Showing 6 open source projects for "gpu-g"

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  • 1

    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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  • 2

    fast_count_multi

    Extremely fast NGS read counter

    ... gtf_file bam_file(s) > output Requires bamtools API library at run time, and c++0x for compile. git clone https://github.com/pezmaster31/bamtools cd bamtools mkdir build cd build cmake .. make export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:path to/lib g++ -I bamtools/include/ -L bamtools/lib/ -o fast_count_multi fast_count_multi.cpp -lz -lbamtools -fpermissive -pthread -std=c++0x
    Downloads: 0 This Week
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  • 3

    Precision Time Protocol daemon

    Portable, complete and BSD-licenced IEEE 1588 (PTP) implementation

    The PTP daemon (PTPd) implements the Precision Time protocol (PTP) as defined by the IEEE 1588 standard. PTP was developed to provide very precise time coordination of LAN connected computers. PTPd boasts an advanced set of features and is highly configurable.
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    Downloads: 905 This Week
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  • 4
    Angulo

    Angulo

    Measure angles and distances with device sensors

    Angulo is a small app for Android which allows measuring angles based on the built-in magnetic and gravity sensors. It also includes an activity to measure distances to points focused by the camera, which can be handy for determining sizes of a room or other quick measurements. They are also done using the built-in angle sensors.
    Downloads: 0 This Week
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  • 5
    The CUDA wrapper library provides means for an efficient resource sharing and resource protection on multi-user GPU clusters.It implements the following functionality: 1) Virtualization of the physical GPU devices 2) Ensuring NUMA affinity for GPUs
    Downloads: 0 This Week
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  • 6
    multiDAC is intended to become a user-friendly tool for image- and videoprocessing in the field of deformation/movement analysis. It is written in C# with some C routines using CPU/GPU parallelization (e.g. CUDA) and features a plugin manager.
    Downloads: 0 This Week
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