Hi,
I think you may be talking about setting the CUDA_VISIBLE_DEVICES
environment variable. For example, if you have two CUDA GPUs on your
system, they will by default be known as devices 0 and 1. To ensure
your next job runs on the 2nd device, you would (in bash) type:
export CUDA_VISIBLE_DEVICES=1
More details are on this page: http://ambermd.org/gpus/
-Dan
On Fri, Mar 1, 2013 at 6:42 AM, Baldoni Hector Armando
<hbaldoni.unsl.edu.ar> wrote:
> Dear Amber users,
>
> I want to know if anyone remembers which CUDA flag should be setup to
> prevent GPU overload, avoiding a second job execution in the same GPU.
>
> Many thank you.
>
> Hector.
>
> --
> ---------------------------------------
> Dr. Hector A. Baldoni
>
> Area de Quimica General e Inorganica (FQByF)
> Instituto de Matematica Aplicada San Luis (IMASL)
> Universidad Nacional de San Luis (UNSL)
> Chacabuco 917
> 5700 San Luis - Argentina
> hbaldoni.unsl.edu.ar
> ---------------------------------------
>
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--
-------------------------
Daniel R. Roe, PhD
Department of Medicinal Chemistry
University of Utah
30 South 2000 East, Room 201
Salt Lake City, UT 84112-5820
http://home.chpc.utah.edu/~cheatham/
(801) 587-9652
(801) 585-9119 (Fax)
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Received on Fri Mar 01 2013 - 07:00:02 PST
