KhronosGroup/Vulkan-Samples

Frequently asked questions

• gfx-rs/wgpu

  gfx-rs/wgpu

  17,382View on GitHub↗

  This project is a cross-platform graphics and compute framework that provides a unified, hardware-agnostic abstraction layer for rendering and parallel processing. It enables developers to build high-performance applications that execute consistently across diverse operating systems and hardware backends, including Vulkan, Metal, and DirectX. By mapping high-level graphics commands to native APIs, it serves as a portable foundation for both real-time 3D rendering and general-purpose GPU computing. The framework distinguishes itself through a robust architecture that supports both native deskt

  Rustd3d12gpuhacktoberfest

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• bkaradzic/bgfx

  bkaradzic/bgfx

  17,161View on GitHub↗

  bgfx is a cross-platform, graphics rendering abstraction layer designed for high-performance applications. It provides a unified interface that maps high-level rendering commands to native graphics APIs, allowing developers to maintain a single codebase that executes consistently across diverse operating systems and hardware architectures. The library distinguishes itself through a multi-threaded command submission model that decouples rendering logic from the main application thread, effectively minimizing CPU bottlenecks. It utilizes a backend-agnostic command buffer and a deferred resource

  Cd3d11d3d12directx

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• mono/skiasharp

  mono/SkiaSharp

  5,449View on GitHub↗

  SkiaSharp is a cross-platform 2D graphics engine and .NET wrapper for the Skia Graphics Library. It provides a rendering API for drawing shapes, paths, and bitmaps across mobile, desktop, and server environments, functioning as both a raster graphics library and a hardware-accelerated drawing API. The project enables the creation of custom vector drawings and dynamic UI components through precise control over strokes, fills, and mathematical transformations. It also supports programmatic image manipulation, allowing for the loading and modification of pixel arrays. Its capabilities cover bas

  C#androidcross-platformdot-net

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• nvidia/cuda-samples

  NVIDIA/cuda-samples

  9,319View on GitHub↗

  This repository is a collection of reference implementations and programming examples for the CUDA Toolkit. It serves as a GPGPU implementation guide and a parallel computing reference, providing code for using graphics hardware to perform general-purpose calculations and high-performance parallel processing. The project provides specific samples for GPU kernel development and resource management. These include demonstrations of multi-GPU communication, peer-to-peer memory access, and system hardware inspection to coordinate distributed GPU resources. The codebase covers a wide range of capa

  C++cudacuda-driver-apicuda-kernels

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