Showing 3 open source projects for "computations"

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  • 1

    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: 3 This Week
    Last Update:
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  • 2
    A transparent network messaging system for offloading computations to other possibly more capable machines when they are available. The intended use of the system is for when the results of a computation aren't needed immediately.
    Downloads: 0 This Week
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  • 3
    The aim of the OpenGrid project is to enable personal high-performance grid computations. More specific, issues of configuration, deployment, controlling and monitoring of embarrassingly parallel computations are addressed.
    Downloads: 0 This Week
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