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

cccl

CUDA C++ Core Libraries

17 Sep 2020 743

kernel_tuner

Kernel Tuner

28 Mar 2016 248

AutoDock-GPU

AutoDock for GPUs and other accelerators

14 Jun 2019 377

PySDM

Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab

26 Jul 2019 45

cuvarbase

Python library for fast time-series analysis on CUDA GPUs

22 Jun 2017 24

gpuvmem

GPU Framework for Radio Astronomical Image Synthesis

03 Mar 2016 28

PTXprofiler

A simple profiler to count Nvidia PTX assembly instructions of OpenCL/SYCL/CUDA kernels for roofline model analysis

11 Jan 2023 37

RayBNN_Optimizer

Gradient Descent Optimizers and Genetic Algorithms using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI

19 Oct 2023 2

blake3

SYCL accelerated BLAKE3 Hash Implementation

06 Jan 2022 10