Showing 4 open source projects for "linux distribution"

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  • 1
    Erlang/OTP

    Erlang/OTP

    Build massively scalable soft real-time systems

    Erlang is a programming language used to build massively scalable soft real-time systems with requirements on high availability. Some of its uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems. It includes its own distributed database, applications to interface...
    Downloads: 19 This Week
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  • 2
    RunMat

    RunMat

    The Fast, Free, Modern MATLAB / Octave code runtime

    RunMat is a free, open-source, MATLAB-compatible runtime designed to execute existing MATLAB/Octave code without license fees or vendor lock-in. The project emphasizes modern performance, describing a V8-inspired runtime architecture with a lightweight installer for Linux, macOS, and Windows. It targets full language grammar and core semantics, aiming to support arrays, indexing idioms, multiple return values, and classdef constructs that many scientific users rely on. The distribution includes one-line install scripts and highlights forthcoming editor integrations (VS Code and IntelliJ plugins) to provide syntax highlighting, IntelliSense, and integrated debugging. ...
    Downloads: 5 This Week
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  • 3
    JetBrains Runtime

    JetBrains Runtime

    Runtime environment based on OpenJDK for running IntelliJ products

    JetBrainsRuntime is the custom Java Runtime Environment (JRE) distribution maintained by JetBrains that enhances the standard OpenJDK to better support JetBrains products and provide a robust, optimized runtime for IDEs like IntelliJ IDEA, Rider, and other tools. It includes performance-tuned garbage collectors, desktop integration fixes, font rendering improvements, enhanced GTK support on Linux, and additional patches not available in stock JDK builds to ensure smoother, more stable behavior for large-scale IDE usage. ...
    Downloads: 1 This Week
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  • 4
    NVIDIA Container Toolkit

    NVIDIA Container Toolkit

    Build and run Docker containers leveraging NVIDIA GPUs

    ...The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines in the ecosystem - Docker, LXC, Podman etc. Follow the User Guide for running GPU containers with these engines. The architecture of the NVIDIA Container Toolkit allows for different container engines in the ecosystem - Docker, LXC, Podman to be supported easily. ...
    Downloads: 6 This Week
    Last Update:
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