[gmx-users] no CUDA-capable device is detected
Szilárd Páll
szilard.pall at cbr.su.se
Fri Mar 29 00:11:17 CET 2013
Hi,
I'm glad that it got figured out. For all those who might be wondering what
exactly are you referring to here is a quick summary.
The NVIDIA driver needs /dev entries to be present for the GPU devices in
use and these entries need the right permissions in order to allow
user-space programs to access the devices (and the lack of permission was
causing trouble in the above case). These entries are automatically created
by the X server and the driver kernel module is also loaded when X starts.
However, when using a headless (i.e server/without X) installation, what's
otherwise automatically done by when X starts needs to be done manually. It
is easiest to do it using an init script (or equivalent).
For an example here's the init script I use on Ubuntu machines:
http://pastebin.com/zs9Ve9qP. It works for me well, but use it at your own
risk ;)
Cheers,
--
Szilárd
On Thu, Mar 28, 2013 at 12:03 PM, Chandan Choudhury <iitdckc at gmail.com>wrote:
> Hi !!
>
> I problem with the permission of /dev/nvidia*
>
> changed it to 0666 /dev/nvidia*
>
> Everything resolved. mdrun can be executed as normal user.
>
> Thanks everyone.
>
> Chandan
>
>
>
>
> --
> Chandan kumar Choudhury
> NCL, Pune
> INDIA
>
>
> On Thu, Mar 28, 2013 at 4:26 PM, Chandan Choudhury <iitdckc at gmail.com
> >wrote:
>
> >
> > On Thu, Mar 28, 2013 at 4:09 PM, Szilárd Páll <szilard.pall at cbr.su.se
> >wrote:
> >
> >> Hi,
> >>
> >> If mdrun says that it could not detect GPUs it simply means that the GPU
> >> enumeration found no GPUs, otherwise it would have printed what was
> found.
> >> This is rather strange because mdrun uses the same mechanism the
> >> deviceQuery SDK example. I really don't have a good idea what could be
> the
> >> issue, but you could try recompiling or compiling with CUDA 4.2 to see
> if
> >> any of that makes a difference.
> >>
> >> Let us know if you figured out something.
> >>
> >> Cheers,
> >>
> >
> > Thanks Szilárd for the eye opening comment.
> >
> > I just tried running gromacs as root. I recalled I had executed
> > deviceQuery as root. While executing as user it produces the same error :
> >
> > */root/NVIDIA_CUDA-5.0_Samples/1_Utilities/deviceQuery/deviceQuery
> > Starting...
> >
> > CUDA Device Query (Runtime API) version (CUDART static linking)
> >
> > cudaGetDeviceCount returned 38
> > -> no CUDA-capable device is detected*
> >
> > Now, running gromacs as root, it is running successfully (I suppose).
> >
> > Output of nvidia-smi
> >
> >
> > +------------------------------------------------------+
> >
> > | NVIDIA-SMI 4.310.40 Driver Version: 310.40
> > |
> >
> >
> |-------------------------------+----------------------+----------------------+
> > | GPU Name | Bus-Id Disp. | Volatile Uncorr.
> > ECC |
> > | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util
> Compute
> > M. |
> >
> >
> |===============================+======================+======================|
> > | 0 NVS 300 | 0000:03:00.0 N/A |
> > N/A |
> > | N/A 48C N/A N/A / N/A | 3% 17MB / 511MB | N/A
> > Default |
> >
> >
> >
> +-------------------------------+----------------------+----------------------+
> > | 1 Tesla K20c | 0000:04:00.0 Off |
> > Off |
> > | 50% 62C P0 106W / 225W | 2% 87MB / 5119MB | 76%
> > Default |
> >
> >
> >
> +-------------------------------+----------------------+----------------------+
> >
> >
> >
> >
> +-----------------------------------------------------------------------------+
> > | Compute processes: GPU
> > Memory |
> > | GPU PID Process name
> > Usage |
> >
> >
> |=============================================================================|
> > | 0 Not
> > Supported |
> > | 1 9127 mdrun_461
> > 72MB |
> >
> >
> +-----------------------------------------------------------------------------+
> >
> > Output of md.log
> >
> > 2 GPUs detected:
> > #0: NVIDIA Tesla K20c, compute cap.: 3.5, ECC: no, stat: compatible
> > #1: NVIDIA NVS 300, compute cap.: 1.2, ECC: no, stat: incompatible
> >
> > 1 GPU auto-selected for this run: #0
> >
> >
> > I think there is something relate to permissions. Though nvcc has 755
> > permission, something else might require additional permissions.
> >
> > Chandan
> >
> >
> >> --
> >> Szilárd
> >>
> >>
> >> On Thu, Mar 28, 2013 at 2:39 AM, Berk Hess <gmx3 at hotmail.com> wrote:
> >>
> >> >
> >> > Hi,
> >> >
> >> > I am not the expert on GPU detection, so we'll need to wait until an
> >> > expert replies.
> >> > Maybe GPU 0 is ignored and the GPUs are renumbered, could you try:
> >> > mdrun -ntmpi 1 -gpu_id 0
> >> >
> >> > Also your tpr file is from an older version. It will not run on a GPU.
> >> > You need to set the mdp option:
> >> > cutoff-scheme = Verlet
> >> > and run grompp to get a new tpr file.
> >> >
> >> > Cheers,
> >> >
> >> > Berk
> >> >
> >> > > From: iitdckc at gmail.com
> >> > > Date: Thu, 28 Mar 2013 14:57:16 +0530
> >> > > Subject: Re: [gmx-users] no CUDA-capable device is detected
> >> > > To: gmx-users at gromacs.org
> >> > >
> >> > > On Thu, Mar 28, 2013 at 2:41 PM, Berk Hess <gmx3 at hotmail.com>
> wrote:
> >> > >
> >> > > >
> >> > > > Hi,
> >> > > >
> >> > > > The code compiled, so the compiler is not the issue.
> >> > > >
> >> > > > I guess mdrun picked up GPU 0, which it should have ignored. You
> >> only
> >> > want
> >> > > > to use GPU 1.
> >> > > >
> >> > > > Could you try running:
> >> > > > mdrun -ntmpi 1 -gpu_id 1
> >> > > >
> >> > >
> >> > > $mdrun_461 -ntmpi 1 -gpu_id 1 -s md0-25.tpr
> >> > > Note: file tpx version 73, software tpx version 83
> >> > >
> >> > > NOTE: Error occurred during GPU detection:
> >> > > no CUDA-capable device is detected
> >> > > Can not use GPU acceleration, will fall back to CPU kernels.
> >> > >
> >> > >
> >> > > No GPUs detected
> >> > >
> >> > >
> >> > > -------------------------------------------------------
> >> > > Program mdrun_461, VERSION 4.6.1
> >> > > Source code file:
> >> > > /home/sudip/RPMs/gromacs-4.6.1/src/gmxlib/gmx_detect_hardware.c,
> line:
> >> > 580
> >> > >
> >> > > Fatal error:
> >> > > Some of the requested GPUs do not exist, behave strangely, or are
> not
> >> > > compatible:
> >> > > GPU #1: inexistent
> >> > >
> >> > > >
> >> > > > Cheers,
> >> > > >
> >> > > > berk
> >> > > >
> >> > > > > Date: Thu, 28 Mar 2013 10:51:58 +0200
> >> > > > > Subject: Re: [gmx-users] no CUDA-capable device is detected
> >> > > > > From: gpat at bioacademy.gr
> >> > > > > To: gmx-users at gromacs.org
> >> > > > >
> >> > > > > Hi Chandan
> >> > > > >
> >> > > > > Are you using the same version of GCC compiler that you used to
> >> > compile
> >> > > > > CUDA 5.0? In my hands, gcc 4.7.2 could not compile CUDA 5.0 (I
> >> think
> >> > > > there
> >> > > > > was some kind of incompatibility between the two).
> >> > > >
> >> > >
> >> > > There is an work around with gcc 4.7.2. Please see
> >> > >
> >> >
> >>
> http://svshift.blogspot.in/2013/03/running-nvidai-cuda-sdk-50-on-opensuse.html
> >> > >
> >> > > >
> >> > > > > Can you try compiling both CUDA 5.0 and GROMACS with gcc 4.6.1?
> >> This
> >> > > > > worked in my system (MacOS/Darwin).
> >> > > > >
> >> > > > > Just make sure to set the variables CC and CXX to point to the
> >> right
> >> > > > > compiler version when you run cmake.
> >> > > > >
> >> > > > > George
> >> > > > >
> >> > > > >
> >> > > > > > Dear GMX Users,
> >> > > > > >
> >> > > > > > I am trying to execute Gromacs 4.6.1 on one of the GPU server:
> >> > > > > > *OS*: OpenSuse 12.3 x86_64 3.7.10-1.1-desktop (Kernel Release)
> >> > > > > > *gcc*: 4.7.2
> >> > > > > >
> >> > > > > > CUDA Library paths
> >> > > > > > #CUDA-5.0
> >> > > > > > export CUDA_HOME=/usr/local/cuda-5.0
> >> > > > > > export PATH=$CUDA_HOME/bin:$PATH
> >> > > > > > export LD_LIBRARY_PATH=$CUDA_HOME/lib64:/lib:$LD_LIBRARY_PATH
> >> > > > > >
> >> > > > > > The gromacs has been compiled with
> >> > > > > >
> >> > > > > >
> >> CMAKE_PREFIX_PATH=/opt/apps/fftw-3.3.3/single:/usr/local/cuda-5.0
> >> > > > cmake ..
> >> > > > > > -DGMX_GPU=ON
> -DCMAKE_INSTALL_PREFIX=/opt/apps/gromacs/461/single
> >> > > > > > -DGMX_DEFAULT_SUFFIX=OFF -DGMX_BINARY_SUFFIX=_461
> >> > > > -DGMX_LIBS_SUFFIX=_461
> >> > > > > > -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda
> >> > > > > >
> >> > > > > > *Error on executing mdrun
> >> > > > > > *
> >> > > > > > *
> >> > > > > > *
> >> > > > > > *NOTE: Error occurred during GPU detection:
> >> > > > > > no CUDA-capable device is detected
> >> > > > > > Can not use GPU acceleration, will fall back to CPU kernels.
> >> > > > > >
> >> > > > > >
> >> > > > > > Will use 24 particle-particle and 8 PME only nodes
> >> > > > > > This is a guess, check the performance at the end of the log
> >> file
> >> > > > > > Using 32 MPI threads
> >> > > > > >
> >> > > > > > No GPUs detected
> >> > > > > >
> >> > > > > > *I checked my cuda installation. I am able to compile and
> >> execute
> >> > the
> >> > > > > > sample programmes e.g., deviceQuery.
> >> > > > > >
> >> > > > > > Also executed *nvidia-smi *:
> >> > > > > > +------------------------------------------------------+
> >> > > > > > | NVIDIA-SMI 4.310.40 Driver Version: 310.40 |
> >> > > > > >
> >> > > >
> >> >
> >>
> |-------------------------------+----------------------+----------------------+
> >> > > > > > | GPU Name | Bus-Id Disp. | Volatile Uncorr. ECC |
> >> > > > > > | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute
> >> M. |
> >> > > > > >
> >> > > >
> >> >
> >>
> |===============================+======================+======================|
> >> > > > > > | 0 NVS 300 | 0000:03:00.0 N/A | N/A |
> >> > > > > > | N/A 49C N/A N/A / N/A | 3% 16MB / 511MB | N/A Default |
> >> > > > > >
> >> > > >
> >> >
> >>
> +-------------------------------+----------------------+----------------------+
> >> > > > > > | 1 Tesla K20c | 0000:04:00.0 Off | Off |
> >> > > > > > | 30% 38C P8 16W / 225W | 0% 13MB / 5119MB | 0% Default |
> >> > > > > >
> >> > > >
> >> >
> >>
> +-------------------------------+----------------------+----------------------+
> >> > > > > >
> >> > > > > >
> >> > > >
> >> >
> >>
> +-----------------------------------------------------------------------------+
> >> > > > > > | Compute processes: GPU Memory |
> >> > > > > > | GPU PID Process name Usage |
> >> > > > > >
> >> > > >
> >> >
> >>
> |=============================================================================|
> >> > > > > > | 0 Not Supported |
> >> > > > > >
> >> > > >
> >> >
> >>
> +-----------------------------------------------------------------------------+
> >> > > > > >
> >> > > > > > What am I missing that Gromacs is not detecting the GPUs.
> >> > > > > >
> >> > > > > > Chandan
> >> > > > > >
> >> > > > > > --
> >> > > > > > Chandan kumar Choudhury
> >> > > > > > NCL, Pune
> >> > > > > > INDIA
> >> > > > > > --
> >> > > > > > gmx-users mailing list gmx-users at gromacs.org
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> >> > > > > >
> >> > > > >
> >> > > > >
> >> > > > > Dr. George Patargias
> >> > > > > Postdoctoral Researcher
> >> > > > > Biomedical Research Foundation
> >> > > > > Academy of Athens
> >> > > > > 4, Soranou Ephessiou
> >> > > > > 115 27
> >> > > > > Athens
> >> > > > > Greece
> >> > > > >
> >> > > > > Office: +302106597568
> >> > > > >
> >> > > > > --
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> >> > >
> >> > >
> >> > >
> >> > > --
> >> > > Chandan kumar Choudhury
> >> > > NCL, Pune
> >> > > INDIA
> >> > > --
> >> > > gmx-users mailing list gmx-users at gromacs.org
> >> > > http://lists.gromacs.org/mailman/listinfo/gmx-users
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> >
> >
> > --
> > Chandan kumar Choudhury
> > NCL, Pune
> > INDIA
> >
> --
> gmx-users mailing list gmx-users at gromacs.org
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