Hi Simone,

I ran into the same issue in the past.
You need to set environment variable CUDA_VISIBLE_DEVICES to only contain
the device you want to submit the recon-all to.
eg. export CUDA_VISIBLE_DEVICES=0 ;recon-all -s ... -i ......
You have to balance yourself between the GPU available.

Basile

On Wed, Dec 21, 2016 at 9:48 AM, simone coscetti <simone.cosce...@pi.infn.it
> wrote:

> Hello FreeSurfer Developers,
>
> I’m attempting to make some performances evaluation on recon-all using
> GPUs on a node with 4 nVidia K80.
> Submitting different instances of recon-all on 8 different subjects, every
> instance run on the same device (#0), compromising the efficiency of the
> test.
> Is there a way to address different instances on different devices?
> Thank you in advance.
>
> FreeSurfer version: freesurfer-Linux-centos6_x86_
> 64-stable-pub-v5.3.0.tar.gz
> cudawn9:~ # cat /etc/SuSE-release
> SUSE Linux Enterprise Server 11 (x86_64)
> VERSION = 11
> PATCHLEVEL = 4
> cudawn9:~ # uname -a
> Linux cudawn9 3.0.101-63-default #1 SMP Tue Jun 23 16:02:31 UTC 2015
> (4b89d0c) x86_64 x86_64 x86_64 GNU/Linux
>
> Simone
>
>
>
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-- 
Basile Pinsard

*PhD candidate, *
Laboratoire d'Imagerie Biomédicale, UMR S 1146 / UMR 7371, Sorbonne
Universités, UPMC, INSERM, CNRS
*Brain-Cognition-Behaviour Doctoral School **, *ED3C*, *UPMC, Sorbonne
Universités
Biomedical Sciences Doctoral School, Faculty of Medicine, Université de
Montréal
CRIUGM, Université de Montréal
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