The .deb installer does not work for the moment; I guess because the “PPA” has not been updated for
Ubuntu 14.04. I removed the .deb after trying to install CUDA with it.
I got a warning message stating: You are attempting to install on an unsupported configuration
I used override option because Ubuntu 14.04 is shipped with gcc 4.8.2.
I installed everything but the driver, I kept default paths.
$ ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
cudaGetDeviceCount returned 3
-> initialization error
Result = FAIL
sudo ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
modprobe: ERROR: ../libkmod/libkmod-module.c:809 kmod_module_insert_module() could not find module by name='nvidia_331_uvm'
modprobe: ERROR: could not insert 'nvidia_331_uvm': Function not implemented
cudaGetDeviceCount returned 3
-> initialization error
Result = FAIL
It looks like the discrete GPU is off :
$ sudo nvidia-smi
Fri Apr 25 09:11:41 2014
+------------------------------------------------------+
| NVIDIA-SMI 331.38 Driver Version: 331.38 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Quadro K3000M Off | 0000:01:00.0 Off | N/A |
| N/A 35C P8 N/A / N/A | 362MiB / 2047MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Compute processes: GPU Memory |
| GPU PID Process name Usage |
|=============================================================================|
| No running compute processes found |
+-----------------------------------------------------------------------------+
$ sudo ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
modprobe: ERROR: ../libkmod/libkmod-module.c:809 kmod_module_insert_module() could not find module by name='nvidia_331_uvm'
modprobe: ERROR: could not insert 'nvidia_331_uvm': Function not implemented
cudaGetDeviceCount returned 3
-> initialization error
Result = FAIL
I also tried :
sudo nvidia-xconfig
Using X configuration file: "/etc/X11/xorg.conf".
WARNING: Unable to find CorePointer in X configuration; attempting to add new CorePointer section.
WARNING: The CorePointer device was not specified explicitly in the layout; using the first mouse device.
WARNING: Unable to find CoreKeyboard in X configuration; attempting to add new CoreKeyboard section.
WARNING: The CoreKeyboard device was not specified explicitly in the layout; using the first keyboard device.
Backed up file '/etc/X11/xorg.conf' as '/etc/X11/xorg.conf.nvidia-xconfig-original'
Backed up file '/etc/X11/xorg.conf' as '/etc/X11/xorg.conf.backup'
New X configuration file written to '/etc/X11/xorg.conf'
You need to make sure that nvidia-uvm gets compiled and you’re able to modprobe it successfully. Next, you might have to fix the nvidia nodes with the right permissions via the advice of the thread above.
Thanks for the reply; the uvm module was successfully installed in the kernel :
Loading new nvidia-331-uvm-331.38 DKMS files...
First Installation: checking all kernels...
Building only for 3.13.0-24-generic
Building for architecture x86_64
Building initial module for 3.13.0-24-generic
Done.
nvidia-331-uvm:
Running module version sanity check.
- Original module
- No original module exists within this kernel
- Installation
- Installing to /lib/modules/3.13.0-24-generic/updates/dkms/
depmod....
DKMS: install completed.
Now I always get the same message (sudo or not)
$ sudo ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
cudaGetDeviceCount returned 3
-> initialization error
Result = FAIL
I don’t know why 3 devices ?!
This thread states that upgrading drivers solves the issue. I tried to install the embedded driver in the CUDA toolkit (331.62) but I can’t get it working.
Maybe I should wait for an official 14.04 package !
It’s not saying 3 devices, it’s saying it returned error code 3, which is ‘initialization error’.
Did you try to invoke nvidia-smi as root before trying deviceQuery again? I didn’t see you mention that you had done that. Otherwise, I’m not sure what else would be the issue, perhaps someone else can comment.
I don’t know if there’s a compatibility problem with Cuda 6.0 and Linux drivers, but I could never get it to work myself tbh… 5.5 has worked perfect for me, but you have to create links in .bashrc otherwise I couldn’t use anything Cuda.
Open up Terminal and do this…
cd
nano .bashrc
and in that file? add this somewhere (I’m using 5.5 as an example but if you wish to try 6.0 then change the 5.5 parts to 6.0)
I’m having the same problem… I reinstall the Linux to try again, how can I start to install Cuda ?? if I try to run the .run file he says “You are attempting to install on an unsupported configuration”
Here is a quick guide on how to install nvidia drivers + CUDA 5.5 on Ubuntu 14.04 with a machine using prime technology:
Only if you already have nvidia drivers; purge them:
sudo apt-get --purge remove nvidia-*
Install the proprietary driver with the Software & updates program : External Media
Reboot, take a look at “X server settings” application and you should be able to see “PRIME Profiles”, keep NVIDIA (performance mode).
Switch to a virtual terminal (Ctrl + Alt + 1 for example) and login; then
sudo service lightdm stop
sudo ./cuda_5.5.22_linux_64.run -override
The -override option is mandatory because Ubuntu 14.04 ships with gcc 4.8.2 which is not recognized as supported by the CUDA .run installer.
When prompted if you want to install the nvidia driver embedded into the .run package; answer no (your version is newer and natively supports prime).
Set up everything else (install the examples) like you want.
Copying the log from the tmp folder to your home folder is a good practice (there are pieces of advice concerning PATH etc…)
The installer will warn you that the installation is incomplete; this is because you have chosen not to install the driver; no worries!
When everything is done reboot (not sure if needed) and test if CUDA works (easy if you have installed nvidia samples!)
Note that I personally didn’t have to modify the PATH nor anything else to get CUDA working; you might need to follow the steps in the installation log to get CUDA working fine.
Compile an example:
cd NVIDIA_CUDA-5.5_Samples/1_Utilities/deviceQuery
make
./deviceQuery
Output example:
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "Quadro K3000M"
CUDA Driver Version / Runtime Version 6.0 / 5.5
CUDA Capability Major/Minor version number: 3.0
Total amount of global memory: 2048 MBytes (2147287040 bytes)
( 3) Multiprocessors, (192) CUDA Cores/MP: 576 CUDA Cores
GPU Clock rate: 654 MHz (0.65 GHz)
Memory Clock rate: 1400 Mhz
Memory Bus Width: 256-bit
L2 Cache Size: 524288 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.0, CUDA Runtime Version = 5.5, NumDevs = 1, Device0 = Quadro K3000M
Result = PASS
If someone managed to install and get CUDA 6 working with Ubuntu 14.04 (+ prime) please post detailed instructions here!
Success with installation of CUDA 6.5 using the `deb’ method specifically for Ubuntu 14.04, 64-bit (CUDA Toolkit 11.7 Update 1 Downloads | NVIDIA Developer) on to an Acer Aspire S3-392G (735M) Optimus laptop, installed the 340 driver (BTW this was done with legacy BIOS settings for secure boot).
The prime-select utility from the shell, followed by logout and login allows toggle between nvidia graphics and intel (verifed by looking at system info). However no option to toggle appear in the nvidia-settings utility.
In nvidia mode, I can verify the samples build and run, and can use nsight eclipse edition build and run the samples. However cannot yet debug a kernel (not had time to investigate).
Would like to use integrated intel graphics for display and nvidia for CUDA development (not interested in displaying graphics i do algorithms development). At the moment in intel graphics mode, queryDevice fails. Does anyone has a pointer on how to do this?
Had the issue: modprobe: ERROR: could not insert ‘nvidia_331_uvm’ myself and after re-installing cuda
i noticed the obvious fact that the PATH and LD_LIBRARY_PATH needs to include /usr/local/cuda7.0/bin and /usr/local/cuda7.0/lib64 respectively. So update to etc/environment resolved it. Basic error on my part but now the gpu is found…
If you’re using NVIDIA prime and it’s set to use the Intel GPU, then your video card has probably been disabled via bbswitch. Thus “no such device”. See the documentation on bbswitch for how to reenable it.
Then you should be able to load the NVIDIA module using modprobe, which will also create the device nodes.
So I just leave Prime in Intel mode, and manually turn the card back on and load the module when I need to do computations on the card. Kind of a hack, but it works.
For more information on what Prime actually does, see my askubuntu post:
