Showing 3 open source projects for "device to device"

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  • 1
    Thrust

    Thrust

    The C++ parallel algorithms library

    Thrust is the C++ parallel algorithms library which inspired the introduction of parallel algorithms to the C++ Standard Library. Thrust's high-level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. It builds on top of established parallel programming frameworks (such as CUDA, TBB, and OpenMP). It also provides a number of general-purpose facilities similar to those found in the C++ Standard Library. The NVIDIA C++...
    Downloads: 0 This Week
    Last Update:
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  • 2
    Kalibr Allan

    Kalibr Allan

    IMU Allan standard deviation charts

    ...This project enables users to compute those values using Allan variance analysis from recorded IMU data. The workflow involves recording IMU measurements with the device stationary, converting ROS bag files into MATLAB-compatible formats, and then running MATLAB scripts to generate Allan deviation plots. These plots are analyzed to determine noise density and random walk parameters for both gyroscopes and accelerometers. The repository also includes example data and plots from real sensors such as the XSENS MTI-G-700, Tango Yellowstone Tablet, and ASL-ETH VI-Sensor, providing reference points for interpretation.
    Downloads: 3 This Week
    Last Update:
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  • 3

    ViennaCL

    Linear algebra and solver library using CUDA, OpenCL, and OpenMP

    ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects.
    Downloads: 13 This Week
    Last Update:
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