An efficient aerodynamic design of vehicles is one possibility for the automotive industry to meet the increasingly restrictive emission regulations and also customer requirements regarding fuel economy. CFD methods have become a valuable tool to address such topics. However, todays detailed vehicle simulations require a considerable amount of time and hardware resources. Due to a massively parallel execution of numerical algorithms on GPUs, GPU computing offers significant reduction of turn-around times and has become an powerful alternative to CPU-based systems in the HPC sector. This paper presents recent developments for accelerating the widespread Navier-Stokes-based CFD methods by using a hybrid CPU-GPU approach. In addition, results of a Lattice-Boltzmann method, which has been implemented completely in CUDA for highly efficient computations on GPUs are shown.


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    Titel :

    Accelerated CFD Simulations Using Eulerian and Lagrangian Methods on GPUs


    Beteiligte:


    Erscheinungsdatum :

    2013


    Format / Umfang :

    6 Seiten, 8 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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