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 159 python 89 pytorch 69 cpp 58 nvidia 57 machine-learning 50 deep-learning 48 opencl 36 gpgpu 31 rust 31

Languages

C++ 132 Python 122 Cuda 63 Rust 30 Jupyter Notebook 26 C 26 Shell 16 Dockerfile 12 Julia 11 Go 6

Licenses

MIT 158 APACHE-2.0 73 OTHER 55 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 2

marian-dev

Fast Neural Machine Translation in C++ - development repository

03 May 2016 255

https://github.com/sh1ng/arboretum

Gradient Boosting powered by GPU(NVIDIA CUDA)

28 Jan 2016 64

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

https://github.com/lebedov/cudamps

Python interface to CUDA Multi-Process Service

13 May 2015 7

CLTune

CLTune: An automatic OpenCL & CUDA kernel tuner

11 Jan 2015 158

par4all

Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran sequential programs

08 Feb 2014 51

cuda

Haskell FFI bindings to CUDA

16 Apr 2011 76

https://github.com/lebedov/scikit-cuda

Python interface to GPU-powered libraries

27 Sep 2010 986