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Source channel @githubtrending · Post #15077 · Aug 20

#c_lang#infiniband#iwarp#kernel_rdma_drivers#linux_kernel#rdma#roce#userspace_libraries You can use RDMA Core, a set of Linux userspace libraries and daemons, to work with RDMA devices for high-speed network communication. It supports many kernel drivers and provides tools and libraries like libibverbs and librdmacm to manage RDMA devices and connections. You can build it easily with cmake and install required packages depending on your Linux distribution. Using RDMA Core lets you set up software RDMA interfaces and verify them with commands like `ibv_devices` or `rdma link`. This helps you achieve faster, low-latency data transfer, which is useful for high-performance computing and networking tasks. https://github.com/linux-rdma/rdma-core

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@githubtrending · Post #14856 · 06/23/2025, 12:30 PM

#c_lang SpaghettiKart is an unofficial PC port of Mario Kart 64 that runs smoothly on Windows, Linux, and even Nintendo Switch, offering better performance and online multiplayer, which the original N64 version lacked. You need a legal US ROM in .z64 format to use it, as the game itself doesn’t include any copyrighted assets. It supports custom mods and different graphics backends for better visuals and stability. This means you can enjoy Mario Kart 64 with improved graphics, online play, and modding options on modern devices, making the classic game more accessible and fun today[2][4]. https://github.com/HarbourMasters/SpaghettiKart

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@githubtrending · Post #14843 · 06/19/2025, 01:00 PM

#c_lang ESP-IDF is Espressif's official software framework for developing applications on ESP32 and related chips, supporting Windows, Linux, and macOS. It offers a complete set of tools, libraries, and drivers for Wi-Fi, Bluetooth, and IoT features, enabling you to build connected devices efficiently using C or C++. ESP-IDF supports multiple chip versions with stable releases and ongoing updates, ensuring reliability and production readiness. It includes easy commands for building, flashing, and monitoring your projects, plus example templates to start quickly. Using ESP-IDF helps you create robust, feature-rich IoT applications with strong community and official support. This saves time and effort in development and deployment. https://github.com/espressif/esp-idf

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@githubtrending · Post #14785 · 06/04/2025, 11:30 AM

#c_lang jemalloc is a memory allocator that helps computers manage memory more efficiently. It was first used in FreeBSD in 2005 and is now used in many applications because it reduces memory fragmentation and supports many threads running at the same time. This means it can handle lots of small memory requests without slowing down, making it very useful for demanding applications. The benefit to users is faster and more reliable performance, especially in programs that need to handle a lot of data or run many tasks simultaneously. https://github.com/jemalloc/jemalloc

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@githubtrending · Post #14734 · 05/21/2025, 01:30 PM

#c_lang Windows Subsystem for Linux 2 (WSL2) lets you run Linux on Windows using a lightweight virtual machine. This means you can use Linux tools and apps directly from Windows, which is great for developers. WSL2 is faster and more efficient than its predecessor, WSL1, because it uses a complete Linux kernel. This setup allows for better performance and compatibility with Linux applications. Users can also customize their WSL2 kernel by building it from source, which can be useful for adding specific features or fixing issues. https://github.com/microsoft/WSL2-Linux-Kernel

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@githubtrending · Post #14730 · 05/21/2025, 11:30 AM

#c_lang Kilo is a small text editor that uses less than 1,000 lines of code. It is simple to use and doesn't need any extra libraries. You can save files with **CTRL-S**, quit with **CTRL-Q**, and search for words with **CTRL-F**. Kilo is a good starting point for making more advanced text editors or command-line interfaces. It's free to use and modify under the BSD 2 clause license. This makes it easy for users to learn from and build upon, helping them create their own tools. https://github.com/antirez/kilo

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@githubtrending · Post #14719 · 05/19/2025, 12:00 AM

#c_lang Using the Flipper Zero can be very helpful for people interested in cybersecurity and technology. It's a tool that helps with physical penetration testing and software-defined radio. You can find useful resources like infrared codes, tutorials, and guides on GitHub and other platforms. There are also communities like Discord and forums where you can get help and learn more about the device. This helps users learn and improve their skills in a fun and interactive way. https://github.com/UberGuidoZ/Flipper

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@githubtrending · Post #14670 · 05/04/2025, 11:30 AM

#c_lang Klipper is a special software for 3D printers that uses a computer to help the printer work better. It makes prints faster and more precise by controlling the printer's movements very accurately. This means you get better quality prints with less vibration and fewer mistakes. Klipper also helps reduce issues like nozzle oozing, which can ruin prints. It's free and easy to set up, making it a great choice for anyone looking to improve their 3D printing experience. https://github.com/Klipper3d/klipper

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@githubtrending · Post #15609 · 04/10/2026, 11:30 AM

#c_lang#jq jq is a lightweight command-line tool like sed, awk, or grep, but for processing JSON data. It lets you easily slice, filter, map, and transform structured data with zero runtime dependencies. Install via prebuilt binaries from GitHub releases, Docker (e.g., `docker run --rm -i ghcr.io/jqlang/jq:latest < package.json '.version'` to extract version), or build from source. This saves you time handling JSON in scripts, APIs, or files efficiently without heavy software. https://github.com/jqlang/jq

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@githubtrending · Post #14657 · 05/01/2025, 02:30 PM

#c_lang#embedded#filesystem#microcontroller LittleFS is a file system designed for small devices like microcontrollers. It helps keep your data safe even if the power goes off suddenly. This is because it uses a "copy-on-write" system, which means it doesn't overwrite old data until the new data is safely stored. LittleFS also helps extend the life of your storage by spreading out writes across different areas, a process called wear leveling. This makes it very reliable and efficient for devices with limited memory and storage. https://github.com/littlefs-project/littlefs

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@githubtrending · Post #15435 · 01/25/2026, 11:30 AM

#shell#archlinux#baby_sched#cachy#cachy_scheduler#cachyos#cacule_sched#kernel#linux_kernel#performance#performance_tuning CachyOS offers enhanced Linux kernels with schedulers like BORE for gaming, EEVDF for general use, and BMQ, plus variants for security, servers, real-time, and Steam Deck. They include advanced optimizations like LTO, profile-guided compilation, AMD P-State boosts, ZFS/NVIDIA support, and CPU-specific builds (x86-64-v3/v4, Zen4). Easy repo install auto-detects your CPU for top performance. This boosts your system's speed, responsiveness, and efficiency on modern hardware, making gaming, daily tasks, and heavy workloads smoother and faster. https://github.com/CachyOS/linux-cachyos

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@githubtrending · Post #15390 · 01/05/2026, 11:30 AM

#c_lang#drone#esp32#quadcopter ESP-Drone is an open-source project using ESP32 chips to build a simple Wi-Fi drone you control with a phone app or gamepad. It offers stabilize, height-hold, and position-hold modes (with extensions), plus clear code for STEAM education, based on Crazyflie firmware. You benefit by easily making a cheap ($30-50), lightweight drone in 6-8 hours for fun indoor flights, learning electronics like sensors and motors, and customizing with open code—no extra radio needed. https://github.com/espressif/esp-drone

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@githubtrending · Post #14985 · 07/22/2025, 11:30 AM

#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples