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    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: 2 This Week
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  • 2
    A Message-Passing Interface (MPI) library, allowing a Java application to efficiently run on a distributed, parallel, and high performance architecture. Developed within HPJava project (www.hpjava.org), and maintained by LarKC project (www.larkc.eu)
    2 Reviews
    Downloads: 0 This Week
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  • 3
    SYSTEM FOR DESIGNING AND SIMULATE CONCURRENT AND DISTRIBUTED PROGRAMS IN CLUSTER ARCHITECTURE Provides graphical interface for configuring relationships between cooperating, abstract processes and simulate it in real cluster environment, using MPI.
    Downloads: 0 This Week
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  • 4
    This Project implements the mergesort algorithm in a MPICH2 (parallel programming -) environment.
    Downloads: 0 This Week
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