GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
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Updated
May 6, 2024 - C++
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
GitHub Action to install CUDA
Build userspace NVMe drivers and storage applications with CUDA support
Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line
On-demand transcoding origin server for live inputs and static files in Go using ffmpeg. Also with NVIDIA GPU hardware acceleration.
Restream live content as HLS using ffmpeg in docker. Also with NVIDIA GPU hardware acceleration.
An implementation of parallel exclusive scan in CUDA
NVIDIA DeepStream SDK
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]
Implementation of ConjugateGradients method using C and Nvidia CUDA
FFmpeg 4.0 with NVIDIA P4 GPU Driver Support
Dockerized Folding@home client with NVIDIA GPU support to help battle COVID-19
HTML/JS port of CUDA Occupancy Calculator
StiffMa: Fast finite element STIFFness MAtrix generation in MATLAB by using GPU computing.
NVIDIA-based GPU Accelerated Finite Difference Forward Seismic Simulation of VTI Media]
A docker container with a CUDA enabled build of ethminer
A simple profiler to count Nvidia PTX assembly instructions of OpenCL/SYCL/CUDA kernels for roofline model analysis.
Example of how to setup a NVIDIA DevContainer with GPU Support for Tensorflow/Keras, that follows the page https://alankrantas.medium.com/setup-a-nvidia-devcontainer-with-gpu-support-for-tensorflow-keras-on-windows-d00e6e204630
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