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 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

arbor

The Arbor multi-compartment neural network simulation library

03 Oct 2016 108

dcompute

DCompute: Native execution of D on GPUs and other Accelerators

17 Jul 2016 135

penguinV

Computer vision library with focus on heterogeneous systems

09 Jun 2016 118

omega_h

Simplex mesh adaptivity for HPC

13 May 2016 113

kernel_tuner

Kernel Tuner

28 Mar 2016 248

gpuvmem

GPU Framework for Radio Astronomical Image Synthesis

03 Mar 2016 28

arboretum

Gradient Boosting powered by GPU(NVIDIA CUDA)

28 Jan 2016 64

brian2cuda

A brian2 extension to simulate spiking neural networks on GPUs

27 Oct 2015 58

cudamps

Python interface to CUDA Multi-Process Service

13 May 2015 7

alpaka

Abstraction Library for Parallel Kernel Acceleration

05 Nov 2014 303

gunrock

Programmable CUDA/C++ GPU Graph Analytics

03 Nov 2013 965

futhark

A data-parallel functional programming language

01 Feb 2013 2,302

scikit-cuda

Python interface to GPU-powered libraries

27 Sep 2010 986