3 repository-uri
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
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- dortania/opencore-install-guide
dortania/OpenCore-Install-Guide
4,212Vezi pe GitHubAcest proiect este un manual tehnic cuprinzător pentru instalarea macOS pe hardware x86 non-Apple folosind bootloader-ul OpenCore. Servește ca un ghid de configurare pentru emularea hardware-ului Apple și patch-uirea firmware-ului de sistem pentru a obține compatibilitatea sistemului de operare pe PC-uri. Documentația oferă instrucțiuni detaliate pentru emularea hardware SMBIOS, inclusiv generarea identificatorilor de sistem și a profilurilor de model. Acoperă aplicarea patch-urilor pentru tabelele ACPI pentru a activa gestionarea nativă a energiei și modificarea serviciilor de runtime UEFI pentru a rezolva problemele de mapare a memoriei și de protecție la scriere. Resursa detaliază în continuare compatibilitatea hardware pentru componentele de rețea, grafică și audio, precum și gestionarea extensiilor de kernel. Include îndrumări privind configurarea bootloader-ului, crearea de instalatoare bootabile și utilizarea logării verbose și a kiturilor de depanare pentru a diagnostica kernel panic-urile.
Adds filesystem and runtime drivers to the bootloader to recognize specific drive types and storage formats.
JavaScript - xiaowenxia/embedded-notes
xiaowenxia/embedded-notes
3,998Vezi pe 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
3,170Vezi pe 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
