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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better cuda-samples alternative or higher similarity.
cuda-samples reviews and mentions
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...
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Stats
Basic cuda-samples repo stats
15
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4.9
9 days ago
NVIDIA/cuda-samples is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of cuda-samples is C.
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