol. 70: 1–20.

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