SuLingGG/OpenWrt-RpiArchived

This project is an OpenWrt firmware build system and embedded Linux build tool designed to create customized router firmware images for NanoPi hardware. It functions as a network OS customization kit, providing a structured environment for compiling tailored operating system images that integrate specific drivers, packages, and kernel optimizations. The system distinguishes itself through deep hardware and performance tuning, including kernel-space flow offloading for traffic acceleration and symmetric multiprocessing interrupt balancing to prevent single-core processing bottlenecks. It enabl

Actions-OpenWrt is a cloud-based build orchestrator and continuous integration pipeline designed to automate the compilation of custom OpenWrt firmware binaries. It provides a workflow template that uses virtual environments to monitor source repositories, trigger builds upon detecting updates, and deliver the resulting artifacts. The system enables the management of parallel builds across different hardware targets and integrates third-party software packages into the build process. It supports a high degree of customization through shell-scripted logic, configuration file overrides, and the

This project provides a curated collection of OpenWrt plugins and packages, offering a unified ecosystem for extending router functionality. It functions as both a package feed compatible with opkg and apk package managers and a source for custom firmware compilation, integrating directly with the OpenWrt build system through a script-based tool. The repository delivers daily pre-compiled binary packages organized by CPU architecture, enabling direct installation without requiring source compilation. These binaries are served through a globally distributed feed hosted on Cloudflare R2 edge no

This project is an open source Linux GPU kernel driver implemented as a loadable kernel module. It functions as a GPU firmware loader, providing the low-level driver services necessary to enable direct communication between the operating system and graphics processing units. The driver utilizes a dual-module architecture that separates GPL-licensed kernel code from proprietary firmware blobs. This system extracts and links signed binary firmware images into the kernel modules at driver load time. The project provides driver support for Turing-architecture GPUs and all subsequent newer hardwa