During the installation of Cuda I met a problem.
I followed the installation on http: // doc.ubuntu-fr.org / cuda
I installed the toolkit and the sdk but once arrived at the test I have an error message:
OpenGL device is Available
FATAL: Error inserting nvidia_331_updates_uvm (/lib/modules/3.8.0-39-generic/updates/dkms/nvidia-331-updates-uvm.ko): Unknown symbol in module, or unknown parameter (see dmesg)
fluidsGL.cpp(416) : CUDA Runtime API error 30: unknown error.
I have a graphic cart GeForce GTX TITAN Black (http://www.nvidia.fr/gtx-700-graphics-cards/gtx-titan-black/) and version Ubuntu 12.04
Here is my dkms status:
nvidia, 331.67, 3.8.0-38-generic, x86_64: installed
nvidia, 331.67, 3.8.0-39-generic, x86_64: installed
nvidia-331-updates, 331.20, 3.8.0-38-generic, x86_64: installed
nvidia-331-updates, 331.20, 3.8.0-39-generic, x86_64: installed
nvidia-331-updates-uvm, 331.20, 3.8.0-39-generic, x86_64: installed
Thank you in advance for your help
Yes your problem may be related to the confusing html LAYOUT of the install Guide:
After install (opensuse12.3 but I think this is generic to several linux’s) I got a:
FATAL: Module nvidia_uvm not found. error and
CUDA Device Query (Runtime API) version (CUDART static linking)
cudaGetDeviceCount returned 30
-> unknown error
Result = FAIL
The problem for me was I didnt install the additional packages…
The install guide’s:
HTML is formated such that it says do-
- Package Manager Installation
Well after I did my specific OS I figured I was done with the 3.X section and neglected 3.8 :
3.8. Additional Package Manager Capabilities
IT SHOULD BE FORMATED SO THAT
3.3 Additional Package Manager Capabilities
SO Folks DONT SKIP THIS INPORTANT STEP!!!
It seem’s like others are also having this problem… I will cross post!!
On the bright side this install (os and cuda) only took a day (85% being opensuse’s)!
This is far better then the cuda 5.5 which had to be done by manually shuting down the
graphics subsystem! That and fedora which trashed my drives took a month to set up!
But I have to say for those who are new… stick with it … It is well worth it!
Cuda will change how you solve computational problems… and for the better!