#gpgpu (30 Repositories)
Ranked open-source repositories tagged with #gpgpu, scored by pull request acceptance likelihood and maintainer engagement velocity.
35.2%
21.1h
30 repositories tagged #gpgpu
software-mansion/TypeGPU
A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
NVIDIA/MatX
An efficient C++20 GPU numerical computing library with Python-like syntax
mathiasbourgoin/Sarek
SIMT Abstractions for Runtime Extensible Kernels (GPGPU programing with OCaml)
AdaptiveCpp/AdaptiveCpp
Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
tracel-ai/cubecl
Multi-platform high-performance compute language extension for Rust.
drumih/turbo-fieldfare
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
intel/opencl-intercept-layer
Intercept Layer for Debugging and Analyzing OpenCL Applications
diku-dk/futhark
:boom::computer::boom: A data-parallel functional programming language
Sergio0694/ComputeSharp
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! 🚀
ddemidov/amgcl
C++ library for solving large sparse linear systems with algebraic multigrid method
stotko/stdgpu
stdgpu: Efficient STL-like Data Structures on the GPU
ddemidov/vexcl
VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
gpujs/gpu.js
GPU Accelerated JavaScript
arrayfire/arrayfire
ArrayFire: a general purpose GPU library.
Rust-GPU/rust-cuda
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
aardvark-platform/aardvark.rendering
Aardvark.Rendering is a high-performance, dependency-aware rendering engine. It is part of the open-source Aardvark Platform for visual computing, real-time graphics, and visualization.
schell/renderling
GPU driven real-time renderer, backed by wgpu and rust-gpu
Speedstu/CUDA-for-AMD-Windows
Run CUDA-targeted Windows applications on AMD GPUs with ZLUDA + ROCm/HIP.
ProjectPhysX/OpenCL-Benchmark
A small OpenCL benchmark program to measure peak GPU/CPU performance.
intel/compute-runtime
Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver
AlexanderVeselov/RayTracing
Realtime GPU path tracer based on D3D12 and Vulkan
Syncleus/aparapi
The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
ROCm/iris
AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming
CodedK/CUDA-by-Example-source-code-for-the-book-s-examples-
CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.
ProjectPhysX/OpenCL-Wrapper
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.
Glavnokoman/vuh
Vulkan compute for people
Polytonic/Chlorine
Dead Simple OpenCL
amandaghassaei/gpu-io
A GPU-accelerated computing library for running physics simulations and other GPGPU computations in a web browser.
cdeterman/gpuR
R interface to use GPU's
libocca/occa
Portable and vendor neutral framework for parallel programming on heterogeneous platforms.