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Showing 2 open source projects for "parallel"

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  • InEight is a leader in construction project controls software Icon
    InEight is a leader in construction project controls software

    InEight serves contractors, owners, and engineers in capital construction

    Minimize risks, gain operational efficiency, control project costs, and make confident, informed decisions. InEight software has your back during every stage of construction, from accurate pre-planning to predictable execution and completion. When project teams collaborate effectively, every decision is backed by precise, authoritative insights.
    Learn More
  • Digital business card + lead capture + contact enrichment Icon
    Digital business card + lead capture + contact enrichment

    Your complete in-person marketing platform

    Share digital business cards, capture leads, and enrich validated contact info - at events, in the field, and beyond. Powered by AI and our proprietary data engine, Popl drives growth for companies around the world, turning every handshake into an opportunity.
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    xsd2pgschema

    Relational database replication tool based on XML Schema

    xsd2pgschema is a Java application suite, which converts XML Schema 1.1 (hierarchical data model) to PostgreSQL DDL (relational data model) and supports XML data migration into PostgreSQL based on the XML Schema without defects on information content. It also supports full-text indexing via either Apache Lucene or Sphinx Search utilizing the relational data model. File conversion from XML to CSV, TSV, or JSON is possible as well as mapping XML Schema to JSON Schema. Obtained PostgreSQL...
    1 Review
    Downloads: 8 This Week
    Last Update:
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  • 2
    Extended Memory Semantics (EMS)

    Extended Memory Semantics (EMS)

    Persistent shared object memory and parallelism for Node.js and Python

    EMS makes possible persistent shared memory parallelism between Node.js, Python, and C/C++. Extended Memory Semantics (EMS) unifies synchronization and storage primitives to address several challenges of parallel programming. A modern multi-core server has 16-32 cores and nearly 1TB of memory, equivalent to an entire rack of systems from a few years ago. As a consequence, jobs formerly requiring a Map-Reduce cluster can now be performed entirely in shared memory on a single server without using distributed programming.
    Downloads: 0 This Week
    Last Update:
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