Showing 4 open source projects for "computer-aided software engineering"

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    Elasticsearch Node.js client

    Elasticsearch Node.js client

    Elasticsearch client library for Node.js

    Node.js client for Elasticsearch. The client versioning follows the Elastic Stack versioning, this means that major, minor, and patch releases are done following a precise schedule that often does not coincide with the Node.js release times. Language clients are forward compatible; meaning that clients support communicating with greater or equal minor versions of Elasticsearch. Elasticsearch language clients are only backwards compatible with default distributions and without guarantees...
    Downloads: 15 This Week
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  • 2
    Bat2015

    Bat2015

    Bachelor of Science (Informatik)

    The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores in...
    Downloads: 0 This Week
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  • 3
    Agent.GUI

    Agent.GUI

    The Project moved to github https://github.com/EnFlexIT/AgentWorkbench

    The project has moved to github https://github.com/EnFlexIT/AgentWorkbench Agent.GUI is a simulation framework and toolkit based on the JADE framework. It provides functionalities for time aspects, agent-environment interaction, visualization and load balancing, Furthermore, the included application focuses the usability for end users.
    Downloads: 0 This Week
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  • 4

    Distributed Multithread Apriori (DMTA)

    A parallel implementation using MPI and OpenMP to Apriori algorithm

    DMTA (Distributed Multithreaded Apriori) is a parallel implementation of Apriori algorithm, which exploits the parallelism at the level of threads and processes, seeking to perform load balancing among the cores. Was implemented in C++ language, using the parallelization libraries OpenMP and MPI. The algorithm was generated as a result of a project developed by André Camilo Bolina, under the guidance of teachers Marluce Rodrigues Pereira, Ahmed Ali Abdalla Esmin and Denilson Alves Pereira,...
    Downloads: 0 This Week
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