Showing 4 open source projects for "parallel computing"

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    MongoDB Atlas runs apps anywhere

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  • PairSoft | AP Automation and Doc Management Icon
    PairSoft | AP Automation and Doc Management

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    HDF5

    HDF5

    Official HDF5® Library Repository

    HDF5 (Hierarchical Data Format v5) is a widely-used data management library and file format for storing large and complex scientific data sets efficiently.
    Downloads: 19 This Week
    Last Update:
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  • 2
    LinDB

    LinDB

    LinDB is a scalable, high performance, high availability database

    LinDB is a scalable, high-performance, high-availability distributed time series database. A single server could easily support more than one million write TPS; With fundamental techniques like efficient compression storage and parallel computing, LinDB delivers highly optimized query performance. The multi-channel replication protocol supports any amount of nodes, and ensures the system's availability. Schema-free multi-dimensional data model with Metric, Tags, and Fields; The LinQL is flexible yet handy for real-time data analytics. Horizontal scalable is made simple by adding more new broker and storage nodes without too much thinking and manual operations. ...
    Downloads: 1 This Week
    Last Update:
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  • 3
    HadoopDB is a hybrid of parallel database and MapReduce technologies. It approaches parallel databases in performance and efficiency, yet still yields the scalability, fault tolerance, and flexibility of MapReduce systems.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...
    Downloads: 0 This Week
    Last Update:
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  • Agentic AI SRE built for Engineering and DevOps teams. Icon
    Agentic AI SRE built for Engineering and DevOps teams.

    No More Time Lost to Troubleshooting

    NeuBird AI's agentic AI SRE delivers autonomous incident resolution, helping team cut MTTR up to 90% and reclaim engineering hours lost to troubleshooting.
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