Showing 4 open source projects for "gpu-g"

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    waifu2x ncnn Vulkan

    waifu2x ncnn Vulkan

    waifu2x converter ncnn version, run fast GPU with vulkan

    ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework.
    Downloads: 1 This Week
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  • 2
    omegalib

    omegalib

    Hybrid visualization framework for desktops, large immersive displays

    A hybrid visualization framework for desktops, large immersive displays and the web. A framework for virtual reality and cluster-driven display systems. Requires Python (the pre-installed 2.7 version on OSX and most linux distros works fine, on Windows omegalib comes with python bundled so you don't need this). C++ Build tools for your platform (g++, clang/XCode, Visual Studio 2012/2013 depending on the OS). On windows, the free Visual Studio editions work fine. Modules are optional components...
    Downloads: 1 This Week
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  • 3
    HIPAcc

    HIPAcc

    Heterogeneous Image Processing Acceleration (HIPACC) Framework

    HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well...
    Downloads: 0 This Week
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  • 4
    CrystalGPU is an execution framework that transparently enables applications to exploit a number of high-level GPU capabilities such as overlapping communication and computation, short lived buffer reuse, and harnessing multi-GPU systems.
    Downloads: 0 This Week
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