Showing 60 open source projects for "x-hdl3"

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  • 1
    Recall is a framework for building distributed, fault-tolerant, replicated storage servers.
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  • 2
    scAMOn Clients: Open Source clients of the Scali ScaMon cluster monitoring server
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  • 3
    iXml is an XML Interpreter. The Interpreter runs over the XML. The language itself is modelled in XML. Connect Xml to data, guis, network and control it all. Please read proposal docs. Working implementation available for download less than 100k.
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  • 4
    Queue is a load-balancing system popular in the 2000s that lets users control their remote jobs in an intuitive, transparent and nearly seamless way. Development versions feature job migration with and without kernel support. GNU Queue continues to be downloaded despite being decommissioned by the FSF in favor of the newer GNU Parallel project. Older versions of the code are archived here on Sourceforge and some later versions on GNU Savannah.
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  • 5
    The idea of this project is to create a bootable CD, something like SuSE live eval which can be used to boot any PC (or Mac, hopefully) on a Network and log it onto a cluster. Any help is welcome!
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  • 6
    U4X, pronounced 'eu-phor-ix', is a linux distribution suited for multimedia professionals as well as the at-home amatuers. U4X includes such features as a modified kernel, verbose shell, journaling file system, and clustering capabilities.
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  • 7
    JReplica is a java distributed database replication system developed during a European Research Project in the department of Informatics of University "La Sapienza" of Roma under the supervision of Prof.ssa Catarci, Prof. Santucci and Ing. Curci.
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  • 8
    P-Suite is project for building robust, fast, cluster computing programs. Code is still in pre-alpha stage. Needed developers and home-page makers. Mailto: diazjimenez@ctv.es
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  • 9
    Simple distributed file system on user space, it is designed for Linux and Mac OS X
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  • 10
    CSI PC2 is a project for verification and identification of biometrical information that scales up to tens of millions of entries. Several algorithms are implemented. It includes testbeds, benchmarks and genetic algorithms for optimization.
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