DualSPHysics, new GPU computing on SPH models

Benedict D. Rogers, T Rung (Editor), C Ulrich (Editor)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The capacity of a single processor is insufficient torun huge 3D simulations with Smoothed ParticleHydrodynamics (SPH) methods. Here we present thedevelopment of a new code named DualSPHysics that can beexecuted either on either Central Processing Units (CPU) oron Graphics Processor Units (GPUs). Thus, the parallelisationapproach using the Compute Unified Device Architecture(CUDA) of nVidia is described. Simulations with more thanone million particles on a single GPU card exhibit speedups ofup to two orders of magnitude over using a single-core CPU.The DualSPHysics code is validated with the experimentaldata corresponding to a dam break flow impacting on anobstacle and the agreement between the numerical andexperimental results is analysed. This new technology makespossible the study of real-life engineering problems at areasonable computational cost such as fluid-structureinteraction.
    Original languageEnglish
    Title of host publicationProc. 6th International SPHERIC Workshop
    EditorsT Rung, C Ulrich
    Pages348-354
    Number of pages7
    Publication statusPublished - 2011
    Event6th International SPHERIC Workshop - TUHH Hamburg
    Duration: 8 Jun 201110 Jun 2011

    Conference

    Conference6th International SPHERIC Workshop
    CityTUHH Hamburg
    Period8/06/1110/06/11

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