Showing 6 open source projects for "cuda"

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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: 54 This Week
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  • 2
    GSvit

    GSvit

    Fast FDTD solver with graphics card support

    Fast FDTD solver with graphics card support. Optimized for nanoscale optics - scanning near field optical microscopy, rough surface scattering and solar cells. Uses CUDA environment for graphics card operation.
    Downloads: 3 This Week
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  • 3
    JDFTx

    JDFTx

    Joint Density Functional Theory

    JDFTx is a plane-wave density functional theory code designed for electronic structure theory development. One prominent unique capability is the treatment of solvated electronic systems using joint density functional theory. Please see http://jdftx.org for download and compile instructions, tutorials, documentation and citation information.
    Downloads: 0 This Week
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  • 4

    cphcttoolbox

    Cph CT Toolbox is a selection of Computed Tomography tools

    Copenhagen Computed Tomography Toolbox is a collection of applications and libraries for flexible and efficient CT reconstruction. The toolbox apps generally take a set of projections (X-ray intensity measurements) and filter and back project them in order to recreate the image or volume that the projections represent. The project includes both mostly informative CPU implementations and highly efficient GPU implementations. Regular releases are hosted at the Python Package Index.
    Downloads: 0 This Week
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    Oree
    Oree - Optimum Real-time Estimation of Events of Interaction: real-time reconstruction of photon interaction events in Gamma Cameras. Optionally making use of a CUDA enable GPU, Oree achieves reconstruction of over 1M events/sec.
    Downloads: 0 This Week
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  • 6
    Blit contains a group of highly efficient iterative sparse solvers that can handle multiple right-hand-sides (i.e. block solvers). We will implement BLQMR, BLGMRES and other block algorithms in MATLAB, FORTRAN 90, C/C++, CUDA and OpenCL.
    Downloads: 0 This Week
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