body p { margin-bottom: 0cm; margin-top: 0pt; }
This is somewhat convoluted, but you might achieve this with
gres.conf similar to
Name=gpu CPUs=0,1
Name=gpu CPUs=10,11
Name=cpu CPUs=2-9,12-19 count=16
and when submitting a job
sbatch --gres=gpu:1
Or
sbatch --gres=cpu:16
Or
sbatch --gres=gpu:2,cpu:4
In theory the last one would consume 6 cpus and 2 gpus.
I'm not near a cluster now, so this is pure guesswork.
On 04/15/2016 12:50 PM, Vladimir Goy
wrote:
Question from Vladivostok.
Dear Developers,
I study Slurm now. About two weeks I can not solve
the next problem: I need to separate Node (20 CPU +
2GPU) into 2 parts: Node0 -- 16 CPU, without GPU; Node2
-- 2GPU + 4CPU (it will be good, if it will be CPU
cores: 0,1, 10,11, for best affinity with GPU). Also I
need to make 2 partition: cpu, gpu. I would like run
single-process tasks in the partition gpu/cpu.
I use:
SchedulerType=sched/backfill
SelectType=select/cons_res
SelectTypeParameters=CR_CPU
GresTypes=gpu
and MaxCPUsPerNode in partition declaration. Jobs for
partition cpu runs well, for partition gpu -- bad. Only
1 job per node is available. The second jobs is pending,
while one GPU is free. I do not know, how to solve it.
Please, can You help me?
Best Regards, Vova.
