I'm not entirely sure, and I can't vouch for differences in a (relatively) older version of slurm.... But I'm pretty sure on our cluster, we have to specify the GRES in the partition in order for Slurm to treat them as allocatable resources. On our interactive nodes, we have GPUs but we don't list them as a GRES in the partition, which lets anyone on those nodes use them. On our other partitions, we do specify the GRES, and that prevents a user from accessing them unless they specify --gres.
Rob ________________________________ From: Jacob Gordon via slurm-users <slurm-users@lists.schedmd.com> Sent: Friday, January 3, 2025 11:32 AM To: slurm-users@lists.schedmd.com <slurm-users@lists.schedmd.com> Subject: [slurm-users] All GPUs are Usable if no Gres is Defined Hello, We have a two node GPU cluster with 8 NVidia GPUs. GRES is currently configured and works if a user defines it within their sbtach/interactive job submission (--gres=gpu:3). Users only have access to the GPUs they request. However, when they omit “--gres=gpu:n”, they can use every GPU, which interferes with running jobs that used the gres option. I’m at a loss as to why this is happening. Can someone please look at our configuration to see if anything stands out? SLURM Version = 21.08.5 Slurm.conf ClusterName=ommit SlurmctldHost=headnode ProctrackType=proctrack/cgroup ReturnToService=2 SlurmdPidFile=/run/slurmd.pid SlurmdSpoolDir=/var/lib/slurm/slurmd StateSaveLocation=/var/lib/slurm/slurmctld SlurmUser=slurm TaskPlugin=task/cgroup SchedulerType=sched/backfill SelectType=select/cons_tres SelectTypeParameters=CR_Core_Memory AccountingStorageType=accounting_storage/slurmdbd # AccountingStorageType for other resources # AccountingStorageTRES=gres/gpu #DebugFlags=CPU_Bind,gres JobCompType=jobcomp/none JobAcctGatherType=jobacct_gather/cgroup SlurmctldDebug=info SlurmctldLogFile=/var/log/slurm/slurmctld.log SlurmdDebug=info SlurmdLogFile=/var/log/slurm/slurmd.log DefMemPerCPU=4000 #NodeName=n01 CPUs=256 Boards=1 SocketsPerBoard=2 CoresPerSocket=64 ThreadsPerCore=2 RealMemory=1000000 NodeName=n01 Gres=gpu:nvidia-l40:8 CPUs=256 Boards=1 SocketsPerBoard=2 CoresPerSocket=64 ThreadsPerCore=2 RealMemory=1000000 NodeName=n02 Gres=gpu:nvidia-l40:8 CPUs=256 Boards=1 SocketsPerBoard=2 CoresPerSocket=64 ThreadsPerCore=2 RealMemory=1000000 #Gres config for GPUs GresTypes=gpu PreemptType=preempt/qos PreemptMode=REQUEUE # reset usage after 1 week PriorityUsageResetPeriod=WEEKLY # The job's age factor reaches 1.0 after waiting in the # queue for 2 weeks. PriorityMaxAge=14-0 # This next group determines the weighting of each of the # components of the Multifactor Job Priority Plugin. # The default value for each of the following is 1. PriorityWeightAge=1000 PriorityWeightFairshare=10000 PriorityWeightJobSize=1000 PriorityWeightPartition=1000 PriorityWeightQOS=1500 # Primary partitions PartitionName=debug Nodes=ALL Default=YES MaxTime=INFINITE State=UP PartitionName=all Nodes=n01,n02 Default=YES MaxTime=01:00:00 DefaultTime=00:30:00 State=UP PartitionName=statds Nodes=n01 Default=NO MaxTime=48:00:00 State=UP Priority=100 State=UP OverSubscribe=FORCE AllowAccounts=statds PartitionName=phil Nodes=n02 Default=NO MaxTime=48:00:00 State=UP Priority=100 State=UP OverSubscribe=FORCE AllowAccounts=phil #Set up condo mode # Condo partitions PartitionName=phil_condo Nodes=n02 Default=NO MaxTime=48:00:00 DefaultTime=00:01:00 State=UP Priority=50 OverSubscribe=FORCE AllowQos=normal PartitionName=statds_condo Nodes=n01 Default=NO MaxTime=48:00:00 DefaultTime=00:01:00 State=UP Priority=50 OverSubscribe=FORCE AllowQos=normal JobSubmitPlugins=lua Gres.conf NodeName=n01 Name=gpu Type=nvidia-l40 File=/dev/nvidia0 NodeName=n01 Name=gpu Type=nvidia-l40 File=/dev/nvidia1 NodeName=n01 Name=gpu Type=nvidia-l40 File=/dev/nvidia2 NodeName=n01 Name=gpu Type=nvidia-l40 File=/dev/nvidia3 NodeName=n01 Name=gpu Type=nvidia-l40 File=/dev/nvidia4 NodeName=n01 Name=gpu Type=nvidia-l40 File=/dev/nvidia5 NodeName=n01 Name=gpu Type=nvidia-l40 File=/dev/nvidia6 NodeName=n01 Name=gpu Type=nvidia-l40 File=/dev/nvidia7 NodeName=n02 Name=gpu Type=nvidia-l40 File=/dev/nvidia0 NodeName=n02 Name=gpu Type=nvidia-l40 File=/dev/nvidia1 NodeName=n02 Name=gpu Type=nvidia-l40 File=/dev/nvidia2 NodeName=n02 Name=gpu Type=nvidia-l40 File=/dev/nvidia3 NodeName=n02 Name=gpu Type=nvidia-l40 File=/dev/nvidia4 NodeName=n02 Name=gpu Type=nvidia-l40 File=/dev/nvidia5 NodeName=n02 Name=gpu Type=nvidia-l40 File=/dev/nvidia6 NodeName=n02 Name=gpu Type=nvidia-l40 File=/dev/nvidia7 Cgroup.conf CgroupMountpoint="/sys/fs/cgroup" CgroupAutomount=yes CgroupReleaseAgentDir="/etc/slurm/cgroup" AllowedDevicesFile="/etc/slurm/cgroup_allowed_devices_file.conf" ConstrainCores=yes ConstrainDevices=yes ConstrainRAMSpace=yes cgroup_allowed_devices_file.conf /dev/null /dev/urandom /dev/zero /dev/sda* /dev/cpu/*/* /dev/pts/* /dev/nvidia*
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