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

Visit Website View on GitHub

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 tensorflow 31 gpu-computing 31

Languages

C++ 129 Python 124 Cuda 65 Rust 30 Jupyter Notebook 26 C 26 Shell 17 Dockerfile 13 Julia 11 Go 6

Licenses

MIT 159 APACHE-2.0 72 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

alpaka

Abstraction Library for Parallel Kernel Acceleration

05 Nov 2014 303

par4all

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

08 Feb 2014 51

gunrock

Programmable CUDA/C++ GPU Graph Analytics

03 Nov 2013 965

futhark

A data-parallel functional programming language

01 Feb 2013 2,302

amgcl

C++ library for solving large sparse linear systems with algebraic multigrid method

03 Dec 2012 729

vexcl

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

29 May 2012 701

cuda

Haskell FFI bindings to CUDA

16 Apr 2011 76

scikit-cuda

Python interface to GPU-powered libraries

27 Sep 2010 986