Cuda Ecosystem

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.

Community Repos

Experts

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Created by: NVIDIA

Released: June 23, 2007

Keywords

gpu 162 python 89 pytorch 69 cpp 58 nvidia 58 machine-learning 50 deep-learning 48 opencl 36 rust 31 tensorflow 31

Languages

C++ 131 Python 123 Cuda 65 Rust 30 Jupyter Notebook 26 C 26 Shell 17 Dockerfile 13 Julia 11 Go 6

Licenses

MIT 159 APACHE-2.0 73 OTHER 56 GPL-3.0 41 BSD-3-CLAUSE 24 GPL-2.0 6 BSD-2-CLAUSE 5 CC0-1.0 4 LGPL-3.0 4 AGPL-3.0 3

https://github.com/src-d/minhashcuda

Weighted MinHash implementation on CUDA (multi-gpu)

25 Oct 2016 114

https://github.com/arbor-sim/arbor

The Arbor multi-compartment neural network simulation library

03 Oct 2016 108

penguinV

Computer vision library with focus on heterogeneous systems

09 Jun 2016 118

omega_h

Simplex mesh adaptivity for HPC

13 May 2016 113

marian-dev

Fast Neural Machine Translation in C++ - development repository

03 May 2016 255

https://github.com/mp3guy/ElasticFusion

Real-time dense visual SLAM system

22 Oct 2015 1,772

https://github.com/mp3guy/Kintinuous

Real-time large scale dense visual SLAM system

22 Oct 2015 913

CLTune

CLTune: An automatic OpenCL & CUDA kernel tuner

11 Jan 2015 158

alpaka

Abstraction Library for Parallel Kernel Acceleration

05 Nov 2014 303

https://github.com/gunrock/gunrock

Programmable CUDA/C++ GPU Graph Analytics

03 Nov 2013 965

vexcl

VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

29 May 2012 701