Showing 8 open source projects for "linux basic programming"

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  • 1
    SAFMQ: Store and Forward Message Queue, message oriented middleware. Uses include Assured Async Messaging, SOA, Delayed/Batch, and Cluster/Grid Computing. The SAFMQ server provides cross platform communication among C++, PHP, Java, and .NET clients.
    Downloads: 1 This Week
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  • 2
    PARUS

    PARUS

    Dataflow parallel programming language for clusters

    PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it.
    Downloads: 0 This Week
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  • 3
    This Project implements the mergesort algorithm in a MPICH2 (parallel programming -) environment.
    Downloads: 0 This Week
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  • 4
    This project is setup to maintain a set of Javaparty codes. This includes Javaparty benchmarks and applications. Javaparty (http://www.ipd.uka.de/JavaParty/) is a Java extension for easy and efficient parallel programming. It does so by extending the
    Downloads: 0 This Week
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  • 5
    Portlet Streams is intended to be a high-speed java rewrite and proxy mechanism with it's basic roots founded in mod_rewrite and mod_proxy from the Apache foundation.
    Downloads: 0 This Week
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  • 6
    Utilize Java to create an application capable of massivly parallel operations. Application will be targeted as a Napster Clone, with the additional capability of downloading projects which are seeking computer time.
    Downloads: 0 This Week
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  • 7
    WebOS is an application framework built with Jini services exposed as JMX Managed Beans (MBeans for short). It provides ease of configuration, ease of administration, ease of programming and improved performances.
    Downloads: 0 This Week
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  • 8
    MassiveJava is a Java-based environment for parallel programming. Lithium is able to execute the parallel application using a cluster or a network of workstations. A user is able to program a parallel application without take in account problem like sche
    Downloads: 0 This Week
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