![]() ![]() ![]() The application inside your container was compiled for a CUDA The NVIDIA libraries are in the system’s library search path. Not need to have an X server running, unless you want to run Matching version of the basic NVIDIA/CUDA libraries. The host has a working installation of the NVIDIA GPU driver, and a To use the -nv flag to run a CUDA application inside a container Version of the CUDA libraries are used by applications run inside the Set the LD_LIBRARY_PATH inside the container so that the bound-in Locate and bind the basic CUDA libraries from the host into theĬontainer, so that they are available to the container, and match the The container, so that the GPU cards in the host are accessible. The -nv flag will:Įnsure that the /dev/nvidiaX device entries are available inside NVIDIA GPUs & CUDA (Standard) Ĭommands that run, or otherwise execute containers ( shell,Įxec) can take an -nv option, which will setup the container’sĮnvironment to use an NVIDIA GPU and the basic CUDA libraries to run aĬUDA enabled application. Thisįunctionality, accessible via the new -nvccli flag, improvesĬompatibility with OCI runtimes and exposes additional containerĬonfiguration options. Nvidia’s nvidia-container-cli tooling for GPU container setup. Used easily, with an additional bind option.Īpptainer experimental support is provided to use run tensorflow in an up-to-date Ubuntu 20.04 container, from anĪpplications that support OpenCL for compute acceleration can also be Has a driver and library installation for CUDA/ROCm then it’s possible Tensorflow, regardless of the host operating system. This allowsĮasy access to users of GPU-enabled machine learning frameworks such as NVIDIA’s CUDA GPU compute framework, or AMD’s ROCm solution. I also habe concerns about double buffering and the correct use of swapBuffers().Apptainer natively supports running application containers that use Is it possible, that the QGLWidget has some kind of problem with CUDA altering the texture data? Or this whole shared context thing between OpenGL and CUDA? like that already and can provide some useful hints? Well, I tried many combinations of the above steps, going one line after another through the examples NVIDIA provided with their CUDA SDK. CUDA kernel working on the date behind the pointer load the texture (tried QImage and cutLoadPPM4ub) So, once again, I want to have a texture, modify it in some ways with CUDA kernels working on it, and display it in a QGLWidget, having OpenGL as the interface to both of them.īasically, I was trying to get some of NVIDIA's examples (SobelFilter) to work in an QGLWidget. I'm currently trying to get a combination of an QGLWidget showing an OpenGL texture which was modified by a CUDA kernel to work. If you have any problems with the registration process or your account login, please contact us. Registration is fast, simple and absolutely free so please, join our community today! By joining our free community you will have access to post topics, communicate privately with other members (PM), respond to polls, upload content and access many other special features. You are currently viewing our boards as a guest which gives you limited access to view most discussions and access our other features. If you are looking for information about Qt related issue - register and post your question. ![]() Over 90 percent of questions asked here gets answered. Qt Centre is a community site devoted to programming in C++ using the Qt framework. Select the forum that you want to visit from the selection below. Before you can post: click the register link above to proceed. ![]()
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