Topic: nvidia-cuda Goto Github
Some thing interesting about nvidia-cuda
Some thing interesting about nvidia-cuda
nvidia-cuda,manylinux docker images with CUDA Toolkit
User: ameli
Home Page: https://hub.docker.com/r/sameli/manylinux_2_28_x86_64_cuda_12.3
nvidia-cuda,Recent development in Graphic Processing Units (GPUs) has opened a new challenge in harnessing their computing power as a new general-purpose computing paradigm with its CUDA parallel programming. However, porting applications to CUDA remains a challenge to average programmers. We have developed a restructuring software compiler (RT-CUDA) with best possible kernel optimizations to bridge the gap between high-level languages and the machine dependent CUDA environment. RT-CUDA is based upon a set of compiler optimizations. RT-CUDA takes a C-like program and convert it into an optimized CUDA kernel with user directives in a con.figuration .file for guiding the compiler. While the invocation of external libraries is not possible with OpenACC commercial compiler, RT-CUDA allows transparent invocation of the most optimized external math libraries like cuSparse and cuBLAS. For this, RT-CUDA uses interfacing APIs, error handling interpretation, and user transparent programming. This enables efficient design of linear algebra solvers (LAS). Evaluation of RT-CUDA has been performed on Tesla K20c GPU with a variety of basic linear algebra operators (M+, MM, MV, VV, etc.) as well as the programming of solvers of systems of linear equations like Jacobi and Conjugate Gradient. We obtained significant speedup over other compilers like OpenACC and GPGPU compilers. RT-CUDA facilitates the design of efficient parallel software for developing parallel simulators (reservoir simulators, molecular dynamics, etc.) which are critical for Oil & Gas industry. We expect RT-CUDA to be needed by many industries dealing with science and engineering simulation on massively parallel computers like NVIDIA GPUs.
User: ayazhassan
nvidia-cuda,This script collects some informations about NVLink and PCI bus traffic of NVidia GPUs. Results are published as prometheus metrics via a websocket.
Organization: beuth-erdelt
nvidia-cuda,PyTorch Image and Video Super-Resolution, specialized for vehicle and traffic view processing and performed by using Deep Convolutional Neural Networks
User: blitzingeagle
nvidia-cuda,Notes for Installing WSL2 Kali Linux + KDE Plasma GUI + Docker + Nvidia
User: bsalita
nvidia-cuda,Follow a person with a PTZ camera using openpose for people recognition
User: cameron-d
nvidia-cuda,Dockerized Folding@home client with NVIDIA GPU support to help battle COVID-19
User: codingcoffee
nvidia-cuda,A YOLOv4 model that can detect 5 classes on the road and a comparison with YOLOv3.
User: dec880126
nvidia-cuda,Automatic transcriber made with the Nvidia NeMo AI toolkit. Used to transcribe speech to text in real-time from any source. Requires CUDA capable GPU to run on the local machine, if setup using virtual audio cables can transcribe the audio that is being played in real-time without any other requirements.
User: denizariyan
nvidia-cuda,Reference implementation of a multi-tenant GPU-accelerated application, packaged as a Docker container and intended to be used in AWS on NVIDIA-powered instances.
Organization: devalent
Home Page: https://devalent.com/blog/multitenant-gpu-accelerated-aws-applications/
nvidia-cuda,
User: dkozlov
nvidia-cuda,GPUDirect Async implementation of HPGMG-FV CUDA
User: e-ago
nvidia-cuda,Build userspace NVMe drivers and storage applications with CUDA support
User: enfiskutensykkel
nvidia-cuda,StiffMa: Fast finite element STIFFness MAtrix generation in MATLAB by using GPU computing.
User: fjramireg
nvidia-cuda,A simple image classifier built with Keras using NVIDIA cuda libraries.
User: gabrielkirsten
nvidia-cuda,GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
Organization: genn-team
Home Page: http://genn-team.github.io/
nvidia-cuda,JetYOLO:Speed through your DeepStream app development, cleverly and creatively.
User: gitctrlx
nvidia-cuda,A repo for study CUDA
Organization: hello-computer-science
nvidia-cuda,Notes and Examples to get started Parallel Computing with CUDA.
User: hibestil
nvidia-cuda,NVIDIA DeepStream SDK
User: hoanglehaithanh
nvidia-cuda,FFmpeg 4.0 with NVIDIA P4 GPU Driver Support
User: iliul
nvidia-cuda,CUDA Programming Practices
User: imsanjoykb
Home Page: https://imsanjoykb.github.io/
nvidia-cuda,GitHub Action to install CUDA
User: jimver
nvidia-cuda,A Complete beginner's introduction to programming with CUDA Fortran
User: koushikphy
nvidia-cuda,CUDA C simple application for Nvidia's GPU
User: luca-dalmasso
nvidia-cuda,On-demand transcoding origin server for live inputs and static files in Go using ffmpeg. Also with NVIDIA GPU hardware acceleration.
User: m1k1o
nvidia-cuda,Restream live content as HLS using ffmpeg in docker. Also with NVIDIA GPU hardware acceleration.
User: m1k1o
nvidia-cuda,An implementation of parallel exclusive scan in CUDA
User: mattdean1
nvidia-cuda,Fundamentals of heterogeneous parallel programming with CUDA C/C++ at the beginner level.
Organization: molssi-education
Home Page: http://education.molssi.org/gpu_programming_beginner
nvidia-cuda,Mavenized JCuda, please use version available in Maven Central
User: mysterionrise
Home Page: http://mysterionrise.github.io/mavenized-jcuda/
nvidia-cuda,Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line
User: nathtest
nvidia-cuda,
User: neurite
Home Page: https://neurite.github.io/debian-setup
nvidia-cuda,Implementation of ConjugateGradients method using C and Nvidia CUDA
User: p-sto
nvidia-cuda,Inspecting GPUs with Julia
Organization: pc2
Home Page: https://pc2.github.io/GPUInspector.jl/
nvidia-cuda,A simple profiler to count Nvidia PTX assembly instructions of OpenCL/SYCL/CUDA kernels for roofline model analysis.
User: projectphysx
nvidia-cuda,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
User: psaboia
nvidia-cuda,pyhf Docker images built on Nvidia Container Toolkit enabled base images
Organization: pyhf
Home Page: https://hub.docker.com/r/pyhf/cuda/
nvidia-cuda,A performance comparison of standard matrix functions between CPU and GPU using Nvidia CUDA on Visual Studio using C++
User: rbga
nvidia-cuda,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]
User: rtoax
nvidia-cuda,NVIDIA-based GPU Accelerated Finite Difference Forward Seismic Simulation of VTI Media]
User: rtoax
nvidia-cuda,Portably Performant Physical Algebra
Organization: sandialabs
nvidia-cuda,Sparse linear Boolean algebra for Nvidia Cuda
Organization: sparselinearalgebra
Home Page: https://pypi.org/project/pycubool/
nvidia-cuda,This system tracks artifacts in museum and triggers alarm if artifact goes missing from the frame.
User: sudonitin
Home Page: https://youtu.be/I3j_2NcZQds
nvidia-cuda,A step-by-step guide to setting up Nvidia GPUs with CUDA support running on Docker (and Compose) containers on NixOS host
User: suvash
nvidia-cuda,My bachelor and master thesis at Voronezh State University
User: tandav
nvidia-cuda,A guide on using NVidia GPUs for transcoding or AI in Kubernetes
User: untouchedwagons
nvidia-cuda,Installation Guide for Windows Subsystem for Linux 2
User: wayne2wang
nvidia-cuda,Convolution 2D cuDNN C++ implement demo 二维卷积的cuDNN实现样例 2次元畳み込みのcuDNN実装例
User: whitelok
nvidia-cuda, A lightweight docker container for the SheepIt! render farm with WebUI with CUDA support
User: zocker-160
Home Page: https://www.sheepit-renderfarm.com/
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