Showing 11 open source projects for "execute"

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    dispy

    Distributed and Parallel Computing with/for Python.

    dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.
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    Downloads: 0 This Week
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  • 2
    JPPF

    JPPF

    The open source grid computing solution

    JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid.
    Downloads: 0 This Week
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  • 3
    A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
    Downloads: 0 This Week
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  • 4
    Dynamic Task Scheduler

    Dynamic Task Scheduler

    A dynamic task scheduler to execute job chains in a fault-tolerant way

    This project provide an easy to deploy service oriented task-scheduling architecture capable to achieve a fault-tolerant job execution on dynamics networks. The system use: - A robust Job scheduler: Quartz Enterprise scheduler (for more info see http://www.quartz-scheduler.org) - A framework to build reliable dynamic distributed systems: Apache River framework (for more info see http://river.apache.org)
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  • 5
    Let's you synchronize related scheduled jobs, which execute across many different machines. Instead of adding time padding between jobs (which can fail), use this utility. Please feel free to add more functions!
    Downloads: 0 This Week
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  • 6
    User Interface for Sysinternals excellent "psExec". Use it to execute multiple tasks on multiple machines.
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  • 7
    Active Networking provides a framework in which executable code within data packets can execute upon intermediate network nodes. The goal of this research is to develop active networks that are capable of predicting their own behavior and to use this ca
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  • 8
    Generic clustering/load-balancing platform (over a LAN or internet) using java based P2P Aorta workers that execute java "tasklets". Various tasklets can be implemented to solve fractals, process images, render webpages, crack RSA "brute force".
    Downloads: 1 This Week
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  • 9
    A mobile agent framework. Instead of relying on protocols across the wire, send an agent to the server to execute. An example is encryption: send an agent to retrieve data, but let it do the encryption. Client side encryption on the server!
    Downloads: 0 This Week
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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
    Downloads: 0 This Week
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  • 11
    A Simple Open Source Monitor and Manager for Tomcat's Web Applications. SiMonCat allows deploying and undeploying of web applications, and monitoring the state of multiple tomcat servers, through the attempt to execute programmed events.
    Downloads: 0 This Week
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