Showing 7 open source projects for "parallel computing"

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  • 1
    aCompute

    aCompute

    Aims to enable researcher to tap in to mobile computing capability

    This is a software agent based computing program that will enable researchers and other users to tap in computing power of machine available by sharing work load on the fly with zero configuration on network & resources A self organizing agent program that will understand network and its resource. where as the only job left to researcher is to split up jobs in several chunks of programs either parallel or sequential jobs and go issue the job (A visual Modeler or Scripting support need to be yet designed) Software agents will automatically manage the rest or resource management, sharing , cloning of tasks etc. ...
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  • 2
    DKU is an embedded parallel language, or "piggy-back" language that uses function calls to invoke the language's execution model. It tunes task-size to the hardware while hiding hardware details for high performance portability of parallel code.
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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
    SimParEx executes a program(command) on many computers (farm) in parallel and collects the results (task farming). Major features: minimal requirements (TCP, SSH, Perl), flexible task definition, web interface.
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  • 5
    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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  • 6
    Combined Utilities for Beowulf, or "cub," is based on work done at Compaq to integrate some of the best available tools to make it easy to build and install clusters of workstations for parallel computing applications.
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  • 7
    The Herdtools are a set of user-level cluster management and control utilities with a consistent command line interface. These include things like parallel file copy, remote execution, sudo execution, job kill, etc. We utilize Rob Brown's "procstatd" d
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