3 dépôts
Awesome GitHub RepositoriesDriver Runtime Integrations
Interfaces that allow applications to directly invoke driver and runtime functions for hardware resource management.
Distinct from Hardware Acceleration Drivers: None of the candidates cover high-level language integration with specific compute driver runtimes like CUDA.
Explore 3 awesome GitHub repositories matching operating systems & systems programming · Driver Runtime Integrations. Refine with filters or upvote what's useful.
Awesome Driver Runtime Integrations GitHub Repositories
Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
- dortania/opencore-install-guide
dortania/OpenCore-Install-Guide
4,212Voir sur GitHubThis project is a comprehensive technical manual for installing macOS on non-Apple x86 hardware using the OpenCore bootloader. It serves as a configuration guide for emulating Apple hardware and patching system firmware to achieve operating system compatibility on PCs. The documentation provides detailed instructions for SMBIOS hardware emulation, including the generation of system identifiers and model profiles. It covers the application of ACPI table patches to enable native power management and the modification of UEFI runtime services to resolve memory map and write protection issues. Th
Adds filesystem and runtime drivers to the bootloader to recognize specific drive types and storage formats.
JavaScript - xiaowenxia/embedded-notes
xiaowenxia/embedded-notes
3,998Voir sur GitHubembedded-notes is a collection of technical study guides and development notes focused on embedded Linux, Linux kernel internals, and C programming. It serves as a reference for embedded systems development and a preparation resource for technical interviews in the field. The project provides detailed documentation on writing device drivers, managing virtual memory, and understanding kernel internals. It also includes guides on IoT network protocols, such as MQTT and TCP/IP, and outlines the architectural details of chip architectures and hardware peripherals. The material covers a broad sur
Maps bootloader source directories to their respective roles in drivers, file systems, and board configurations.
armcdriver - nvidia/cuda-python
NVIDIA/cuda-python
3,170Voir sur GitHubcuda-python provides low-level Python bindings for the CUDA Driver and Runtime APIs. It serves as a programmatic wrapper for controlling device memory, managing hardware toolchains, and orchestrating execution graphs on NVIDIA GPUs, allowing for the compilation and launching of parallel kernels directly from Python. The project enables the development of SIMT kernels and the execution of mathematical algorithms on device memory. It integrates pre-compiled bytecode as custom operators and interfaces with accelerated device libraries to access low-level hardware functions without leaving the la
Provides direct access to CUDA driver and runtime functions for managing hardware resources.
Cython
