cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit (by NVIDIA)
nvidia-auto-installer-for-fedora-linux
A CLI tool which lets you install proprietary NVIDIA drivers and much more easily on Fedora Linux (32 or above and Rawhide) (by gridhead)
| cuda-samples | nvidia-auto-installer-for-fedora-linux | |
|---|---|---|
| 15 | 29 | |
| 5,348 | 414 | |
| 3.7% | - | |
| 5.0 | 8.0 | |
| 22 days ago | 11 days ago | |
| C | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cuda-samples
Posts with mentions or reviews of cuda-samples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-01.
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Is anyone successfully using an RTX 3000-series under WSL2?
installing, building, and running WSL CUDA examples from https://github.com/nvidia/cuda-samples
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Updated Install Instructions Dec 2022
After which nvcc should be accessible to new sessions, and you can build C++ cuda stuff like cuda-samples. Python packages like pytorch should also see CUDA and be able to use it.
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Virtual Memory Management APIs for NVIDIA GPUs on Windows
I haven't found any note that these APIs do not support Windows, and it also seems that the memMapIPCDrv CUDA sample supports Windows.
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ROS with CUDA on windows
I installed nvidia-cuda-toolkit and tried to build https://github.com/NVIDIA/cuda-samples but I'm getting stupid errors... it installed nvccat /usr/bin/nvcc and the samples expect /usr/local/cuda/bin/nvcc... symlinking it to that location and it dies with
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Script to install nvidia drivers , cuda/nvcc, gcc11 and setup on Fedora 36
Can build the cuda-samples, then you have a working nvcc.
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Can't get some CUDA Samples to work
I have installed cuda and cudnn, and was testing the installation with the cuda-samples, as the Arch Wiki suggested. But, I am not able to get samples like nbody, smokeparticles, Mandelbrot, etc. to run. Although devicequery works fine, and I get the expected output, so I think there is not a problem with my cuda installation.
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Cuda application question
Hi, I don't have much experience with Nvidia Jetsons. You can find some examples on GitHub (here https://github.com/NVIDIA/cuda-samples). You can find CUDA implementations of most functions on the internet though, you just have to look for the specific thing you are looking for. Cuda kernels are not platform specific, they should work on GPUs and embedded developer boards without problems as long as you respect the limits imposed by the "compute capability" of your device, you just have to compile your code using the right architecture flag. The biggest limit you have to deal with when developing for Jetson nano is the low amount of memory.
- My GPU-accelerated raytracing renderer
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Tutorial for ubuntu 20.04
—> git clone https://github.com/NVIDIA/cuda-samples.git —> cd cuda-samples/Samples/1_Utilities/deviceQuery/ —> make —> ./deviceQuery (Result=pass?good) —> cd ~/ —> wget https://repo.anaconda.com/archive/Anaconda3-2021.11-Linux-x86_64.sh
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cuda_kde_depth_packet_processor.cu:39:10: fatal error: helper_math.h: File or directory not found
is this the source code that u are talking about ? : https://github.com/NVIDIA/cuda-samples ? I dont see any CMakeLists.txt inside...
nvidia-auto-installer-for-fedora-linux
Posts with mentions or reviews of nvidia-auto-installer-for-fedora-linux.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-20.
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Issues with NVIDIA drivers on Fedora
I fixed it. I used this github repo and now it works perfectly. So if anyone faces the same problems currently, this fixed it for me. I don't know what it actually does or if it can damage anything but honestly I don't care as long as it works.
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Why does resizing windows in Linux desktop don't feel quite as "snappy" as in other OSes?
If you have installed fedora and didn’t explicitly install the proprietary Nvidia drivers then you don’t have them, the third party codecs/drivers you mentioned elsewhere in the post don’t include the Nvidia drivers themselves. You can follow the instructions on this GitHub repo to install them for yourself. That should improve performance GREATLY. https://github.com/t0xic0der/nvidia-auto-installer-for-fedora-linux
- My tips for getting Fedora 38 working w/ Nvidia GPU & Intel CPU
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Da Vinci Resolve with Nvidia Drivers on F37 with KDE Wayland
Simply follow the instructions at https://github.com/t0xic0der/nvidia-auto-installer-for-fedora-linux
- I need help with installing NVIDIA drivers to fedora
- Is there a clear tutorial on how to install Nvidia driver
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Drivers NVIDIA Fedora 37 KDE
Use this
- Everything on the screen flickers constantly
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Refresh Rate is Too Low
Use this for nvidia stuff link
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kmod-nvidia and kernel version mismatch, again
If you want a easy way to install nvidia drivers you should consider this: https://github.com/t0xic0der/nvidia-auto-installer-for-fedora-linux . It worked for me on my rtx 3050. If you have 2 GPU's (hybrid system) I would consider using envy control
What are some alternatives?
When comparing cuda-samples and nvidia-auto-installer-for-fedora-linux you can also consider the following projects:
VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
nvidia-optimus-manager - A python script to manage the status of NVIDIA graphics card on an Optimus setup for Solus linux
catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
mate-optimus - NVIDIA Optimus GPU switcher
geodesic_raytracing
mkosi - 💽 Build Bespoke OS Images
hashcat - World's fastest and most advanced password recovery utility
howdy - 🛡️ Windows Hello™ style facial authentication for Linux
RAJA - RAJA Performance Portability Layer (C++)
anaconda - System installer for Fedora, RHEL and other distributions
blender-cuda-subdivision-surface-gpu - A Blender 3.0.0 fork that will allow you to subdivide complex meshes using CUDA compatible GPUs. (WIP)
nvidia-auto-installer-for-fedora - A CLI tool which lets you install proprietary NVIDIA drivers and much more easily on Fedora Linux (32 or above and Rawhide) [Moved to: https://github.com/t0xic0der/nvidia-auto-installer-for-fedora-linux]
cuda-samples vs VkFFT
nvidia-auto-installer-for-fedora-linux vs nvidia-optimus-manager
cuda-samples vs catboost
nvidia-auto-installer-for-fedora-linux vs mate-optimus
cuda-samples vs geodesic_raytracing
nvidia-auto-installer-for-fedora-linux vs mkosi
cuda-samples vs hashcat
nvidia-auto-installer-for-fedora-linux vs howdy
cuda-samples vs RAJA
nvidia-auto-installer-for-fedora-linux vs anaconda
cuda-samples vs blender-cuda-subdivision-surface-gpu
nvidia-auto-installer-for-fedora-linux vs nvidia-auto-installer-for-fedora