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Showing 11 open source projects for "parallel"

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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.
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  • 2
    GridSim allows modeling and simulation of entities in parallel and distributed computing systems such as users, applications, resources, and resource brokers/schedulers for design and evaluation of scheduling algorithms. http://www.gridbus.org/gridsim
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    Downloads: 3 This Week
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  • 3
    The underlayer is a symmetric decentralized parallel computing and load balancing framework, providing c, perl and java APIs for distributed job management.
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  • 4
    This Project implements the mergesort algorithm in a MPICH2 (parallel programming -) environment.
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  • 5
    Maui Scheduler is an advanced reservation HPC parallel batch scheduler for use with Linux and BSD clusters. Maui provides a complete scientific scheduling solution, supporting running custom parallel and MPI jobs over Myrinet and ethernet.
    Downloads: 19 This Week
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  • 6
    The software provides a means to form a simple Java cluster. It can be also viewed as a parallel computing library in Java. The project is based on the following <a href='http://www-106.ibm.com/developerworks/java/library/j-super.html'>article</a>
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  • 7
    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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  • 8
    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.
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  • 9
    Designed to allow quick setup of powerful NOW-based clusters to run compute-intensive applications. Applications do not have to be designed specially for these clusters to benefit.
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  • 10
    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
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  • 11
    Java Parallel Processing Framework
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