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Top 90 gpu-computing open source projects

HeCBench
software.intel.com/content/www/us/en/develop/articles/repo-evaluating-performance-productivity-oneapi.html
PySDM
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
kompute
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.
taichi pt
progressive path tracer written in taichi
Etaler
A flexable HTM (Hierarchical Temporal Memory) framework with full GPU support.
gpu-cluster-config
How to Configure a GPU Cluster Running Ubuntu Linux
GooFit
Code repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP
aer-engine
♒ An OpenGL 4.3 / C++ 11 rendering engine oriented towards animation.
compute-shader-101
Sample code for compute shader 101 training
RaytrAMP
Shooting and bouncing rays method for radar cross-section calculations, accelerated with BVH algorithm running on GPU (C++ AMP).
qmc
A Quasi-Monte-Carlo Integrator Library with CUDA Support
euler2d cudaFortran
2nd order Godunov solver for 2d Euler equations written in CUDA Fortran and stdpar (standard paralelism)
PetIBM
PetIBM - toolbox and applications of the immersed-boundary method on distributed-memory architectures
CARE
CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.
CUDAfy.NET
CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.
notebooks
A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:
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