Build userspace NVMe drivers and storage applications with CUDA support

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

On-demand transcoding origin server for live inputs and static files in Go using ffmpeg. Also with NVIDIA GPU hardware acceleration.

GitHub Action to install CUDA

Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line

An implementation of parallel exclusive scan in CUDA

Mavenized JCuda, please use version available in Maven Central

Implementation of ConjugateGradients method using C and Nvidia CUDA

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

Inspecting GPUs with Julia

Dockerized Folding@home client with NVIDIA GPU support to help battle COVID-19

A step-by-step guide to setting up Nvidia GPUs with CUDA support running on Docker (and Compose) containers on NixOS host

Restream live content as HLS using ffmpeg in docker. Also with NVIDIA GPU hardware acceleration.

This is an open source program based on NVIDIA cuda, which includes two-dimensional and three-dimensional VTI media forward simulation and reverse time migration imaging, two-dimensional TTI media reverse time migration imaging, and ADCIGs extraction of the above media]

NVIDIA DeepStream SDK

NVIDIA-based GPU Accelerated Finite Difference Forward Seismic Simulation of VTI Media]

StiffMa: Fast finite element STIFFness MAtrix generation in MATLAB by using GPU computing.

Sparse linear Boolean algebra for Nvidia Cuda