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Showing 1 to 3 of 3 for “"Multi-GPU Computing"”.

  1. OpenMP-CUDA implementation of the moment method and multilevel fast multipole algorithm on multi-GPU computing systems

    … this thesis, the method of moments (MoM) and the multilevel fast multipole algorithm (MLFMA) are implemented for GPU computation based on the hybrid OpenMP-CUDA parallel programming model. The resultant algorithms are called the OpenMP-CUDA-MoM and the OpenMP-CUDA-MLFMA, respectively. Both of the …

    uiuc Repository record for OpenMP-CUDA implementation of the moment method and multilevel fast multipole algorithm on multi-GPU computing systems (opens in a new tab)

  2. Multi-GPU Load Balancing for Simulation and Rendering

    GPU computing can significantly improve performance by taking advantage of massive parallelism of GPUs for data parallel applications. Computation in visualization applications is suitable for parallelization on the GPU, which can improve performance and interactivity in these applications. If used …

    vt Repository record for Multi-GPU Load Balancing for Simulation and Rendering (opens in a new tab)

  3. Argon bubble transport and capture in continuous casting with an external magnetic field using GPU-based large eddy simulations

    … of the molten steel flow. A general purpose multi-GPU Navier-Stokes solver, CUFLOW, is developed. A Coherent-Structure Smagorinsky LES model is implemented to model the turbulent flow. A two-way coupled Lagrangian particle tracking model is added to track the motion of argon bubbles. A …

    uiuc Repository record for Argon bubble transport and capture in continuous casting with an external magnetic field using GPU-based large eddy simulations (opens in a new tab)