Build userspace NVMe drivers and storage applications with CUDA support
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Updated
Dec 18, 2023 - C
Build userspace NVMe drivers and storage applications with CUDA support
On-demand transcoding origin server for live inputs and static files in Go using ffmpeg. Also with NVIDIA GPU hardware acceleration.
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA and AMD HIP.
GitHub Action to install CUDA
JetYOLO:Speed through your TensorRT/Deepstream app development.
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
A simple profiler to count Nvidia PTX assembly instructions of OpenCL/SYCL/CUDA kernels for roofline model analysis.
Implementation of ConjugateGradients method using C and Nvidia CUDA
Restream live content as HLS using ffmpeg in docker. Also with NVIDIA GPU hardware acceleration.
A step-by-step guide to setting up Nvidia GPUs with CUDA support running on Docker (and Compose) containers on NixOS host
A guide on using NVidia GPUs for transcoding or AI in Kubernetes
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]
Detailed guide to run Wayland instead of X11 on modern laptops and GPUs. Works with NVIDIA mobile GPUs, should work with every iGPU (Intel or AMD).
Dockerized Folding@home client with NVIDIA GPU support to help battle COVID-19
A Complete beginner's introduction to programming with CUDA Fortran
NVIDIA-based GPU Accelerated Finite Difference Forward Seismic Simulation of VTI Media]
Real-time performance metrics and statistics for your Nvidia GPU
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