GPU Accelerated JavaScript
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Where the GPU for the Web work happens!
ArrayFire: a general purpose GPU library.
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
A .NET library to run C# code in parallel on the GPU through DX12, D2D1, and dynamically generated HLSL compute and pixel shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
- vulkan
- vulkan-compute
- vulkan-example
- vulkan-tutorial
A GPU accelerated image and video processing framework built on Metal.
ILGPU JIT Compiler for high-performance .Net GPU programs
A C++ GPU Computing Library for OpenCL
- opencl
- boost
- c-plus-plus
- cpp
An efficient C++20 GPU numerical computing library with Python-like syntax
stdgpu: Efficient STL-like Data Structures on the GPU
- gpu
- gpu-computing
- gpu-acceleration
- gpgpu
Thin, unified, C++-flavored wrappers for the CUDA APIs
- api-wrapper
- cuda
- cuda-runtime-api
- modern-cpp
Vulkan, OptiX and CUDA Interoperation Modular Rendering Library and Framework for PC/Linux/Android
- vulkan
- raytracing
- graphics-engine
- graphics-library
The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
- aparapi
- gpu
- opencl
- java
Vulkan compute for people
DCompute: Native execution of D on GPUs and other Accelerators
👩💻 Matrix and other math, accelerated by WebGPU and WASM
A modern, high-performance C++17 graphics and compute library based on Vulkan
Adding color to real-time scene reconstruction
- augmented-reality
- ios
- virtual-reality
- gpgpu
WebGPU usage for compute-shaders automation