Open Source Python Distributed Computing Software for BSD

Python Distributed Computing Software for BSD

Browse free open source Python Distributed Computing Software for BSD and projects below. Use the toggles on the left to filter open source Python Distributed Computing Software for BSD by OS, license, language, programming language, and project status.

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  • 1
    java-based complete Agent (Artificial Intelligence) Framework with all the features you might expect in an Agent Framework: Mobility, Autonomy, Distributed communication, Agents can be written in Java, Jython, or Beanshell.
    Downloads: 0 This Week
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  • 2
    Infinispan

    Infinispan

    High performance distributed in-memory key/value store

    Infinispan is an open source, Java based data grid platform. ***IMPORTANT*** Starting with Infinispan 5.0.0.FINAL, Infinispan releases are no longer hosted in Sourceforge. They can now be located in www.jboss.org/infinispan/downloads
    Downloads: 0 This Week
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  • 3
    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: 0 This Week
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  • 4
    Momoko is a framework for developing distributed, multi-user, network-aware applications. It includes facilities for storing objects in a tree structure, a shell for manipulating the object database, orthogonal persistence, scripting support, and a trans
    Downloads: 0 This Week
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  • 5
    The purpose of this program is to prove that given a finite number of Monkeys and a finite amount of time one monkey will be able to make more money off the stock market than any human being. Checkout our web site for an uncorrupted download.
    Downloads: 0 This Week
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  • 6
    XtreemOS project aims at building a Linux-based operating system to support virtual organizations for next generation Grids.
    Downloads: 0 This Week
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  • 7
    Zeus Grid is a Grid Computing environment usefull to run systems in heterogenous machines at same time. In this first step, it will only compile, run and collect application results and file storage.
    Downloads: 0 This Week
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