Hi, Running separate ranks on different GPUs can be done in two ways:
1. adding a section: [backend-cuda] device-id = local rank see: http://www.pyfr.org/user_guide.php for more details 2. running nvidia-smi -c 1 as root. This will enforce one compute process per card. 3. To flood all GPUs/ increase the load, you can simply increase the polynomial order for the solution polynomial and/or add suitable anti-aliasing in any test case. Regards Arvind On Tue, Feb 28, 2017 at 6:15 AM, Robert Sawko <[email protected]> wrote: > Dear All, > > I just installed PyFR on our GPU cluster - what a breeze. I can run your > examples and tutorials with CUDA backend and I can see them being offloaded > to the GPU. Metis also appears to cooperate. > > My question is how to configure multiple GPUs on a single node. Is there a > way to make sure that say four processes will run on four different GPUs > exclusively? > > Also, would be possible to share a larger case as an example to actually > flood the GPUs with work. I am more than willing to give PyFR a try but it > will take a while for me to develop case setting skills. > > Many thanks, > Robert > > -- > You received this message because you are subscribed to the Google Groups > "PyFR Mailing List" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at https://groups.google.com/group/pyfrmailinglist. > For more options, visit https://groups.google.com/d/optout. > -- ================================ Dr. Iyer Arvind Sundaram The reasonable man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore all progress depends on the unreasonable man - George Bernard Shaw. -- You received this message because you are subscribed to the Google Groups "PyFR Mailing List" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send an email to [email protected]. Visit this group at https://groups.google.com/group/pyfrmailinglist. For more options, visit https://groups.google.com/d/optout.
