Showing 6 open source projects for "python mini project"

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  • 1
    AWS ParallelCluster Node

    AWS ParallelCluster Node

    Python package installed on the Amazon EC2 instances

    aws-parallelcluster-node is the python package installed on the Amazon EC2 instances launched as part of AWS ParallelCluster. AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS.
    Downloads: 0 This Week
    Last Update:
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  • 2
    GGI stands for "General Graphics Interface", and it is a project that aims to develop a reliable, stable and fast graphics system that works everywhere. We want to allow any program using GGI to run on any platform requiring at most a recompile.
    Downloads: 17 This Week
    Last Update:
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  • 3
    PBS Cluster Viz
    PBS Cluster Viz is a project to display information useful to admins and users about a computing cluster managed by a PBS-compatible resource manager. Information includes load and job distribution. Interactive as well as static output is available.
    Downloads: 2 This Week
    Last Update:
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  • 4
    The ZSyncer project allows multiple Zopes to easily be manually synchronized by transferring data between them using xml-rpc. This can save a lot of time over the old export / transfer / import dance. See the home page for more information.
    Downloads: 0 This Week
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  • Desktop and Mobile Device Management Software Icon
    Desktop and Mobile Device Management Software

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  • 5
    UPDATE: Chromium is no longer updated or maintained. The project is frozen. Chromium is a flexible framework for scalable real-time rendering on clusters of workstations, derived from the Stanford WireGL project code base.
    Downloads: 13 This Week
    Last Update:
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  • 6
    The aim of the OpenGrid project is to enable personal high-performance grid computations. More specific, issues of configuration, deployment, controlling and monitoring of embarrassingly parallel computations are addressed.
    Downloads: 0 This Week
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