GPU CUDA problems: CUDA_ERROR_UNKNOWN
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Hi I use a GeForce GTX 980 with Ubuntu 15.04, but I have trouble using the GPU from within Matlab. When i run gpuDevice I get the following error " >> g=gpuDevice Error using gpuDevice (line 26) An unexpected error occurred during CUDA execution. The CUDA error was: CUDA_ERROR_UNKNOWN "
Can anyone help me figuring out what the problem is?
1 Comment
Joss Knight
on 28 May 2015
What version of MATLAB are you using?
Answers (7)
Ashish Gudla
on 27 May 2015
Edited: Ashish Gudla
on 27 May 2015
1 vote
It is possible that the CUDA driver might be causing the error message. Do you have the latest drivers installed? If not, install the latest drivers and verify if you still see the error message.
You can get the drivers from:
1 Comment
hongshaorou
on 15 Mar 2018
thanks,I am trying to solve.
Wajahat
on 3 Dec 2015
Try starting matlab with sudo:
>> sudo /usr/local/MATLAB/R2014a/bin/matlab -desktop
It seems to be a permission error. I've started matlab as root and, in my case, the problem was solved.
To run as normal user, see this:
https://bugs.launchpad.net/ubuntu/+source/nvidia-graphics-drivers-331/+bug/1361207
You have to install nvidia-modprobe package.
Yue Bai
on 21 Aug 2017
0 votes
I met the same problem, solved with restart computer
SATYAM KUMAR CHOURASIYA 16MCA1038
on 12 Mar 2018
Error using parallel.gpu.CUDADevice.hBuild
An unexpected error occurred trying to retrieve CUDA device properties. The CUDA error was:
CUDA_ERROR_UNKNOWN
my gpu device having computing capacity of 2.1 ,
can u elaborate this is the reason of this issue or something else?
Yuya Kodama
on 20 Nov 2020
0 votes
In my environment, everything from R2020b to R2016a had the same error with no gpu available.
The GPU is Tesla K80 * 2 and the OS is Ubuntu 18,04.
When I checked, nvidia-smi was OK, but even python tensorflow could not call the GPU.
The reason was that my predecessor had left behind a blacklist.conf configuration file with a fixed driver version.
So, all drivers could not be loaded by modprove.
Therefore, I think that the dependencies were broken with the version upgrade.
bai yang
on 17 Feb 2022
0 votes
I solved this problem with run as administrator. You can just have a try.
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