Showing 3 open source projects for "concurrent java"

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    Infor M3 ERP

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    Efficiently executing the complex processes of enterprise manufacturers and distributors. Infor M3 is a cloud-based, manufacturing and distribution ERP system that leverages the latest technologies to provide an exceptional user experience and powerful analytics in a multicompany, multicountry, and multisite platform. Infor M3 and related CloudSuite™ industry solutions include industry-leading functionality for the chemical, distribution, equipment, fashion, food and beverage, and industrial manufacturing industries. Staying ahead of the competition means staying agile. Our new capabilities bring improved data-driven insights and streamlined workflows to help you make informed decisions and take quick action.
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  • PeerGFS PEER Software - File Sharing and Collaboration Icon
    PeerGFS PEER Software - File Sharing and Collaboration

    One Solution to Simplify File Management and Orchestration Across Edge, Data Center, and Cloud Storage

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  • 1
    tabtoy

    tabtoy

    High performance tabular data exporter

    High-performance tabular data export tool. Support Xlsx/CSV as mixed input of tabular data. Support JSON/Golang/C#/Java/Lua/binary source, data, and type output. Automatic cell data format checking, accurate to cell errors. Support predefined enumeration can use Chinese enumeration type. Support table splitting, support multi-person collaboration. Support KV configuration table, convenient to use the table as a configuration file. Multi-core concurrent export, cache acceleration, export hundreds of files in seconds. ...
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  • 2
    ...Ramp up, warm up, individual pause timing, concurrent exection of test groups and more.
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  • 3

    Java/C Comparative Benchmarks

    Java and C Comparative Performance Benchmarks

    A collection of software benchmarks developed to compare the performance of Java with C on identical code. No language libraries were used to avoid implementation differences. Some of the benchmarks are also implemented in Python and Scala. There are benchmarks for bit twiddling, numerical computing, data structure manipulation, concurrent computing, callouts to native libraries, and, graphics processing units (GPU) utilization.
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