Thanks for the quick response Ryan!
Are there any recommendations for bf_ options from https://slurm.schedmd.com/sched_config.html that could help with this? bf_continue? Decreasing bf_interval= to a value lower than 30?
On Tue, Jun 4, 2024 at 4:13 PM Ryan Novosielski novosirj@rutgers.edu wrote:
This is relatively true of my system as well, and I believe it’s that the backfill schedule is slower than the main scheduler.
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On Jun 4, 2024, at 16:03, Robert Kudyba via slurm-users < slurm-users@lists.schedmd.com> wrote:
At the moment we have 2 nodes that are having long wait times. Generally this is when the nodes are fully allocated. What would be the other reasons if there is still enough available memory and CPU available, that a job would take so long? Slurm version is 23.02.4 via Bright Computing. Note the compute nodes have hyperthreading enabled but that should be irrelevant. Is there a way to determine what else could be holding jobs up?
srun --pty -t 0-01:00:00 --nodelist=node001 --gres=gpu:1 -A ourts -p short /bin/bash srun: job 672204 queued and waiting for resources
scontrol show node node001 NodeName=m001 Arch=x86_64 CoresPerSocket=48 CPUAlloc=24 CPUEfctv=192 CPUTot=192 CPULoad=20.37 AvailableFeatures=location=local ActiveFeatures=location=local Gres=gpu:A6000:8 NodeAddr=node001 NodeHostName=node001 Version=23.02.4 OS=Linux 5.14.0-70.13.1.el9_0.x86_64 #1 SMP PREEMPT Thu Apr 14 12:42:38 EDT 2022 RealMemory=1031883 AllocMem=1028096 FreeMem=222528 Sockets=2 Boards=1 State=MIXED ThreadsPerCore=2 TmpDisk=0 Weight=1 Owner=N/A MCS_label=N/A Partitions=ours,short BootTime=2024-04-29T16:18:30 SlurmdStartTime=2024-05-18T16:48:11 LastBusyTime=2024-06-03T10:49:49 ResumeAfterTime=None CfgTRES=cpu=192,mem=1031883M,billing=192,gres/gpu=8 AllocTRES=cpu=24,mem=1004G,gres/gpu=2,gres/gpu:a6000=2 CapWatts=n/a CurrentWatts=0 AveWatts=0 ExtSensorsJoules=n/s ExtSensorsWatts=0 ExtSensorsTemp=n/s
grep 672204 /var/log/slurmctld [2024-06-04T15:50:35.627] sched: _slurm_rpc_allocate_resources JobId=672204 NodeList=(null) usec=852
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