[gmx-users] Working on a GPU cluster with GROMACS 5
Ebert Maximilian
m.ebert at umontreal.ca
Wed Jan 7 15:06:57 CET 2015
Hi Jiri,
Yes this seems to be the problem. Thank you very much. The GPUs on this cluster are in the exclusive thread mode. I will ask the administrator if we can change this.
Thank you very much!
Max
-----Ursprüngliche Nachricht-----
Von: gromacs.org_gmx-users-bounces at maillist.sys.kth.se [mailto:gromacs.org_gmx-users-bounces at maillist.sys.kth.se] Im Auftrag von Jiri Kraus
Gesendet: Mittwoch, 7. Januar 2015 14:58
An: gromacs.org_gmx-users at maillist.sys.kth.se
Betreff: Re: [gmx-users] Working on a GPU cluster with GROMACS 5
Hi Max,
In which compute mode are the GPUs running? Do be able to share a GPU between multiple MPI ranks you either need to use the multi process service (MPS see: [1]) or let the GPUs run in default compute mode (see [2]). You can query the compute mode with nvidia-smi -q -d COMPUTE (see example output below) and change it with nvidia-smi -c DEFAULT. Changing the compute mode requires root.
Hope this helps
Jiri
[1] https://docs.nvidia.com/deploy/pdf/CUDA_Multi_Process_Service_Overview.pdf
[2] http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#compute-modes
Example output of nvidia-smi -q -d COMPUTE:
==============NVSMI LOG==============
Timestamp : Wed Jan 7 05:51:31 2015
Driver Version : 340.32
Attached GPUs : 6
GPU 0000:04:00.0
Compute Mode : Default
GPU 0000:05:00.0
Compute Mode : Default
GPU 0000:08:00.0
Compute Mode : Default
GPU 0000:09:00.0
Compute Mode : Default
GPU 0000:83:00.0
Compute Mode : Default
GPU 0000:84:00.0
Compute Mode : Default
> Message: 5
> Date: Wed, 7 Jan 2015 13:42:46 +0000
> From: Ebert Maximilian <m.ebert at umontreal.ca>
> To: "gmx-users at gromacs.org" <gmx-users at gromacs.org>
> Subject: Re: [gmx-users] Working on a GPU cluster with GROMACS 5
> Message-ID:
> <CAE65A26CFD123408751DCA75C2BA164255E0839 at athens-
> cour.sim.umontreal.ca>
>
> Content-Type: text/plain; charset="iso-8859-1"
>
> Hi Carsten,
>
> thanks again for your reply. The why our cluster is setup is that you
> ask for GPUs using the ppn command and not CPUs. Therefore, I put 4
> there. But to rule out the possibility that someone is actually using
> the note I called for 7 GPUs (so the entire note) but with GPU id just assign the first 4 to GROMACS.
> I still get the same error. I also tried -gpu_id 00 or -gpu_id 4444 to
> change the CPU and to only use a single GPU but I always get:
>
> NOTE: You assigned GPUs to multiple MPI processes.
>
> -------------------------------------------------------
> Program gmx_mpi, VERSION 5.0.1
> Source code file: /RQusagers/rqchpbib/stubbsda/gromacs-
> 5.0.1/src/gromacs/gmxlib/cuda_tools/pmalloc_cuda.cu, line: 61
>
> Fatal error:
> cudaMallocHost of size 4 bytes failed: all CUDA-capable devices are
> busy or unavailable
>
> For more information and tips for troubleshooting, please check the
> GROMACS website at http://www.gromacs.org/Documentation/Errors
> -------------------------------------------------------
>
> Error on rank 1, will try to stop all ranks Halting parallel program
> gmx_mpi on CPU 1 out of 4
>
> -----Urspr?ngliche Nachricht-----
> Von: gromacs.org_gmx-users-bounces at maillist.sys.kth.se
> [mailto:gromacs.org_gmx-users-bounces at maillist.sys.kth.se] Im Auftrag
> von Carsten Kutzner
> Gesendet: Mittwoch, 7. Januar 2015 14:13
> An: gmx-users at gromacs.org
> Betreff: Re: [gmx-users] Working on a GPU cluster with GROMACS 5
>
> Hi Max,
>
> On 07 Jan 2015, at 11:36, Ebert Maximilian <m.ebert at umontreal.ca> wrote:
>
> > Hi Carsten,
> >
> > thanks for your answer. I tried what you described and it is
> > basically
> working except for letting multiple MPI workers use one GPU. In my
> setup I use 4 GPUs with 8 MPI workers and hence 8 CPUs and OpenMP 1.
> This is how I start GROMACS:
> >
> > mpirun -np 8 gmx_mpi mdrun -gpu_id 00112233 -v -x -deffnm run1ns -s
> > ../run1ns.tpr
> >
> > and I submit this using:
> >
> > qsub -q @test -lnodes=1:ppn=4 -lwalltime=1:00:00 gromacs_run_gpu
> why are you using ppn=4? Shouldn't that be 8?
>
> >
> > Now I get the following errors (the output is longer but to keep it
> > shorter I
> omitted the rest):
> >
> > Using 8 MPI processes
> > Using 1 OpenMP thread per MPI process
> >
> > 7 GPUs detected on host ngpu-a4-06:
> > #0: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> > compatible
> > #1: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> > compatible
> > #2: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> > compatible
> > #3: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> > compatible
> > #4: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> > compatible
> > #5: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> > compatible
> > #6: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> > compatible
> >
> > 4 GPUs user-selected for this run.
> > Mapping of GPUs to the 8 PP ranks in this node: #0, #0, #1, #1, #2,
> > #2, #3, #3
> >
> > NOTE: You assigned GPUs to multiple MPI processes.
> >
> > -------------------------------------------------------
> > Program gmx_mpi, VERSION 5.0.1
> > Source code file:
> > /RQusagers/rqchpbib/stubbsda/gromacs-
> 5.0.1/src/gromacs/gmxlib/cuda_too
> > ls/pmalloc_cuda.cu, line: 61
> >
> > Fatal error:
> > cudaMallocHost of size 4 bytes failed: all CUDA-capable devices are
> > busy or unavailable
> >
> Could it be that someone else's processes are running on that node
> while Gromacs tries to use the GPUs? Maybe try to the the whole node,
> maybe even in interactive mode to play around.
>
> Carsten
>
> > For more information and tips for troubleshooting, please check the
> > GROMACS website at http://www.gromacs.org/Documentation/Errors
> > -------------------------------------------------------
> >
> > Error on rank 1, will try to stop all ranks Halting parallel program
> > gmx_mpi on CPU 1 out of 8
> >
> > -------------------------------------------------------
> > Program gmx_mpi, VERSION 5.0.1
> > Source code file:
> > /RQusagers/rqchpbib/stubbsda/gromacs-
> 5.0.1/src/gromacs/gmxlib/cuda_too
> > ls/pmalloc_cuda.cu, line: 61
> >
> > Fatal error:
> > cudaMallocHost of size 4 bytes failed: all CUDA-capable devices are
> > busy or unavailable
> >
> > For more information and tips for troubleshooting, please check the
> > GROMACS website at http://www.gromacs.org/Documentation/Errors
> > -------------------------------------------------------
> >
> > Error on rank 3, will try to stop all ranks Halting parallel program
> > gmx_mpi on CPU 3 out of 8
> >
> > -----Urspr?ngliche Nachricht-----
> > Von: gromacs.org_gmx-users-bounces at maillist.sys.kth.se
> > [mailto:gromacs.org_gmx-users-bounces at maillist.sys.kth.se] Im
> > Auftrag von Carsten Kutzner
> > Gesendet: Donnerstag, 18. Dezember 2014 17:27
> > An: gmx-users at gromacs.org
> > Betreff: Re: [gmx-users] Working on a GPU cluster with GROMACS 5
> >
> > Hi Max,
> >
> > On 18 Dec 2014, at 15:30, Ebert Maximilian <m.ebert at umontreal.ca>
> wrote:
> >
> >> Dear list,
> >>
> >> I am benchmarking my system on a GPU cluster with 6 GPU's and two
> quad core CPUs for each node. First I am wondering if there is any
> output which confirms how many CPUs and GPUs were used during the run?
> I find the output for GPUs in the log file but only for a single node.
> When I use multiple nodes why don't the other nodes show up in the log file as hosts?
> For instance in this example I used two nodes and claimed 4 GPUs each
> but got this in my log file:
> >>
> >> 6 GPUs detected on host ngpu-a4-01:
> >> #0: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> >> compatible
> >> #1: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> >> compatible
> >> #2: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> >> compatible
> >> #3: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> >> compatible
> >> #4: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> >> compatible
> >> #5: NVIDIA GeForce GTX 580, compute cap.: 2.0, ECC: no, stat:
> >> compatible
> >>
> >> 4 GPUs auto-selected for this run.
> >> Mapping of GPUs to the 4 PP ranks in this node: #0, #1, #2, #3
> > This will be the same across all nodes. Gromacs will refuse to run
> > if there
> are not enough GPUs on any of your other nodes.
> >
> >>
> >>
> >>
> >> ngpu-a4-02 is not shown here. Any idea? The job was submitted in
> >> the
> following way:
> >>
> >> qsub -q @test -lnodes=2:ppn=4 -lwalltime=1:00:00 gromacs_run_gpu
> >>
> >> and the gromacs_run_gpu file:
> >>
> >> #!/bin/csh
> >> #
> >>
> >> #PBS -o result_run10ns96-8.dat
> >> #PBS -j oe
> >> #PBS -W umask=022
> >> #PBS -r n
> >>
> >> cd 8_gpu
> >>
> >> module add CUDA
> >> module load gromacs/5.0.1-gpu
> >>
> >> mpirun gmx_mpi mdrun -v -x -deffnm 10ns_rep1-8GPU
> >>
> >>
> >> Another question I had was how can I define the number of CPUs and
> check if they were really used?
> > Use -ntomp to control how many OpenMP threads each of your MPI
> processes will have.
> > This way you can make use of all cores you have on each node.
> >
> >> I can't find any information about the number of CPUs in the log file.
> > Look for
> > "Using . MPI processes"
> > "Using . OpenMP threads per MPI process"
> > in the log file.
> >
> >> I would also like to try combinations like 4 CPUs + 1 GPU
> > You can use the -gpu_id switch to supply a list of eligible GPUs
> > (see mdrun -
> h).
> > If you just want to use the first GPU on you node with, e.g. 4 MPI
> processes, use -gpu_id 0000.
> >
> > Best,
> > Carsten
> >
> >
> >
> >> or 2 CPUs + 2 GPU. How do I set this up?
> >>
> >> Thank you very much for your help,
> >>
> >> Max
> >>
> >> --
> >> Gromacs Users mailing list
> >>
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> >
> >
> > --
> > Dr. Carsten Kutzner
> > Max Planck Institute for Biophysical Chemistry Theoretical and
> > Computational Biophysics Am Fassberg 11, 37077 Goettingen, Germany
> > Tel. +49-551-2012313, Fax: +49-551-2012302
> > http://www.mpibpc.mpg.de/grubmueller/kutzner
> > http://www.mpibpc.mpg.de/grubmueller/sppexa
> >
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> --
> Dr. Carsten Kutzner
> Max Planck Institute for Biophysical Chemistry Theoretical and
> Computational Biophysics Am Fassberg 11, 37077 Goettingen, Germany Tel.
> +49-551-2012313, Fax: +49-551-2012302
> http://www.mpibpc.mpg.de/grubmueller/kutzner
> http://www.mpibpc.mpg.de/grubmueller/sppexa
>
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