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This paper presents the implementation of a HLLC finite volume solver usingGPU technology for the solution of shallow water problems in two dimensions. Itcompares both CPU and GPU approaches for implementing all the solver's steps.The technology of graphics and central processors is highlighted with aparticular emphasis on the CUDA architecture of NVIDIA. The simple andwell-documented Application Programming Interface (CUDA API) facilitates theuse of the display card workstation as an additional computer unit to thecentral processor. Four professional solutions of the NVIDIA Quadro line aretested. Comparison tests between CPU and GPU are carried out on unstructuredgrids of small sizes (up to 10,000 elements), medium and large sizes (up to10,000,000 elements). For all test cases, the accuracy of results is of thesame order of magnitude for both approaches. Furthermore, the obtained speedgains with the GPU strongly depend on the model of the graphics card, the sizeof the problem and the simulation time.

A GPU-enabled finite volume solver for large shallow water simulations