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Showing 4 open source projects for "image processing framework"

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    dispy

    Distributed and Parallel Computing with/for Python.

    dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.
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    Downloads: 2 This Week
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  • 2
    GPU, a Global Processing Unit

    GPU, a Global Processing Unit

    A framework for distributed computing

    An extensible framework for distributed computing on P2P grids. We support peaceful free and open research and build an internet supercomputer. We render movies, solve Eternity puzzles, predict climate and improve a ~30 GHz cluster of clients.
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    Downloads: 0 This Week
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  • 3
    EPSILON is a powerful Open Source wavelet image compressor. The project is aimed on parallel and robust image processing.
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    Downloads: 34 This Week
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  • 4
    Java Parallel Processing Framework
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