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

nvml_examples

Examples showing how to utilize the NVML library for GPU monitoring

09 May 2019 16

docker_image_with_cuda10_cudnn7

Dockerfiles and manual for easy build of docker image with CUDA10

03 May 2019 17

peakperf

Achieve peak performance on x86 CPUs and NVIDIA GPUs

10 Mar 2018 58

Background-Subtraction-on-GPU-with-CUDA-and-OpenCV

In this code is provided a simple, efficient and fast method to calculate motion and backgroud dynamically using nVidia GPUs power

25 Oct 2017 9

CudaPerformance

Compare the performance of matrix multiplication among GPU shared memory, GPU global memory and CPU

15 Oct 2017 3

xmrMiner

A CUDA based miner for Monero

01 Mar 2017 179

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

ILGPU JIT Compiler for high-performance

08 Jan 2017 1,343