Showing 11 open source projects for "high performance computing"

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  • 1
    GridLAB-D
    GridLAB-D is a new power system simulation tool that provides valuable information to users who design and operate electric power transmission and distribution systems, and to utilities that wish to take advantage of the latest smart grid technology. It incorporates advanced modeling techniques with high-performance algorithms to deliver the latest in end-use load modeling technology integrated with three-phase unbalanced power flow, and retail market systems. Historically, the inability to effectively model and evaluate smart grid technologies has been a barrier to adoption; GridLAB-D is designed to address this problem. User documentation can be found at: http://gridlab-d.shoutwiki.com/wiki/Quick_links The source code is available from GitHub. ...
    Downloads: 18 This Week
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  • 2
    PeerSim is a simulation environment for P2P protocols in java. Its features include easy configuration, extendability and high performance.
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    Downloads: 0 This Week
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  • 3
    Molecular Simulation Grid

    Molecular Simulation Grid

    Provides high performance computing power and state of the art tools

    MoSGrid focuses on the configuration and provision of Grid services for molecular simulations and annotation of the results with metadata and their provision for data mining and knowledge generation. It is based on Liferay technology togethe with gUSE.
    Downloads: 3 This Week
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  • 4
    JASA allows researchers in agent-based computational economics to write high-performance trading simulations using a number of different auction protocols. The software also provides base classes for implementing simple adaptive trading agents.
    Downloads: 2 This Week
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  • 5
    LARA

    LARA

    Lightweight Architecture for boundedly Rational Agents

    For the purpose of policy simulation in coupled social-ecological systems (e.g. energy supply), a credible modelling of actors – especially citizens – and their decision processes is needed. This requires a framework capable of handling high numbers of heterogeneous agents (several hundreds of thousands). LARA (Lightweight Architecture for boundedly Rational Agents) meets these requirements and fills the gap between frameworks without built-in psychological foundations and full-fledged...
    Downloads: 0 This Week
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  • 6
    Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
    Downloads: 0 This Week
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  • 7
    GridABM is an easy-to-use toolkit to develop high-performance agent-based models (ABMs) in Repast. GridABM facilitates large-scale simulation of ABM on multicore computers, local computing clusters, or computational grids.
    Downloads: 0 This Week
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  • 8
    VT-Layer is a Java library for discrete-event simulation modeling. VT-Layer allows you to create, visualize, and analyze high-performance discrete-event simulations.
    Downloads: 0 This Week
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  • 9
    The CodeTime platform covers every aspect of parallel software from authoring, through distribution, to run-time. Its goals are: high programmer productivity; write once, run high performance anywhere; and wide acceptance.
    Downloads: 0 This Week
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  • 10
    RangeSim is a collection of classes for simulating distributed protocols for range search on P2P (peer-to-peer) network environments. It is based upon the PeerSim simulator, which offers easy configuration, extendability and high performance.
    Downloads: 0 This Week
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  • 11
    videonetwork

    videonetwork

    A simulator for self-organizing video replication and more

    ...The transport path of content is exploited to replicate content and limited storage space is handled by clean-up mechanisms. We implemented a simulator to show the algorithm's performance and to test its behavior under real circumstances. It is easily extendable to support several new scenarios or changes to the algorithm (see replication and client models).
    Downloads: 0 This Week
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