Yes, I noticed this changed behavior too since v22 (testing v24 now)
The gres definitions in gres.conf are ignored but must be in slurm.conf
My gres.conf file now only has
NodeName=n[79-90] AutoDetect=nvml
-Henk ________________________________ From: Benjamin Smith via slurm-users slurm-users@lists.schedmd.com Sent: Wednesday, November 13, 2024 11:31 AM To: Slurm User Community List slurm-users@lists.schedmd.com Subject: [External] [slurm-users] Re: First setup of slurm with a GPU node
Hi Patrick,
You're missing a Gres= on your node in your slurm.conf:
Nodename=tenibre-gpu-0 RealMemory=257270 Sockets=2 CoresPerSocket=16 ThreadsPerCore=1 State=UNKNOWN Gres=gpu:A100-40:1,gpu:A100-80:1
Ben
On 13/11/2024 16:00, Patrick Begou via slurm-users wrote: This email was sent to you by someone outside the University. You should only click on links or attachments if you are certain that the email is genuine and the content is safe. Le 13/11/2024 à 15:45, Roberto Polverelli Monti via slurm-users a écrit : Hello Patrick,
On 11/13/24 12:01 PM, Patrick Begou via slurm-users wrote: As using this GPU resource increase I would like to manage this resource with Gres to avoid usage conflict. But at this time my setup do not works as I can reach a GPU without reserving it:
srun -n 1 -p tenibre-gpu ./a.out
can use a GPU even if the reservation do not specify this resource (checked with running nvidia-smi on the node). "tenibre-gpu" is a slurm partition with only this gpu node.
I think what you're looking for is the ConstrainDevices parameter in cgroup.conf.
See here: - https://slurm.schedmd.com/archive/slurm-20.11.7/cgroup.conf.html
Best,
Hi Roberto,
thanks for pointing to this parameter. I set it, update all the nodes, restart slurmd everywhere but it does not change the behavior. However, when looking in the slurmd log on the GPU node I notice this information:
[2024-11-13T16:41:08.434] debug: CPUs:32 Boards:1 Sockets:8 CoresPerSocket:4 ThreadsPerCore:1 [2024-11-13T16:41:08.434] debug: gres/gpu: init: loaded [2024-11-13T16:41:08.434] WARNING: A line in gres.conf for GRES gpu:A100-40 has 1 more configured than expected in slurm.conf. Ignoring extra GRES. [2024-11-13T16:41:08.434] WARNING: A line in gres.conf for GRES gpu:A100-80 has 1 more configured than expected in slurm.conf. Ignoring extra GRES. [2024-11-13T16:41:08.434] debug: gpu/generic: init: init: GPU Generic plugin loaded [2024-11-13T16:41:08.434] topology/none: init: topology NONE plugin loaded [2024-11-13T16:41:08.434] route/default: init: route default plugin loaded [2024-11-13T16:41:08.434] CPU frequency setting not configured for this node [2024-11-13T16:41:08.434] debug: Resource spec: No specialized cores configured by default on this node [2024-11-13T16:41:08.434] debug: Resource spec: Reserved system memory limit not configured for this node [2024-11-13T16:41:08.434] debug: Reading cgroup.conf file /etc/slurm/cgroup.conf [2024-11-13T16:41:08.434] error: MaxSwapPercent value (0.0%) is not a valid number [2024-11-13T16:41:08.436] debug: task/cgroup: init: core enforcement enabled [2024-11-13T16:41:08.437] debug: task/cgroup: task_cgroup_memory_init: task/cgroup/memory: total:257281M allowed:100%(enforced), swap:0%(enforced), max:100%(257281M) max+swap:100%(514562M) min:30M kmem:100%(257281M permissive) min:30M swappiness:0(unset) [2024-11-13T16:41:08.437] debug: task/cgroup: init: memory enforcement enabled [2024-11-13T16:41:08.438] debug: task/cgroup: task_cgroup_devices_init: unable to open /etc/slurm/cgroup_allowed_devices_file.conf: No such file or directory [2024-11-13T16:41:08.438] debug: task/cgroup: init: device enforcement enabled [2024-11-13T16:41:08.438] debug: task/cgroup: init: task/cgroup: loaded [2024-11-13T16:41:08.438] debug: auth/munge: init: Munge authentication plugin loaded
So something is wrong in may gres.conf file I think as I ttry do configure 2 different devices on the node may be?
## GPU setup on tenibre-gpu-0 NodeName=tenibre-gpu-0 Name=gpu Type=A100-40 File=/dev/nvidia0 Flags=nvidia_gpu_env NodeName=tenibre-gpu-0 Name=gpu Type=A100-80 File=/dev/nvidia1 Flags=nvidia_gpu_env
Patrick
-- Benjamin Smith bsmith5@ed.ac.ukmailto:bsmith5@ed.ac.uk Computing Officer, AT-7.12a Research and Teaching Unit School of Informatics, University of Edinburgh
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