[slurm-users] Unconfigured GPUs being allocated

Wilson, Steven M stevew at purdue.edu
Fri Jul 14 20:26:32 UTC 2023

I haven't seen anything that allows for disabling a defined Gres device. It does seem to work if I define the GPUs that I don't want to use and then specifically submit jobs to the other GPUs using --gpu like "--gpu=gpu:rtx_2080_ti:1". I suppose if I set the GPU Type to be "COMPUTE" for the GPUs I want to use for computing and "UNUSED" for those that I don't, this scheme might work (e.g., --gpu=gpu:COMPUTE:3). But then every job submission would be required to have this option set. Not a very workable solution.

From: slurm-users <slurm-users-bounces at lists.schedmd.com> on behalf of Feng Zhang <prod.feng at gmail.com>
Sent: Friday, July 14, 2023 3:09 PM
To: Slurm User Community List <slurm-users at lists.schedmd.com>
Subject: Re: [slurm-users] Unconfigured GPUs being allocated

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Very interesting issue.

I am guessing there might be a workaround: SInce oryx has 2 gpus
instead, you can define both of them, but disable the GT 710? Does
Slurm support this?





On Tue, Jun 27, 2023 at 9:54 AM Wilson, Steven M <stevew at purdue.edu> wrote:
> Hi,
> I manually configure the GPUs in our Slurm configuration (AutoDetect=off in gres.conf) and everything works fine when all the GPUs in a node are configured in gres.conf and available to Slurm.  But we have some nodes where a GPU is reserved for running the display and is specifically not configured in gres.conf.  In these cases, Slurm includes this unconfigured GPU and makes it available to Slurm jobs.  Using a simple Slurm job that executes "nvidia-smi -L", it will display the unconfigured GPU along with as many configured GPUs as requested by the job.
> For example, in a node configured with this line in slurm.conf:
>     NodeName=oryx CoreSpecCount=2 CPUs=8 RealMemory=64000 Gres=gpu:RTX2080TI:1
> and this line in gres.conf:
>     Nodename=oryx Name=gpu Type=RTX2080TI File=/dev/nvidia1
> I will get the following results from a job running "nvidia-smi -L" that requested a single GPU:
>     GPU 0: NVIDIA GeForce GT 710 (UUID: GPU-21fe15f0-d8b9-b39e-8ada-8c1c8fba8a1e)
>     GPU 1: NVIDIA GeForce RTX 2080 Ti (UUID: GPU-0dc4da58-5026-6173-1156-c4559a268bf5)
> But in another node that has all GPUs configured in Slurm like this in slurm.conf:
>     NodeName=beluga CoreSpecCount=1 CPUs=16 RealMemory=128500 Gres=gpu:TITANX:2
> and this line in gres.conf:
>     Nodename=beluga Name=gpu Type=TITANX File=/dev/nvidia[0-1]
> I get the expected results from the job running "nvidia-smi -L" that requested a single GPU:
>     GPU 0: NVIDIA RTX A5500 (UUID: GPU-3754c069-799e-2027-9fbb-ff90e2e8e459)
> I'm running Slurm 22.05.5.
> Thanks in advance for any suggestions to help correct this problem!
> Steve

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