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

https://github.com/romnn/nvbit-rs

Rust bindings to the NVIDIA NVBIT binary instrumentation API

08 Nov 2022 2

https://github.com/UpsettingBoy/gpgpu-rs

Simple experimental async GPGPU framework for Rust

12 Aug 2021 145

https://github.com/rapidsai/node

GPU-accelerated data science and visualization in node

01 Jun 2020 179

https://github.com/ROCm/hipfort

Fortran interfaces for ROCm libraries

13 May 2020 69

awesome-gpgpu

A curated list of awesome GPGPU (CUDA/OpenCL/Vulkan) resources

20 Jun 2018 63

https://github.com/m4rs-mt/ILGPU

ILGPU JIT Compiler for high-performance

08 Jan 2017 1,343

https://github.com/libmir/dcompute

DCompute: Native execution of D on GPUs and other Accelerators

17 Jul 2016 135

https://github.com/diku-dk/futhark

A data-parallel functional programming language

01 Feb 2013 2,302

vexcl

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

29 May 2012 701