Vincent, This should be possible – you may have to tell the application what GPU you would like it to use by setting an environment variable. I run on a machine with four GPUs and can individually select which one I want to use by calling ‘CUDA_VISIBLE_DEVICES=0 rtkfdk ...’ or ‘CUDA_VISIBLE_DEVICES=1 rtkfdk …’ which exposes the target GPU to the running application. This is a very manual, command line approach, however the CUDA_VISIBLE_DEVICES variable can also be set to a unique value for each user in their respective user profile (e.g. setting ‘CUDA_VISIBLE_DEVICES=1’ for USER1 in ~/.bashrc on a Linux machine). This second approach makes it so that each user has a dedicated GPU at their disposal whenever they need it.
Hope this helps. — Matt __ Matthew J. Riblett Virginia Commonwealth University Department of Radiation Oncology Medical Physics Graduate Program Office: Sanger Hall, Room B1-013 401 College Street | P.O. Box 980058 Richmond, Virginia 23298 > On Feb 9, 2018, at 9:07 AM, Vincent Libertiaux <v...@xris.eu> wrote: > > Hello Simon, > > hello everyone. > > I have a computer that I would like to use as a CT reconstruction server for > several users, let's say 3. I was wondering if it is possible to run 3 > simultaneous reconstructions with RTK, one on each GPU ? > > I thank you very much in advance for any answer or clue. > > Best regards, > > Vincent > > > _______________________________________________ > Rtk-users mailing list > Rtk-users@public.kitware.com > https://public.kitware.com/mailman/listinfo/rtk-users
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