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- W2301087319 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." @default.
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- W2301087319 date "2011-01-01" @default.
- W2301087319 modified "2023-09-25" @default.
- W2301087319 title "DualSPHysics, new GPU computing on SPH models" @default.
- W2301087319 hasPublicationYear "2011" @default.
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