Where the GPU for the Web work happens!

ILGPU JIT Compiler for high-performance .Net GPU programs

Thin, unified, C++-flavored wrappers for the CUDA APIs

OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.

Vulkan compute for people

Graphics Processing Unit (GPU) Architecture Guide

R interface to use GPU's

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.

Metal Guide

Simple experimental async GPGPU framework for Rust

qCUDA: GPGPU Virtualization at a New API Remoting Method with Para-virtualization

CUDA Guide

A compute shader implementation of the OneSweep sorting algorithm.

An interactive 3D visualization featuring a crystal bird geometry with flowfield particle animation, GPGPU computation, and post-processing effects.

WebGPU water simulation handling up to a million particles.

GPU-accelerated atmospheric ice crystal halo simulator

LPGPU2 CodeXL power performance analysis and feedback tool for GPUs

High-performance library for approximate inference on discrete Bayesian networks on GPU and CPU

Learn and understand compute shader operations and control flow.

n-body-simulation performance test suite

Tiny Image Processing in ECMAScript

Small tool for profiling the performance of hardware-accelerated Rust code using OpenCL and CUDA

This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.

GPGPU compute with Ogre using CUDA or OpenCL

.Net GPU compute for the browser and desktop. Write once, run on WebGPU, WebGL, Wasm, CUDA, OpenCL, and CPU

Hardware-accelerated Vector Compute Library for .NET Containing Quality of life improvements and functionality intended for data science, graphical processing and GPGPU.

WebGPU backend for ILGPU, enabling GPU compute in Blazor WebAssembly.

OpenCL based lightweight c++ computing library

GPU optimized implementation of Radix Sort via OpenCL