Showing 4 open source projects for "high performance computing"

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  • 1
    ArrayFire

    ArrayFire

    ArrayFire, a general purpose GPU library

    ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're interested and able to write top performing tensor functions. Together we can fulfill The ArrayFire Mission under an excellent Code of Conduct that promotes a respectful and friendly building experience. ...
    Downloads: 2 This Week
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  • 2
    OpenNN - Open Neural Networks Library

    OpenNN - Open Neural Networks Library

    Machine learning algorithms for advanced analytics

    ...Some typical applications of OpenNN are business intelligence (customer segmentation, churn prevention…), health care (early diagnosis, microarray analysis…) and engineering (performance optimization, predictive maitenance…). OpenNN does not deal with computer vision or natural language processing. The main advantage of OpenNN is its high performance. This library outstands in terms of execution speed and memory allocation. It is constantly optimized and parallelized in order to maximize its efficiency. ...
    Downloads: 4 This Week
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  • 3
    QVision: Computer Vision Library for Qt

    QVision: Computer Vision Library for Qt

    Computer vision and image processing library for Qt.

    This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library,...
    Downloads: 0 This Week
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  • 4

    LBP in multiple platforms

    LBP implementation in multiple computing platforms (ARM,GPU, DSP...)

    ..."Evaluation of real-time LBP computing in multiple architectures," Journal of Real Time Image Processing, 2014
    Downloads: 0 This Week
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