5 dépôts
The lifecycle management of loadable kernel modules including compilation, loading, and debugging.
Distinct from Kernel Module Loaders: Existing candidates are too specific (FUSE, Parallel loaders) or too broad (General kernel development).
Explore 5 awesome GitHub repositories matching operating systems & systems programming · Linux Kernel Module Management. Refine with filters or upvote what's useful.
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
Provides a system for compiling, loading, and debugging GPU drivers as Linux kernel modules.
The Linux Kernel Module Programming Guide is an educational resource that teaches how to write, compile, and manage loadable kernel modules for modern Linux kernels. It covers the complete lifecycle of kernel modules, from building and loading to unloading and debugging, with a focus on extending kernel functionality without recompiling the entire kernel. The guide provides comprehensive coverage of core kernel programming concepts including dynamic module loading, file-operation registration, interrupt handling, kernel-user data copying, concurrency control, and deferred task scheduling. It
The primary subject of the guide: writing and testing loadable kernel modules for Linux 5.0+ kernels.
Arpl is a bootloader manager and custom kernel loader for network attached storage devices. It provides a network boot environment to automate the fetching, flashing, and installation of modified operating systems and kernels onto hardware storage. The project distinguishes itself through a remote management suite that exposes bootloader controls via a web browser, secure shell connection, or local terminal. It utilizes RSS feeds to automate the retrieval of the latest system images and version metadata for online updates. The system handles hardware boot configuration by mapping network int
Provides a mechanism to manage the loading and inclusion of specific kernel modules to ensure hardware compatibility.
OpenWrt-Rpi is a firmware builder and embedded Linux build toolset designed to compile custom router operating system images for Raspberry Pi and NanoPi hardware. It utilizes a GitHub Actions CI pipeline to automate the generation of fresh firmware images from the latest source code via daily updates. The project maintains a custom package repository and local software sources for managing community plugins and kernel modules. This infrastructure is used to ensure version consistency and prevent dependency conflicts during the installation of network drivers and system extensions. The build
Manages the lifecycle and version consistency of loadable Linux kernel modules to avoid system conflicts.
Ce projet fournit un environnement de développement du noyau Linux et une suite d'émulation système pour construire et déboguer des modules noyau et de l'assembleur bare-metal à travers de multiples architectures matérielles. Il fonctionne comme un bac à sable complet et un framework pour le développement système bas niveau, utilisant QEMU pour simuler des environnements matériels sans avoir besoin de périphériques physiques. L'environnement intègre des chaînes de compilation croisée utilisant Buildroot et crosstool-NG pour cibler les plateformes x86_64, ARMv7 et ARMv8 depuis un seul hôte. Il dispose d'un framework de débogage noyau spécialisé qui exploite GDB et KGDB pour l'exécution pas à pas et l'inspection d'état des processus noyau et utilisateur. Ses larges capacités incluent des tests de régression automatisés pour isoler les échecs de démarrage et fonctionnels via la bissection de contrôle de version, l'abstraction matérielle pour gérer les états d'alimentation du CPU et les registres système, et des primitives de test bas niveau pour l'intégrité de l'état mémoire et l'analyse d'assembleur. Le système inclut également des utilitaires pour le benchmarking de performance des commandes, la journalisation de sortie et l'amorçage d'espaces de travail conteneurisés.
Enables building and testing low-level kernel modules across multiple hardware architectures using an emulation environment.