Showing 3 open source projects for "cpu high monitor"

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    FerrumC

    FerrumC

    A reimplementation of the minecraft server in rust

    FerrumC is a re-implementation of a server for the game Minecraft (version 1.21.8) built from scratch in Rust, designed to offer significantly improved performance and memory efficiency compared to vanilla server implementations. By using Rust’s concurrency and safety guarantees, FerrumC runs fully multithreaded, allowing it to utilize all available CPU cores — which helps deliver smoother, low-latency, high-throughput multiplayer experiences. The project aims both at providing a fast, lean server for typical use (friends or small communities) and offering a foundation that could support large-scale servers, mod/plugin systems, and custom server configurations. FerrumC supports importing existing Minecraft worlds, making it easy for users to migrate from standard servers without losing progress. ...
    Downloads: 0 This Week
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  • 2
    Folia

    Folia

    Fork of Paper which adds regionized multithreading

    Folia is an experimental fork of the Paper Minecraft server software designed to improve scalability by introducing region-based multithreading. Traditional Minecraft servers run most game logic on a single main thread, which creates performance bottlenecks when many players are active simultaneously. Folia addresses this limitation by dividing the game world into independent regions composed of nearby chunks and assigning each region its own tick loop. These regions run concurrently on...
    Downloads: 2 This Week
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  • 3
    spark

    spark

    A performance profiler for Minecraft clients, servers, and proxies

    spark is a performance profiling and diagnostic tool designed for Minecraft servers, clients, and proxy software. It helps developers and server administrators analyze performance issues such as lag, high CPU usage, and memory bottlenecks. The plugin collects statistical information about the server’s execution and generates detailed profiling data that can be used to identify inefficient code or problematic plugins. spark includes tools for CPU profiling, memory inspection, and monitoring server health metrics over time. The profiling data is typically visualized through an online viewer that displays call graphs and flame graphs to help users interpret performance results. ...
    Downloads: 0 This Week
    Last Update:
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