Showing 4 open source projects for "cuda gpu"

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    Monte Carlo eXtreme (MCX)

    Monte Carlo eXtreme (MCX)

    Physically accurate and validated GPU ray-tracer

    MCX is a GPU-accelerated, general-purpose, physically-accurate and feature-rich 3-D light transport simulator. It is one of the fastest simulators because it can use tens of thousands of GPU threads to simulate photons in parallel.
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    Downloads: 71 This Week
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  • 2
    PMCGPU

    PMCGPU

    Parallel simulators for Membrane Computing on the GPU

    ...The objective of this project (PMCGPU) is to bring together all the researchers working on the development of parallel simulators for P systems, specially those using the GPU (e.g. CUDA, OpenCL, etc). Other parallel platforms are also welcome (multicore and manycore, FPGAs, etc). This project has been initiated by the Research Group on Natural Computing (Department of Computer Science and Artificial Intelligence, University of Seville). PMCGPU was born inside the P-Lingua project, of the same research group. ...
    Downloads: 0 This Week
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  • 3

    Rozkład temperatury w pomieszczeniach

    Symulacja procesów cieplnych zachodzących w pomieszczeniach

    ...Piotr Fiertek Celem projektu jest stworzenie środowiska symulacyjnego dla procesów termicznych zachodzących w pomieszczeniach. Integralną jego częścią jest implementacja algorytmów obliczeniowych na procesorach graficznych GPU przy użyciu standardów CUDA oraz OpenCL. Innymi ważnymi elementami są graficzna wizualizacja wyników z wykorzystaniem biblioteki graficznej OpenGL oraz stworzenie interfejsu użytkownika umożliwiającego zmianę parametrów symulacji.
    Downloads: 0 This Week
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  • 4

    CUDA-SPHERE-FWD-MEEG

    CUDA accelerated spherical model forward solution for EEG/MEG

    CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations. ...
    Downloads: 0 This Week
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