Projects sharing features with Vulkan Samples

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

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

AISystem is a comprehensive AI full-stack infrastructure project covering the entire pipeline from AI chip architecture to high-level training frameworks. It encompasses the development of AI compiler frameworks, inference engines, and distributed training orchestrators designed to coordinate workloads across a heterogeneous compute stack of CPUs, GPUs, and NPUs. The project focuses on the deep integration of software and hardware, employing software-hardware co-design to align tensor layouts with physical memory structures. It provides specialized capabilities for accelerating Transformer mo

gfx is a hardware-agnostic graphics API abstraction that translates a unified set of graphics and compute commands into native instructions for multiple GPU drivers. It provides a common interface for cross-platform rendering and general-purpose GPU compute programming. The project features an intermediate-representation shader translation system that converts source code and SPIR-V into target-specific languages. It employs a data-driven reference test framework to verify that graphics output remains consistent across different hardware platforms. Capabilities include parallel command buffe

CUDA.jl provides a programming interface for executing custom kernels and performing parallel array computing directly on NVIDIA graphics hardware using the Julia language. It serves as a framework for compiling and scheduling user-defined functions across multiple processing cores, enabling high-performance data processing and task synchronization. The library distinguishes itself through a custom compiler backend that translates high-level language functions into hardware-specific machine code. It manages complex hardware interactions through asynchronous stream scheduling, unified memory m

This project is a collection of reference implementations and technical guides for building high-performance 3D applications and graphics experiments on Windows. It provides a library of samples covering the implementation of GPU compute frameworks, raytracing reference models, and shader optimization techniques. The repository includes specific demonstrations for modeling physical light behavior to create reflections and lighting effects, as well as tools for analyzing memory dumps and tracking real-time execution metrics on graphics hardware. It further provides guidance on managing shader

gpu.cpp is a lightweight C++ library for executing low-level general-purpose GPU computation across different hardware vendors and operating systems. It functions as a portable GPU wrapper, kernel orchestrator, and tensor management system using the WebGPU specification to abstract device initialization, buffer transfers, and compute shader dispatching. The library provides a framework for defining compute kernels from shader code and managing their asynchronous dispatch and synchronization. It enables the execution of cross-platform compute shaders and the orchestration of GPU tasks through

Magnum is a C++ middleware suite for cross-platform graphics development and real-time data visualization. It provides a hardware-agnostic rendering layer that translates graphics commands into platform-specific calls, ensuring consistent behavior across different GPU drivers and APIs such as Vulkan. The project focuses on decoupling application logic from underlying hardware through abstract graphics and system utilities. It features a plugin-based resource importer for 3D assets and audio, a hierarchical scene graph for spatial transformations, and a high-performance signal-based event syst

lsfg-vk is a Vulkan-based frame generation tool and graphics middleware designed to increase perceived frame rates in graphics applications. It implements a lossless scaling algorithm to insert generated frames between rendered ones, increasing motion smoothness without reducing image quality. The project features a dedicated programming interface for integrating frame generation logic into external applications and includes an application profile manager. This manager allows specific generation settings to be assigned to individual executables, automating configuration upon application start

The compute runtime is a software layer that provides unified interfaces for parallel processing, kernel execution, and hardware-specific driver communication. It functions as a driver for OpenCL and OneAPI Level Zero, enabling the execution of data-intensive workloads across diverse graphics hardware architectures. The project distinguishes itself by maintaining consistent performance and compatibility across multiple generations of graphics hardware. It achieves this through a hardware abstraction layer that bridges high-level compute instructions with specific silicon capabilities, alongsi

This project provides a comprehensive technical guide and framework for engineering large-scale machine learning systems. It covers the full lifecycle of model development, focusing on the infrastructure and computational principles required to build, train, and serve generative AI models across distributed GPU clusters. The repository distinguishes itself by offering deep-dive tutorials and implementation strategies for complex system challenges. It emphasizes high-performance architectural primitives, such as collective communication orchestration, distributed tensor sharding, and static gr

This project is a collection of diagnostic tools designed for auditing IP quality, analyzing network stability, profiling server environments, and benchmarking hardware performance. It provides a suite of utilities to evaluate virtual private servers through hardware performance benchmarking and system environment diagnostics. The toolset includes a streaming service unlock checker to determine regional content access, an IP reputation audit tool for blacklist and geolocation verification, and a network quality analyzer for measuring latency and throughput. It covers broader capability areas

This project is a Linux server benchmarking script written in Bash. It serves as a system for evaluating CPU, disk, and network performance by orchestrating a set of standardized diagnostic tools. The script integrates specialized utilities to measure storage throughput and latency across various block sizes, compute hardware scores for processor performance, and test network upload and download speeds using parallel connections. It is designed to generate comparative hardware reports and evaluate total network capacity across global locations. The tool includes a mechanism for exporting all

react-native-skia is a cross-platform graphics framework that provides a high-performance 2D graphics engine for rendering shapes, paths, and images. It functions as a vector graphics engine and UI animation toolkit, allowing for hardware-accelerated visuals across mobile and web platforms. The project is distinguished by its integration of the Skia 2D graphics library, enabling a shader and filter pipeline for complex pixel-level effects. It supports the rendering of Lottie animations exported from After Effects and the execution of animations directly on the UI thread to maintain fluid moti

AdrenoToolsDrivers is a collection of compiled graphics drivers and hardware accelerators for Adreno GPUs. These driver binaries enable hardware acceleration for virtualized Android devices, allowing emulators to leverage the native GPU hardware of compatible devices to improve visual rendering performance and stability. The project focuses on Android emulator optimization by providing compatible drivers for software such as Yuzu and Vita3K. By managing and configuring these specific GPU drivers, the project aims to improve frame rates and overall stability for emulated applications on Androi

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

This project is a cross-platform graphics wrapper and translation layer that implements the OpenGL ES and EGL specifications. It functions as a graphics API bridge, mapping OpenGL ES calls and WebGL content to platform-specific hardware APIs such as Vulkan and Metal to ensure consistent rendering across different operating systems. The system features a shader translation service that validates shading language code and transpiles it into multiple target languages, including HLSL, SPIR-V, and Metal SL. It employs a pluggable backend architecture to select the appropriate hardware rendering AP

rust-cuda is a GPU programming framework and device compiler that allows for the development and execution of high-performance kernels on NVIDIA hardware using Rust. It provides a driver wrapper to manage device memory allocation and kernel launching, effectively serving as a system for writing GPU compute logic without relying on C++. The project includes a compute library with hardware-optimized primitives for neural network acceleration and hardware-accelerated raytracing. It utilizes a compilation toolchain that translates source code into a low-level intermediate representation for execu

Simpl is an HTML, CSS, and JavaScript example library that provides a collection of minimal functional demonstrations of core web technologies and native browser APIs. It serves as a reference implementation and pattern gallery for frontend development, offering practical examples of how to implement common web features. The project showcases a wide range of browser capabilities, including real-time web communication via WebSockets and WebRTC, responsive web design techniques for adaptive layouts, and the implementation of offline workflows using service workers. It also provides demonstratio

KasmVNC is a web-based VNC server and remote access solution that provides a secure gateway for accessing remote desktop environments through a web browser. It implements the Remote Frame Buffer protocol to transmit pixel data and serves as a secure remote access gateway with integrated user auditing and input controls. The project distinguishes itself through extensive hardware acceleration, using GPU-accelerated frame capture and graphics acceleration to support graphics-intensive tasks with low latency. It employs a multi-threaded compression pipeline and dynamic encoding negotiation to ma

Neural Enhance is a deep learning image upscaler and restoration tool designed to increase image resolution and remove blur. It functions as a neural image restoration utility for eliminating noise and JPEG artifacts, and includes a framework for training and tuning custom neural network models against image datasets. The system utilizes a containerized environment to offload tensor calculations to GPU cores, speeding up neural network inference. It features a batch processing pipeline that queues multiple image files in sequence to maximize hardware throughput. Capabilities include domain-s

Xilem is a native user interface framework for the Rust programming language. It provides a reactive view tree that links application state to the interface to automate updates when data changes. The framework incorporates a GPU-accelerated 2D graphics engine and a dedicated text layout engine to handle complex typography and high-performance visual rendering. It is built as an accessible UI framework with integrated support for system accessibility services and screen readers. The system utilizes a retained-mode architecture with a graphics pipeline that translates drawing commands into har

Leif is an OpenGL-backed immediate mode graphical user interface library and graphics rendering framework. It provides a lightweight control flow where layouts and components are rebuilt every frame without retaining an internal scene graph, backed by hardware-accelerated graphics. The framework utilizes GPU-accelerated batch rendering to draw high volumes of primitives efficiently by grouping geometry into single vertex buffers. Developers can bypass standard rendering wrappers to access the underlying renderer directly, drawing raw graphics and custom geometry alongside standard interface c

SmartSub is a cross-platform desktop application for AI-driven video transcription and subtitle generation. It converts audio and video files into text subtitles using local AI models and incorporates hardware acceleration to increase processing speed. The tool features a subtitle translator that leverages large language models, such as OpenAI and DeepSeek, to convert subtitles between different languages. It includes a visual editor for proofreading and polishing transcribed text, paired with a video preview for frame-accurate synchronization. The software supports batch processing of multi

rawdrawandroid is a framework for building Android applications using C and Make. It provides a native development system that compiles source code into standalone executable packages, bypassing the standard Java or Kotlin toolchains and virtual machines. The project features a native UI toolkit for creating hardware-accelerated graphics windows and a dedicated hardware interface for direct communication with USB peripherals and onboard sensors. It utilizes a containerized build environment to ensure consistent compilation and signing of binaries without requiring local toolchain installation

This project is a cross-platform rendering engine and Dart runtime embedder. It functions as a hardware-accelerated graphics engine that composites and paints user interfaces across mobile, desktop, and web targets. The engine utilizes a hardware-accelerated rendering pipeline to drive high-frame-rate animations using GPU APIs such as Vulkan, Metal, and OpenGL. It incorporates an accessibility framework that maps user interface semantics to platform assistive technologies and screen readers. The system provides a platform abstraction layer for managing file and network I/O and incorporates a