- slurm-users - lists.schedmd.com

How to track solver usage in Slurm
by fernando.seguro＠rtx.com 23 Apr '26

23 Apr '26

I don't see an easy way of tracking this in slurm. I tried using the --comment="slover" directive, but this gets mapped to the "derived_es" column in the database, which is reserved for job info on errors, from what I read. This would make a good enhancement request. Where would I submit that? Something like: SBATCH --solver=fluent or SBATCH --solver=LSDyna This would be very helpful for tracking solver usage without having to use the job-name. Great for reporting. Please let me know if someone else has requested this previously. If anyone has figured out a way to do it, please share. thanks

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slurmdbd and slurmctld prevent alma9 login
by Pols, Maarten 23 Apr '26

23 Apr '26

Dear Community, Our Slurm cluster has been running without any issues for several months on version 25.05.3. Last Friday, we experienced a power outage which required us to restart the server. After the restart, we were unable to log in to the master node. Eventually, we managed to access the system via a safe mode workaround. Through a process of elimination, we identified the slurmdbd and slurmctld services as the root cause of the issue. Would you happen to have any idea what might have caused this behavior? We have since upgraded to version 25.11.5, which appears to be running smoothly. However, we would still like to understand the underlying cause of the problem. Thank you in advance for your help. Kind regards, Maarten

1 0

Can't clear the REASON
by Berg, Stephen P CIV USN NRL DET SSC MS (USA) 17 Apr '26

17 Apr '26

Just upgraded my grid to 25.11 a couple days ago. Got two nodes that were down for a bit and when I set them to resume and set the reason="" they are still showing up with the reason I had set while they were down. Nothing I do seems to unset that reason flag for these two nodes. I've set the nodes to down with a reason and then back to idle with the blank reason but it never goes back to "none" like the other nodes. Whatever the last reason set was persists. The behavior seems different since I updated to 25.11. Was running the 20.11 available from the epel-8 repos previously.

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Jobs aborting after slurmctld reload on Intel nodes - AMD unaffected
by Pharthiphan Asokan 16 Apr '26

16 Apr '26

Hi team, We’re observing job aborts on Intel-based nodes immediately after a slurmctld reload. AMD nodes remain stable and jobs continue unaffected. No system or Slurm configuration changes were made before the issue started. Error observed: error: Aborting JobID=1288 due to change in socket/core configuration of allocated nodes Relevant node configuration (Intel node example): NodeName=smc-h4-u19 CPUs=128 Boards=1 SocketsPerBoard=2 CoresPerSocket=64 ThreadsPerCore=1 RealMemory=510976 State=UNKNOWN Feature=model_SSG-1228-B From logs: error: valid_job_resources: smc-h4-u19 sockets:2:2, cores 64,32 error: Node configuration differs from hardware: CPUs=128:128(hw) Boards=1:1(hw) SocketsPerBoard=2:2(hw) What we’ve verified: * No changes in BIOS, firmware, or hardware topology * No edits to slurm.conf or slurm_nodes.conf * Reload (scontrol reconfigure) triggers job aborts only on Intel nodes * AMD nodes remain intact through reloads

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We are pleased to announce the availability of Slurm version 25.11.5
by Marshall Garey 14 Apr '26

14 Apr '26

We are pleased to announce the availability of Slurm version 25.11.5. Some of the changes in 25.11.0 are highlighted below: * Fix a regression in 25.11.0 that could cause daemons to hang after reaching conmgr_max_connections. * Fix a regression added in 25.05.0 concerning how the slurmctld inherits /run/slurmctld/sack.socket when using AuthType=auth/slurm to prevent clients that connected during a reconfigure from hanging indefinitely. * Fix a race in tree forwarding that could cause a crash during shutdown * Fix several bugs in the namespace/linux plugin that caused instability The full list of changes are available in the CHANGELOG file: https://github.com/SchedMD/slurm/blob/slurm-25.11/CHANGELOG/slurm-25.11.md Slurm can be downloaded from: https://www.schedmd.com/download-slurm/ -- Marshall Garey Senior System Software Engineer NVIDIA

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Why my job can't start (backfill reservation issue)
by Massimo Sgaravatto 14 Apr '26

14 Apr '26

Dear all I (try to) manage a slurm cluster composed by some CPU-only nodes and some worker nodes which have also GPUs: NodeName=cld-ter-[01-06] Sockets=2 CoresPerSocket=96 ThreadsPerCore=2 RealMemory=1536000 State=UNKNOWN NodeName=cld-ter-gpu-[01-05] Sockets=2 CoresPerSocket=96 ThreadsPerCore=2 Gres=gpu:nvidia-h100:4 RealMemory=1536000 State=UNKNOWN The GPU nodes are exposed through multiple partitions: PartitionName=gpus Nodes=cld-ter-gpu-[01-02] State=UP PriorityTier=20 PartitionName=sparch Nodes=cld-ter-gpu-03 AllowAccounts=sparch,operators QoS=sparch State=UP PriorityTier=20 PartitionName=geant4 Nodes=cld-ter-gpu-03 AllowAccounts=geant4,operators QoS=geant4 State=UP PriorityTier=20 PartitionName=enipred Nodes=cld-ter-gpu-04 AllowAccounts=enipred,operators QoS=enipred State=UP PriorityTier=20 PartitionName=enipiml Nodes=cld-ter-gpu-05 AllowAccounts=enipiml,operators QoS=enipiml State=UP PriorityTier=20 We also set a partition to allow cpu-only jobs on the GPU nodes, but these jobs should be preempted (killed and requeued) if jobs submitted to partitions with higher priorities require those resources: PreemptType=preempt/partition_prio PreemptMode=REQUEUE PartitionName=onlycpus-opp Nodes=cld-ter-gpu-[01-05],cld-dfa-gpu-06,btc-dfa-gpu-02 State=UP PriorityTier=10 Now, I don't understand why this job [*] submitted on the onlycpus-opp partition can't start running e.g. on the cld-ter-gpu-01, since it has a lot of free resources: [sgaravat@cld-ter-ui-01 ~]$ scontrol show node cld-ter-gpu-01 NodeName=cld-ter-gpu-01 Arch=x86_64 CoresPerSocket=96 CPUAlloc=8 CPUEfctv=384 CPUTot=384 CPULoad=5.93 AvailableFeatures=(null) ActiveFeatures=(null) Gres=gpu:nvidia-h100:4 NodeAddr=cld-ter-gpu-01 NodeHostName=cld-ter-gpu-01 Version=25.11.3 OS=Linux 5.14.0-611.45.1.el9_7.x86_64 #1 SMP PREEMPT_DYNAMIC Wed Apr 1 05:56:53 EDT 2026 RealMemory=1536000 AllocMem=560000 FreeMem=1192357 Sockets=2 Boards=1 State=MIXED+PLANNED ThreadsPerCore=2 TmpDisk=0 Weight=1 Owner=N/A MCS_label=N/A Partitions=gpus,onlycpus-opp BootTime=2026-04-09T10:39:35 SlurmdStartTime=2026-04-09T10:40:01 LastBusyTime=2026-04-09T11:54:46 ResumeAfterTime=None CfgTRES=cpu=384,mem=1500G,billing=839,gres/gpu=4,gres/gpu:nvidia-h100=4 AllocTRES=cpu=8,mem=560000M,gres/gpu=4,gres/gpu:nvidia-h100=4 CurrentWatts=0 AveWatts=0 I guess the "MIXED+PLANNED" is the answer, but as far as I can see only a job (283469) is planned for this worker node: sgaravat@cld-ter-ui-01 ~]$ squeue --start | grep ter-gpu-01 JOBID PARTITION NAME USER ST START_TIME NODES SCHEDNODES NODELIST(REASON) 283469 gpus vllm-pod ciangott PD 2026-04-13T14:31:40 1 cld-ter-gpu-01 (Resources) But job 283469 doesn't require too many resources [**], so the 2 jobs could run together. Why job 283534 can't start ? Any hints ? Thanks, Massimo [*] [sgaravat@cld-ter-ui-01 ~]$ scontrol show job=283534 JobId=283534 JobName=myscript.sh UserId=sgaravat(5008) GroupId=tbadmin(5001) MCS_label=N/A Priority=542954 Nice=0 Account=operators QOS=normal JobState=RUNNING Reason=None Dependency=(null) Requeue=1 Restarts=0 BatchFlag=1 Reboot=0 ExitCode=0:0 RunTime=00:00:41 TimeLimit=1-00:00:00 TimeMin=N/A SubmitTime=2026-04-13T11:10:13 EligibleTime=2026-04-13T11:10:13 AccrueTime=2026-04-13T11:10:13 StartTime=2026-04-13T11:58:39 EndTime=2026-04-14T11:58:39 Deadline=N/A PreemptEligibleTime=2026-04-13T11:58:39 PreemptTime=None SuspendTime=None SecsPreSuspend=0 LastSchedEval=2026-04-13T11:58:39 Scheduler=Backfill Partition=onlycpus-opp AllocNode:Sid=cld-ter-ui-01:3035857 ReqNodeList=(null) ExcNodeList=(null) NodeList=btc-dfa-gpu-02 BatchHost=btc-dfa-gpu-02 NumNodes=1 NumCPUs=1 NumTasks=1 CPUs/Task=1 ReqB:S:C:T=0:0:*:* ReqTRES=cpu=1,mem=100G,node=1,billing=26 AllocTRES=cpu=1,mem=100G,node=1,billing=26 Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=* MinCPUsNode=1 MinMemoryNode=100G MinTmpDiskNode=0 Features=(null) DelayBoot=00:00:00 OverSubscribe=OK Contiguous=0 Licenses=(null) LicensesAlloc=(null) Network=(null) Command=/shared/home/sgaravat/myscript.sh SubmitLine=sbatch myscript.sh WorkDir=/shared/home/sgaravat StdErr=/shared/home/sgaravat/JOB-myscript.sh.283534.4294967294.err StdIn=/dev/null StdOut=/shared/home/sgaravat/JOB-myscript.sh.283534.4294967294.out MailUser=massimo.sgaravatto(a)pd.infn.it MailType=INVALID_DEPEND,BEGIN,END,FAIL,REQUEUE,STAGE_OUT [**] sgaravat@cld-ter-ui-01 ~]$ scontrol show job=283469 JobId=283469 JobName=vllm-pod UserId=ciangott(6054) GroupId=tbuser(6000) MCS_label=N/A Priority=499703 Nice=0 Account=cms QOS=normal JobState=PENDING Reason=Resources Dependency=(null) Requeue=1 Restarts=0 BatchFlag=1 Reboot=0 ExitCode=0:0 RunTime=00:00:00 TimeLimit=1-00:00:00 TimeMin=N/A SubmitTime=2026-04-13T06:48:37 EligibleTime=2026-04-13T06:48:37 AccrueTime=2026-04-13T06:48:37 StartTime=2026-04-13T14:31:40 EndTime=2026-04-14T14:31:40 Deadline=N/A SuspendTime=None SecsPreSuspend=0 LastSchedEval=2026-04-13T11:59:48 Scheduler=Main Partition=gpus AllocNode:Sid=cld-ter-ui-01:3015801 ReqNodeList=(null) ExcNodeList=(null) NodeList= SchedNodeList=cld-ter-gpu-01 NumNodes=1-1 NumCPUs=32 NumTasks=1 CPUs/Task=32 ReqB:S:C:T=0:0:*:* ReqTRES=cpu=32,mem=190734M,node=1,billing=118,gres/gpu=2,gres/gpu:nvidia-h100=2 AllocTRES=(null) Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=* MinCPUsNode=32 MinMemoryNode=190734M MinTmpDiskNode=0 Features=(null) DelayBoot=00:00:00 OverSubscribe=OK Contiguous=0 Licenses=(null) LicensesAlloc=(null) Network=(null) Command=.interlink/jobs/default-0c0257f8-d1ea-4135-a602-96c229ce8516/job.slurm SubmitLine=sbatch .interlink/jobs/default-0c0257f8-d1ea-4135-a602-96c229ce8516/job.slurm WorkDir=/shared/home/ciangott StdErr= StdIn=/dev/null StdOut=/shared/home/ciangott/.interlink/jobs/default-0c0257f8-d1ea-4135-a602-96c229ce8516/job.out TresPerNode=gres/gpu:nvidia-h100:2 TresPerTask=cpu=32

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pam_slurm_adopt
by Ratnasamy, Fritz 10 Apr '26

10 Apr '26

Hi, We have blocked ssh to nodes where users do not have a running job. However, when there is a running job, a user can ssh to that node and use more than the slurm resources allocated on that node. Am I missing something? I usually request an interactive session of 2GB. I then open another terminal and ssh to the node where the interactive session runs. I allocated a 4GB R variable on the node where I just ssh but this does not error out. Additionally, if I end my interactive session, the ssh connection still lives which I believe should not happen. Best, *Fritz Ratnasamy*Data Scientist Information Technology

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Moving a Slurm database from one slurm database host to another
by James A Allsopp 09 Apr '26

09 Apr '26

Hi, We'd like to move our Slurm database from its existing machine running mariadb-server-5.5.68 to another running mariadb-server-10.5.29-3, both of which are running slurm 24.11.7. We dumped the database successfully from the old server, reimported it into the new server using mysqldump and *mysql < db_dump.sql*. The new slurmdbd service was then started. The clusters have different names so there were a few inconsistencies, but when we started the new slurm cluster, we could see the jobs according to sacct (using the -M option) matched those of the original cluster, but none of the associated job steps were shown. I manually logged into the new database and could see the jobs in the job_table but it looked like the foreign key link had been broken in the step table as there were entries in that table. Am I missing some information about how to export and import properly? I was wondering if the import had triggered auto-increment on keys and that was breaking things? Ideally, we'd like to change the name of the cluster as well. Is that just a matter of altering the prefix on the relevant tables, which is something I can do by hand on the database dump before reimporting? For instance, changing the table <old_name>_event_table to <new_cluster_name>_event_table. Thanks James -- Dr James Allsopp | Research Platforms team IT Services | University of Sheffield I do not work Tuesday and Wednesday 3-5pm. I also send emails at odd times, but respond at your convenience.

1 0

How to delete my defaultwckey ?
by Faraz Hussain 07 Apr '26

07 Apr '26

I want every submitted job to have some value for the wckey, i.e: #SBATCH --wckey=myproject I made the appropriate changes to slurm.conf and slurmdb.conf and it works great. I can track how many hours people are using with those wckeys. But now I want to make it mandatory to use a wckey. To do that I need to delete the default wckey associated with the user's account. I tried doing it as follows, but it still lets me submit jobs without a wckey. It probably thinks I have an "empty" default wckey. sacctmgr mod user fhussa set defaultwckey= [root@mas01 ~]# sacctmgr list user fhussa format=user,defaultwckey User Def WCKey ---------- ---------- fhussa

1 0

Difference between sreport and sacct
by hany.ibrahim＠kit.edu 07 Apr '26

07 Apr '26

Hello, I am trying to understand how sreport work. So I run sreport and obtain th estatistics about speciic project. On teh other side, I collected the jobs related to this account using sacct. When I try to sum the numbers, sometimes it don't sum up. I can't see any reservations. This is the sreport I used: sreport --tres cpu cluster AccountUtilizationByUser Start=2021-01-01 account=<account> -t hours -np This is jobs I collected by using sacct: sudo -u slurm sacct -a -S "2021-01-01" -E NOW --format=JobID%100,User,Account%100,State,AllocCPUs,CPUTime%100,CPUTIMERAW%100,ElapsedRaw%100,AllocTres%100,AllocNodes,NodeList,NNodes --noheader --parsable2 | grep <account> I tried to exclude the steps from the main Jobs, so I summed only the main jobs whatever its state (canceled, completed, timeout, fail..). However the sreport occasionally is larger. What I am missing exactly? Warm regards, Hany.

1 0

Shared queue: how to request full node with all resources?
by Dustin Lang 31 Mar '26

31 Mar '26

Hi, With a partition with "OverSubscribe=FORCE" set, is there a way to request all the node resources? I see "--mem=0" does that for memory. But I do not see an option to request all the CPUs and GRES/TRES such as GPUs. I tried "--nodes=1 --ntasks=1 --cpus-per-task=0", but "--cpus-per-task=0" does not do the same thing as "--mem=0". In other words, is it possible to have a queue where nodes can be shared between jobs, but have a simple way for an sbatch script to request the full node with all its memory, cpus, and other resources? We have a heterogeneous cluster, so telling users (or jupyterhub scripts) to list exactly the resources they want doesn't really work. thanks, dustin

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How do you handle GPU node failures during long jobs?
by Antonio Jose Alonso-Stepanov 26 Mar '26

26 Mar '26

Hi all, I'm a Stanford CS student looking into how sites handle GPU node failures during long-running jobs. A couple questions: When a GPU node goes down mid-job, do most sites use Slurm's requeue or --no-kill to handle it, or is it mostly manual drain and resubmit? Is anyone using HealthCheckProgram to catch GPU issues (like ECC errors via DCGM), or do you handle GPU health monitoring outside of Slurm? Curious what's worked and what hasn't. Thanks. Antonio

3 2

_node_config_validate: gres/gpu: Count changed on node (0 != 2)
by Xaver Stiensmeier 23 Mar '26

23 Mar '26

Hey Slurm-users list, while our regular gpu nodes are working fine, our on demand gpu nodes have a weird issue. They power up, I can ssh onto them and execute nvidia-smi on them without issue, but they are marked invalid and slurmctld logs _node_config_validate: gres/gpu: Count changed on node (0 != 2) however, node show shows that the gpus are recognized and the gres.conf are stored on the worker nodes as expected and the node entries in the slurm.conf are fine, too: # slurm.conf NodeName=my_worker_node SocketsPerBoard=16 CoresPerSocket=1 RealMemory=64075 MemSpecLimit=4000 State=CLOUD Gres=gpu:L4:2 # openstack # gres.conf on my_worker_node ubuntu@my_node:~$ cat /etc/slurm/gres.conf # GRES CONFIG Name=gpu Type=L4 File=/dev/nvidia0 Name=gpu Type=L4 File=/dev/nvidia1 Thankful for any ideas and debugging ideas. Best, Xaver PS: By executing: sudo scontrol update NodeName=$(bibiname 0) Gres= sudo scontrol reconfigure sudo scontrol update NodeName=$(bibiname 0) state=RESUME reason=None the node can be resumed. However, this is not a real solution.

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We are pleased to announce the availability of Slurm versions 25.11.4 and 25.05.7.
by Marshall Garey 12 Mar '26

12 Mar '26

We are pleased to announce the availability of Slurm versions 25.11.4 and 25.05.7. Changes in both versions include preventing SIGHUP from terminating slurmrestd. Changes in 25.11.4 include fixing several issues with the switch/nvidia_imex plugin, several memory leaks, a race that could cause jobs to be stuck in the completing state or be requeued and held if the --get-user-env option was used, flex reservations taking nodes from other reservations that do not request full nodes, and a variety of other issues. Changes in 25.05.7 include fixing the gpu/nrt plugin, and fixing some other regressions and stability issues. The full list of changes are available in the CHANGELOG files for each version: https://github.com/SchedMD/slurm/blob/slurm-25.11/CHANGELOG/slurm-25.11.md https://github.com/SchedMD/slurm/blob/slurm-25.05/CHANGELOG/slurm-25.05.md Slurm can be downloaded from: https://www.schedmd.com/download-slurm/ -- Marshall Garey Senior System Software Engineer NVIDIA

1 0

Server with two GPUs sharing each GPU to different partitions
by Gestió Servidors 09 Mar '26

09 Mar '26

Hello, First of all, sorry if my question is about something easy, but in my environment, this is the first time I need to do this. I have one server that have 2 identical GPUs. I have two different partitions: one is accessible from some allocation nodes and the other from other allocation nodes. My question is if it's possible to share one GPU with one partition and the other GPU with the other partition. For example, something like this: * gres.conf: NodeName=gpu-node AutoDetect=off Name=gpu Type=RTX5070 File=/dev/nvidia0 Cores=0-127 NodeName=gpu-node AutoDetect=off Name=gpu Type=RTX5070 File=/dev/nvidia1 Cores=128-255 * slurm.conf: NodeName=gpu-node CPUs=256 SocketsPerBoard=2 CoresPerSocket=64 ThreadsPerCore=2 RealMemory=260000 TmpDisk=47000 Gres= RTX5070:2 PartitionName=gpu-int.q Nodes=gpu-node OverSubscribe=No State=UP AllocNodes=submit-node-1 PriorityTier=3 GraceTime=900 PartitionName=gpu-ext.q Nodes=gpu-node OverSubscribe=No State=UP AllocNodes=submit-node-1 PriorityTier=3 GraceTime=900 With this configuration, if simultaneously two different users tries to execute in one of the RTX5070 (one in gpu-int.q and the other in gpu-ext.q), could both of them execute with no problems? If user from gpu-int.q uses device #0 and user from gpu-ext.q uses device #1, could SLURM work without problems if a second simultaneously exection assigns device #1 to user from gpu-int.q and device #0 to user from gpu-ext.q? Thanks.

1 0

Optimizing CPU allocation in Slurm with hyperthreading enabled
by Guillaume COCHARD 02 Mar '26

02 Mar '26

Hello, The Slurm documentation states that "The default allocation method within a node is cyclic allocation (allocate available CPUs in a round-robin fashion across the sockets within a node)." In our case, we are using hyperthreading, which means that if two jobs requesting one CPU each arrive at the same time on an empty node, they will be assigned to the two threads of the same physical core. To improve performance, we would like Slurm to allocate CPUs (in our case, threads) in a way that prioritizes using one thread per physical core first, and only once all cores are occupied, assign the second thread of each core. This would be similar to the Least Loaded Node (LLN) approach, but instead of distributing jobs across nodes, it would distribute them across physical cores (Least Loaded Core). We do not want to disable hyperthreading; we simply want to optimize core usage when a machine is not fully loaded. We also want this to be a cluster-wide setting, and not a user and/or job setting. Our current slurm.conf contains: ConstrainCores = no SelectType = select/cons_tres SelectTypeParameters = CR_CPU_MEMORY And our cgroup.conf contains: ConstrainDevices=yes ConstrainCores=yes Does anyone know how to achieve this? Thanks, Guillaume

3 2

Missing mounts.h in Ubuntu Bionic build
by Michael Gutteridge 25 Feb '26

25 Feb '26

Hi We're running into a problem with building 25.11.3 for Ubuntu Bionic. When the cgroup/v2 plugin is building, ebpf throws an error: ``` ../../../../../src/plugins/cgroup/v2/ebpf.c:38:10: fatal error: linux/mount.h: No such file or directory #include <linux/mount.h> ^~~~~~~~~~~~~~~ compilation terminated. Makefile:638: recipe for target 'ebpf.lo' failed make[6]: *** [ebpf.lo] Error 1 make[6]: Leaving directory '/build/slurm-25.11.3/obj-x86_64-linux-gnu/src/plugins/cgroup/v2' ``` I think this is because on Ubuntu, the `mounts.h` header is in the path `sys`- the manpage for mounts(2) describes including this file via `#include <sys/mounts.h>`. `ebpf.c` seems to be the only place where the `linux/mounts.h` path is used, everywhere else using `sys`. Curiously it seems to build OK on Noble (Ubuntu 24). I have no explanation for the difference. Has anyone run into this problem building on Ubuntu? This include looks to have been a recent add so might be a bug, but I feel like someone else would have run into this already if it were. Thanks - Michael

1 0

Issue with coordinator increasing limits
by Groner, Rob 24 Feb '26

24 Feb '26

I'm seeing a weird issue when I try to increase limits on a child account that a coordinator has created. Here is the setup: 1. Create an account named slurm_parent, set coordinator1 as a coordinator of that account, and give that account a grptresmins=cpu=100 limit. 2. As coordinator1, create a child account named slurm_child whose parent is slurm_parent. 3. As coordinator1, set the grptresmins=cpu=10 limit on the child account. That all works fine. The problem is when I try to INCREASE the cpu limit on the child account by any amount. $coordinator1> sacctmgr modify account test_crch_slurmaccessch set grptresmins=cpu=11 sacctmgr: error: Coordinators can not increase job limits beyond the parent ones Modified account associations... Error with request: Coordinators can not increase job limits beyond the parent ones The first issue is that the limit of cpu=11 is NOT beyond the parent limit of cpu=100. The second issue is that (as a workaround), I can remove the cpu=10 limit on the child account as coordinator (by setting it to -1), and then I can set grptresmins=cpu=1000. That command works. So, I can very clearly set a grptresmins=cpu limit that is beyond the parent limit (I understand that the child account in reality won't be able to access more than the parent account, no matter what the limit is). Note that as coordinator, I can REDUCE the limit on the child account all I want. So I can set it to cpu=9 just fine. But if I try to set it back to 10, I'll again get the error saying I can't go above parent limits. So here are my issues: 1. Inability of coordinator to increase the child account grptresmins limits once set. 2. Incorrect error message about exceeding the parent limit. I originally saw this issue on 24.11.6, and built and tested on 25.11.3, and still see the issue. Thanks for any help figuring out what I'm doing wrong. Rob

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Reliable, Atomic, Idempotent, or Transactional Job Submission?
by Adam Novak 24 Feb '26

24 Feb '26

I'm working on the Slurm integration in our Toil workflow runner project. I'm having a problem where an `sbatch` command to submit a job to Slurm can fail (with exit code 1 and message "sbatch: error: Batch job submission failed: Socket timed out on send/recv operation", in my case, but possibly in other ways), but the job can still actually have been submitted, and can still execute. This causes a problem for Toil because right now, when it sees a submission attempt fail, it backs off and submits the job again a little later. But Toil can't handle multiple copies of the same job running at once, and if a submission appears to the client to have failed but actually succeeded, it's possible to get into that situation if you just submit again. When an sbatch command fails, is it possible to detect cases where the cluster will still execute the job? (For example, is it guaranteed that the job ID will be available on standard output on the client if the job is going to execute on the cluster, no matter when in the client process it might get a socket disconnection, allowing the job to be inquired about later?) Do I maybe need to tag my jobs with unique identifiers myself so I can poll for them in the queue after a supposedly-failed submission? Is it possible to write an idempotent sbatch command, where it can be run any number of times but will only actually submit one copy of the job? Is the Slurm REST API somehow more transactional, or able to promise somehow that a job will not actually go into the queue without the client having acknowledged receipt of the job's assigned ID? Thanks, -Adam -- Adam Novak (He/Him) Senior Software Engineer Computational Genomics Lab UC Santa Cruz Genomics Institute "Revealing life’s code." Personal Feedback: https://forms.gle/UXZhZc123knF65Dw5

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Get the list of added dynamic nodes
by Edmundo Carmona Antoranz 24 Feb '26

24 Feb '26

Hi! Is there a way to get the list of dynamic nodes that have been created but that are pending to get slurmd to run on them? I fail to see them with with either scontrol or sinfo: root@ea-u24-dynamic-2511:~# scontrol show nodes | grep NodeName NodeName=node001 Arch=x86_64 CoresPerSocket=1 NodeName=node002 Arch=x86_64 CoresPerSocket=1 NodeName=node003 Arch=x86_64 CoresPerSocket=1 root@ea-u24-dynamic-2511:~# sinfo -N -a NODELIST NODES PARTITION STATE node001 1 defq* idle node002 1 defq* idle node003 1 defq* idle root@ea-u24-dynamic-2511:~# scontrol create NodeName=node004 .... state=FUTURE feature=dyn1 root@ea-u24-dynamic-2511:~# scontrol show nodes | grep NodeName NodeName=node001 Arch=x86_64 CoresPerSocket=1 NodeName=node002 Arch=x86_64 CoresPerSocket=1 NodeName=node003 Arch=x86_64 CoresPerSocket=1 root@ea-u24-dynamic-2511:~# sinfo -N -a NODELIST NODES PARTITION STATE node001 1 defq* idle node002 1 defq* idle node003 1 defq* idle root@ea-u24-dynamic-2511:~# scontrol version slurm 25.11.2 Only when I start slurmd from node004 does it become visible (through scontrol only): root@ea-u24-dynamic-2511:~# ssh node004 /cm/local/apps/slurm/current/sbin/slurmd -Z -f /cm/shared/apps/slurm/etc/slurm/slurm.conf root@ea-u24-dynamic-2511:~# sinfo -N -a NODELIST NODES PARTITION STATE node001 1 defq* idle node002 1 defq* idle node003 1 defq* idle root@ea-u24-dynamic-2511:~# scontrol show nodes | grep NodeName NodeName=node001 Arch=x86_64 CoresPerSocket=1 NodeName=node002 Arch=x86_64 CoresPerSocket=1 NodeName=node003 Arch=x86_64 CoresPerSocket=1 NodeName=node004 Arch=x86_64 CoresPerSocket=1 Thanks in advance. Edmundo Carmona Antoranz Software Engineer NVIDIA Corporation

3 4

We are pleased to announce the availability of Slurm version 25.11.3
by Tim Wickberg 19 Feb '26

19 Feb '26

We are pleased to announce the availability of Slurm version 25.11.3. 25.11.3 fixes a number of stability issues, regressions, and a variety of other bugs, including the following: * Fix multiple issues with dynamic topology when power saving is enabled * Fix a backfill performance regression when using bf_licenses * Fix race conditions when shutting down slurmctld or slurmdbd that cause crashes or hangs * Fix slurmctld crashing when using enable_async_reply and TLS * Fix regression from 25.05 which caused usercpu and systemcpu to be missing for job steps * Fix regression that caused thread limits in slurmd to not be respected for incoming RPCs * Prevent the double-removal of accounting usage for jobs being requeued that are in the COMPLETED or COMPLETING state The full list of changes is available in the CHANGELOG file: https://github.com/SchedMD/slurm/blob/slurm-25.11/CHANGELOG/slurm-25.11.md Slurm can be downloaded from: https://github.com/SchedMD/slurm/releases One note on some updates to our release process - we've started publishing the releases directly on GitHub, in parallel to their usual location on the SchedMD web server. If you 'star' the Slurm repository you can automatically receive notices when new releases are published there. You can also subscribe to the RSS/Atom feed through: https://github.com/SchedMD/slurm/releases.atom - Tim -- Tim Wickberg Director, System Software, Slurm and Slinky, NVIDIA

1 0

preempt/qos is not working as expected
by Marchand Aurélia 19 Feb '26

19 Feb '26

Hello, I want too use QOS preemption. my configuration is : preemptMode = GANG,SUSPEND PreemptParameters = (null) PreemptType = preempt/qos PriorityType = priority/multifactor SelectType = select/cons_tres SelectTypeParameters = CR_CPU I define 3 partitions : PartitionName=DEFAULT Nodes=ALL Default=NO MaxTime=15-0 State=UP OverSubscribe=FORCE:1 PreemptMode=suspend PartitionName=veryhi PriorityTier=30 AllowQos=veryhi_short,gaia_veryhi_short PartitionName=hi PriorityTier=20 AllowQos=hi_short,gaia_hi_short PartitionName=def PriorityTier=10 OverSubscribe=No Default=YES AllowQos=def_short I define 5 QOS : sacctmgr show qos format=name%20,Priority,Preempt%40,PreemptMode Name Priority Preempt PreemptMode ----------------------- ------------ ---------------------------------- --------------- normal 0 cluster veryhi_short 20000 def_short suspend hi_short 10000 def_short suspend def_short 0 normal suspend gaia_veryhi_short 20000 def_short,gaia_hi_short suspend gaia_hi_short 10000 def_short suspend I define account : sacctmgr show ass format=account%20,user,qos%60 Account User QOS -------------------- -------- -------------------------------------------- gaia_hi user1 gaia_hi_short gaia_veryhi user1 gaia_veryhi_short mis_hi user1 hi_short def user1 def_short I submit 2 jobs : JOBID PARTITION QOS ACCOUNT NAME USER STATE PRIORITY 159 hi hi_short mis_hi test user1 SUSPENDE 637 160 veryhi gaia_veryhi_short gaia_veryhi test user1 RUNNING 1150 I don't understand why job 160 suspend job 159, the partition priority is higher, but I want gaia_veryhi_short QOS preempt only def_short and gaia_hi_short QOS. The QOS of job 159 is hi_short. Where is my configuration error ? Thanks for your time, Aurélia

2 4

for srun jobs, if we try to get UserCPU time by sacct. it always shows 0.
by squallabc＠126.com 16 Feb '26

16 Feb '26

Hi we have a slurm v25.05.2 setup. we found any srun jobs are always shows 0 on UserCPU . for sbatch jobs shoiws normal. is this expected or it is a bug ? Thanks. sacct -j 2948 --format=AveCPU,UserCPU AveCPU UserCPU ---------- ---------- 00:00:00 00:02:00 00:00:00

4 4

Sharding GPUs
by alessandr.dauria＠gmail.com 13 Feb '26

13 Feb '26

Dear Community, We are trying to activate sharding. Our Compute Node are configured with 64 cores, 4 phisical GPU MI250x ( 8 logical ) 4 Numa Domain. 1 Phisical Gpu / 2 logical GPU for each Numa Domain. 1 Logical GPU for each l3 cache domain gres.conf AutoDetect=rsmi NodeName=c6n[3339-3348] Name=shard File=/dev/dri/renderD128 Count=4 NodeName=c6n[3339-3348] Name=shard File=/dev/dri/renderD129 Count=4 NodeName=c6n[3339-3348] Name=shard File=/dev/dri/renderD130 Count=4 NodeName=c6n[3339-3348] Name=shard File=/dev/dri/renderD131 Count=4 NodeName=c6n[3339-3348] Name=shard File=/dev/dri/renderD132 Count=4 NodeName=c6n[3339-3348] Name=shard File=/dev/dri/renderD133 Count=4 NodeName=c6n[3339-3348] Name=shard File=/dev/dri/renderD134 Count=4 NodeName=c6n[3339-3348] Name=shard File=/dev/dri/renderD135 Count=4 If I ask 2 cores with block:cyclic I have the expected result srun -N1 -n2 -c1 --cpu-bind=cores -m block:cyclic --pty bash cpuset cgroup is 1,17 But if I add 2 shard in the request I don't expect this result srun -N1 -n2 -c1 --cpu-bind=cores --gres=shard:2 -m block:cyclic --pty bash cpuset cgroup is 1-2 ROCR_VISIBILE_DEVICES=0 Is it possibile request 2 sharding in round robin fashion, in order to run a multigpu job on different GPUs? srun -N1 -n2 -c1 --cpu-bind=cores --gres=shard:2 -m block:cyclic --pty bash Practically, I would to have this result cpuset cgroup is 1-17 ROCR_VISIBILE_DEVICES=0,1 Thank you in advance, Alessandro

1 1

Restarting slurmd kills still-running jobs
by Griebel, Christian 13 Feb '26

13 Feb '26

Dear community, Trying to implement the latest fix/patch for munged, we restarted the updated munged locally on the compute nodes with "systemctl restart munged", resulting in the sudden death of a lot of compute nodes' slurmd. Checking the jobs on the affected nodes, we saw a lot of user processes/jobs still running, which was good - yet "systemctl restart slurmd" cancelled all of them, eg. [2026-02-12T17:08:00.325] Cleaning up stray StepId=49695760.extern [2026-02-12T17:08:00.325] [49695760.extern] Sent signal 9 to StepId=49695760.extern [2026-02-12T17:08:00.325] slurmd version 25.05.5 started and all affected user jobs (even though having survived the death of their parent slurmd) were killed and re-queued... We have cgroups v2 (only, no hybrid), "Delegate=yes" in the slurmd unit and "ProctrackType=proctrack/cgroup" configured. Other sites do not see the same behavior (their user jobs survive a slurmd restart without issues), so now we are at a loss figuring out why the h.... this happens within our setup. Anyone experienced similar problems and got them solved...? Thanks in advance - -- ___________________________ Christian Griebel/HPC

6 5

sstat is not able check others job.
by squallabc＠126.com 13 Feb '26

13 Feb '26

Hi slurm version is v25.05.2. when I tried to query others job by sstat, it returns error. is there any configuration we can setup to fix this ? Thanks. sstat -j 3023.batch JobID AllocTRES MaxVMSize MaxVMSizeNode MaxVMSizeTask AveVMSize MaxRSS MaxRSSNode MaxRSSTask AveRSS MaxPages MaxPagesNode MaxPagesTask AvePages MinCPU MinCPUNode MinCPUTask AveCPU NTasks AveCPUFreq ReqCPUFreqMin ReqCPUFreqMax ReqCPUFreqGov ConsumedEnergy MaxDiskRead MaxDiskReadNode MaxDiskReadTask AveDiskRead MaxDiskWrite MaxDiskWriteNode MaxDiskWriteTask AveDiskWrite TRESUsageInAve TRESUsageInMax TRESUsageInMaxNode TRESUsageInMaxTask TRESUsageInMin TRESUsageInMinNode TRESUsageInMinTask TRESUsageInTot TRESUsageOutAve TRESUsageOutMax TRESUsageOutMaxNode TRESUsageOutMaxTask TRESUsageOutMin TRESUsageOutMinNode TRESUsageOutMinTask TRESUsageOutTot ------------ ---------- ---------- -------------- -------------- ---------- ---------- ---------- ---------- ---------- -------- ------------ -------------- ---------- ---------- ---------- ---------- ---------- -------- ---------- ------------- ------------- ------------- -------------- ------------ --------------- --------------- ------------ ------------ ---------------- ---------------- ------------ -------------- -------------- ------------------ ------------------ -------------- ------------------ ------------------ -------------- --------------- --------------- ------------------- ------------------- --------------- ------------------- ------------------- --------------- sstat: error: slurm_job_step_stat: there was an error with the request to atlsde8-reg0001 rc = Invalid user id sstat: error: problem getting step_layout for StepId=3023.batch: Invalid user id

3 2

MUNGE security issue (CVE-2026-25506)
by Tim Wickberg 12 Feb '26

12 Feb '26

MUNGE just announced a serious security issue as CVE-2026-25506: https://github.com/dun/munge/security/advisories/GHSA-r9cr-jf4v-75gh The issue is entirely within MUNGE - specifically in the munged daemon. However, as most Slurm installations explicitly trust MUNGE as the source of authentication, Slurm's security is immediately undermined if an attacker were to exploit that issue and gain access to the MUNGE key. On Slurm clusters you should treat that security issue as if it were local-root exploit. If you have switched to Slurm's built-in authentication ("auth/slurm"), you are not impacted by this issue. (However, we do not recommend switching over as a mitigation - you cannot safely change authentication types in Slurm while jobs are currently running.) I strongly encourage sites to get install the fixed packages from the upstream distros and restart the munged daemon on all nodes. If you install and restart munged promptly then Slurm should be unaffected. You do not need to rebuild Slurm for this issue. The MUNGE ABI/API remain unchanged, so there is no need to recompile Slurm, and there are no patches to apply to Slurm related to this issue. If you are concerned that an attacker could have compromised the MUNGE key itself, you may want to rotate that key. Unfortunately there's no mechanism to safely handle this key rotation with the cluster operational, and I do not recommend key rotation as long as you're installing and restarting MUNGE ASAP. - Tim -- Tim Wickberg Director, System Software, Slurm and Slinky, NVIDIA

11 16

Can I update when jobs are running?
by Gould, Ron (GRC-VBA0)[AEGIS] 11 Feb '26

11 Feb '26

The tl;dr is “This is my first upgrade since inheriting this Cluster, so I’m not sure what can or can’t be running during the upgrades.”. My Cluster is running an old version, 22.05.3. This is my first upgrade since inheriting the Cluster. As such, I’d like to install 22.05.4 because it’s a short jump, and it fixes the bug my users are seeing. The Cluster is composed of mostly Oracle Linux 8. I’m aware that I can upgrade within the two release compatibility window. I’ve read through the Upgrade guide and I’m unclear if downtime is required. Perhaps I’m unifying downtime requirements across different SLURM services where I should be interpreting that certain services have their own downtime requirements. https://slurm.schedmd.com/upgrades.html<https://slurm.schedmd.com/upgrades.html#procedure> In the Upgrade Procedure section<https://slurm.schedmd.com/upgrades.html#procedure>, there’re a couple questionable things. 1. Is downtime required? Does downtime == “all jobs must be halted”? “Downtime”, to me, seems like nothing should be running. This statement indicates that jobs can be running during the upgrade. Before considering the upgrade complete, wait for all jobs that were already running to finish. Any jobs started before the slurmd system was upgraded will be running with the old version of slurmstepd, so starting another upgrade or trying to use new features in the new version may cause problems. within a few paragraphs<https://slurm.schedmd.com/upgrades.html#downtime>, this message indicates I will need downtime: Refer to the expected downtime guidance in the following sections for each relevant Slurm daemon Further in the guide, in SLURMD (COMPUTE NODES)<https://slurm.schedmd.com/upgrades.html#slurmd>, I read Upgrades will not interrupt running jobs as long as SlurmdTimeout is not reached during the process This implies, at least, that existing running jobs can stay running. 2. There’re conflicting suggestions of using “rpm” to install the RPMs I built with “rpmbuild". Should I use “dnf localinstall ./*.rpm”? I’m inferring that dependencies will (not) be handled correctly. NOTE: If RPM/DEB packages are used, all packages present on each system must be upgraded together instead of piecewise. … Avoid using low-level package managers like rpm or dpkg as they may not properly enforce these dependencies However, in SLURMDBD (ACCOUNTING)<https://slurm.schedmd.com/upgrades.html#slurmdbd>, this statement Upgrade the slurmdbd daemon binaries, libraries, and its systemd unit file (if used). If using RPM/DEB packages, the package manager will take care of these indicates I should be using RPM packages. Lastly, to get to a current install, I need to step through multiple versions, with the condition that jobs started with a specific major version must finish within the compatibility window. GitLab has a tool where you plug in your current and intended versions and it tells you explicitly which versions are required along the upgrade path. I’d like a similarly explicit tool for SLURM, but I infer from the Compatibility Window<https://slurm.schedmd.com/upgrades.html#compatibility_window> that I can update like so: 1. Current = 22.05.3 2. 23.11 3. 25.05 4. 26.05 That feels like a big leapfrog between versions. I’d like the practice of upgrading. Is there any detriment to upgrading at a slower pace: 1. Current = 22.05.3 2. 22.05.11 3. 23.02.8 4. 23.11.11 5. 24.05.8 6. 24.11.7 7. 25.05.6 8. 25.11.2

9 26

Adding FPGAs for Slurm Tracking
by Raven Hallsby 09 Feb '26

09 Feb '26

Hey all, We have a very heterogeneous cluster with a mix of Intel & AMD machines, GPUs, and FPGAs. We use Slurm to allocate time on the CPUs right now, but do not manage the GPU or FPGAs with Slurm yet. Some of our work involves hardware/SoC design, and we have been using Firesim (https://fires.im/) for a good amount of our work. Firesim is a bunch of Python that sits on top of invoking programs to provide "seamless" functionality and orchestration. However, Firesim was designed for AWS where a single user controls all of the resources (FPGAs in our case) used for the simulation. We have gone through the effort to pull out the important bits from Firesim to write a shell script that we can execute locally to achieve the same thing as Firesim' orchestration, without the need for an orchestrator. We have two FPGAs in two separate but identical machines and multiple people that want to use them for very long periods of time (days or longer) and want to let people freely move between the two FPGAs. All of our other machines in the cluster use Slurm, so we are looking to have Slurm multiplex these FPGA jobs. We already have the NFS stuff set up, so shared disk is fine. The important thing in our desired Slurm setup is that no user is allocated the same FPGA at the same time for the same job (you cannot have multiple FPGA jobs running the same design in parallel, partly because of bitstreams, partly because of disk images). Slurm does not track FPGAs by default. I have looked into how to teach Slurm about the FPGAs and know that I need to tell Slurm about the FPGAs as a GRES through gres.conf. I just want to confirm that I have the correct steps below: 1. Mark the 2 FPGAs as GRES with gres.conf. What should they be marked as? Do I need anything special? 2. Then enable tracking on the FPGA GRES to make a TRES in slurm.conf. What should this be labeled as? I see other groups using GresTypes=gpu in their configuration. Would that apply here? Since FPGA usage is exclusive already, I could see the GPU GRES type applying. 3. Then the TRES can be used by a QoS to enforce limits? The other important question, will I need to write a Slurm plugin (GRES or otherwise) to manage and detect the FPGAs? I saw the files stuff for GRES-es, but want to be sure. Writing a plugin is not a big deal for us, but it is future maintenance that I would want to document.

1 0

Re: Dynamic MIG Question
by Davide DelVento 07 Feb '26

07 Feb '26

Aaron (or anyone else), Did you manage to get Dynamic MIG working in Slurm? I'm actually surprised that after these many years SchedMD has not implemented this feature yet, especially now that newer GPUs allow MIG repartitioning without being root. The only mention of this in their ticketing system is at https://support.schedmd.com/show_bug.cgi?id=11091#c8 (and subsequent c10) which say that it's not on their roadmap, but that was 5 years ago. I have heard that some users manage dynamic changes by draining nodes, running scripts to reconfigure MIG via nvidia-smi, bringing the node back and then submitting the job. Anybody here has tried that and with what success? I speculate that now that NVIDIA owns SchedMD perhaps this feature will be at a higher priority, but maybe not? Anybody knows anything about it and is not bound by an NDA to keep mum? Thanks On Wed, Nov 22, 2023 at 1:22 PM Davide DelVento <davide.quantum(a)gmail.com> wrote: > I assume you mean the sentence about dynamic MIG at > https://slurm.schedmd.com/gres.html#MIG_Management > Could it be supported? I think so, but only if one of their paying > customers (that could be you) asks for it. > > On Wed, Nov 22, 2023 at 11:24 AM Aaron Kollmann < > aaron.kollmann(a)student.hpi.de> wrote: > >> Hello All, >> >> I am currently working in a research project and we are trying to find >> out whether we can use NVIDIAs multi-instance GPU (MIG) dynamically in >> SLURM. >> >> For instance: >> >> - a user requests a job and wants a GPU but none is available >> >> - now SLURM will reconfigure a MIG GPU to create a partition (e.g. >> 1g.5gb) which becomes available and allocated immediately >> >> I can already reconfigure MIG + SLURM within a few seconds to start jobs >> on newly partitioned resources, but Jobs get killed when I restart slurmd >> on nodes with a changed MIG config. (see script example below) >> >> *Do you think it is possible to develop a plugin or change SLURM to the >> extent that dynamic MIG will be supported one day? * >> >> (The website says it is not supported) >> >> >> >> Best >> >> - Aaron >> >> >> >> >> #!/usr/bin/bash >> >> # Generate Start Config >> killall slurmd >> killall slurmctld >> nvidia-smi mig -dci >> nvidia-smi mig -dgi >> nvidia-smi mig -cgi 19,14,5 -i 0 -C >> nvidia-smi mig -cgi 0 -i 1 -C >> cp -f ./slurm-19145-0.conf /etc/slurm/slurm.conf >> slurmd -c >> slurmctld -c >> sleep 5 >> >> # Start a running and a pending job (the first job gets killed by slurm) >> srun -w gx06 -c 2 --mem 1G --gres=gpu:a100_1g.5gb:1 sleep 300 & >> srun -w gx06 -c 2 --mem 1G --gres=gpu:a100_1g.5gb:1 sleep 300 & >> sleep 5 >> >> # Simulate MIG Config Change >> nvidia-smi mig -i 1 -dci >> nvidia-smi mig -i 1 -dgi >> nvidia-smi mig -cgi 19,14,5 -i 1 -C >> cp -f ./slurm-2x19145.conf /etc/slurm/slurm.conf >> killall slurmd >> killall slurmctld >> slurmd >> slurmctld >> >

2 3

Can we avoid jobs near wall time from being preempted?
by iazaceta＠vicomtech.org 06 Feb '26

06 Feb '26

We have an HPC where the average job length is measured in days, not hours. Users are careful to add checkpoints to their jobs but even in that case, preempting a job that is close to its walltime (max: 14 days) can be very disruptive. I checked what options preemption offers but none seem to protect jobs near their finishing line. PreemptExempTime ensures a minimum job runtime and GraceTime allows for a grace time period after the job has been selected for preemption. Is there anything I am missing to achieve what I want? Thank you!

2 1

systemd unit ordering for dbd host
by Michael Gutteridge 06 Feb '26

06 Feb '26

We have a host dedicated to slurmdbd and mysql (Ubuntu 24.04, Slurm 24.11.4, mysql 8.0.45). A couple days ago unattended-upgrades upgraded the MySQL package which triggered a restart of mysql.service which looks to have caused some errors in slurmdbd. I don't think those errors were permanent, everything looks to be running as per usual currently. Enough backstory- the question is should we configure the slurmdbd systemd unit to stop slurmdbd before mysql is stopped? Currently there are minimal dependencies built into the unit: After=network-online.target remote-fs.target munge.service mysql.service mysqld.service mariadb.service sssd.service Wants=network-online.target But nothing to tell systemd to take down slurmdbd when the mysql unit is stopped. Is there *any* reason we'd want slurmdbd running if mysql wasn't? Are there any problems I'd cause by creating such a dependency? I do plan to exclude mysql from future unattended upgrading, but I'd also like to keep our systemd units sensible. Thanks - Michael

3 3

How to get strigger event information?
by Mauricio Pinto 03 Feb '26

03 Feb '26

Greetings, I am managing a cluster using SLURM, and want to use strigger to automate notifications about certain events like jobs or nodes failing or changing states, slurmctld failing, etc. I want the notifications I send to include information about the event, like which node, which state, which job ID, and so on. However, so far I haven't found documentation on how to get these values. I did find a related thread <https://groups.google.com/g/slurm-users/c/NhrlL32q0Io/m/HKVd9l1yDgAJ> in the google groups archive. One of the replies includes a script which uses environment variables such as $SLURM_JOB_ID and $SLURM_JOB_NAME. How are these environment variables available? Is there documentation on which environment variables are available to strigger scripts? I'd appreciate any guidance you can provide. On a separate note, I just joined this mailing list and haven't seen any community guidelines, preferred email format, etc. Please feel free to point them out to me or make suggestions if you have any. Thanks, Mauricio

2 2

Configless Slurm Error: failed to fetch remote configs
by Xaver Stiensmeier 30 Jan '26

30 Jan '26

Hey everyone, in the past we set up clusters with configs on each node. Now we want to explore configless. Without changing anything else, we therefore followed: https://slurm.schedmd.com/configless_slurm.html and added 'enable_configless' in the config on the master: SlurmctldParameters=cloud_dns,idle_on_node_suspend,enable_configless,reconfig_on_restart and start each worker's slurmd with the conf-server parameter: # Override systemd service to set conditional path [Service] ExecStart= ExecStart=/usr/sbin/slurmd --conf-server=master However, this leads to: slurmd: error: _fetch_child: failed to fetch remote configs: Protocol authentication error slurmd: error: _establish_configuration: failed to load configs. Retrying in 10 seconds. on the workers and on the master (/var/log/slurm/slurmctld) to: [2026-01-16T10:00:06.681] error: Munge decode failed: Invalid credential [2026-01-16T10:00:06.681] auth/munge: _print_cred: ENCODED: Thu Jan 01 00:00:00 1970 [2026-01-16T10:00:06.681] auth/munge: _print_cred: DECODED: Thu Jan 01 00:00:00 1970 [2026-01-16T10:00:06.681] error: slurm_unpack_received_msg: [[worker]:24295] auth_g_verify: REQUEST_CONFIG has authentication error: Unspecified error [2026-01-16T10:00:06.681] error: slurm_unpack_received_msg: [[worker]:24295] Protocol authentication error The munge key setup is the same as before so I don't think there is anything wrong with it unless something changes with configless (slurm.conf): AuthType=auth/munge CryptoType=crypto/munge AuthAltTypes=auth/jwt AuthAltParameters=jwt_key=/etc/slurm/jwt-secret.key I found https://groups.google.com/g/slurm-users/c/Q7FVkhx-bOs but this seems unrelated as both can talk fine with each other: worker:~$ nc -zv master 6817 Connection to master (192.168.20.169) 6817 port [tcp/*] succeeded! I tried adding more "-v" to the slurmd start, but that did not give more information. I am unsure how to debug this further. Somehow I think it must be a munge issue, but I am confused as this part hasn't changed. Best regards, Xaver

2 6

Nodes removed from topology after suspend in 25.11.2
by Franky Backeljauw 29 Jan '26

29 Jan '26

Hi all We have upgraded to version 25.11.2 and are now noticing that nodes are removed getting removed from the topology/tree when the node gets suspended. In the slurmctld.log we see things like this: [2026-01-29T23:31:32.517] POWER: power_save: suspending nodes node1 [2026-01-29T23:32:37.536] debug2: _update_node_features_post: nodes node1 active features set to: feature1 [2026-01-29T23:32:37.536] debug2: topology/tree: topology_p_add_rm_node: topology_p_add_rm_node: remove node1 from switch1 If we later on run a job with: srun -w node1 --pty bash then we see the following: [2026-01-30T00:08:04.004] debug2: NodeSet for JobId=1234 [2026-01-30T00:08:04.005] _pick_best_nodes: JobId=1234 never runnable in partition part1 [2026-01-30T00:08:04.005] sched: schedule: JobId=1234 non-runnable: Requested topology configuration is not available [2026-01-30T00:08:04.005] debug2: _schedule: setting JobId=1234 to "BadConstraints" (Requested topology configuration is not available) This worked without any issues in the previous version 25.05.2, so something has change in the newer version 25.11.2. My guess is something with dynamic nodes and/or active versus available features, but it’s just not clear :-( Ideas anyone??? Our setup includes in slurm.conf (trimmed): TopologyPlugin = topology/tree NodeName=node1 Features=feature1 NodeSet=set1 Feature=feature1 PartitionName=part1 Nodes=set1 [...] SuspendProgram = /power_save/suspend.sh ResumeProgram = /power_save/resume.sh ReconfigFlags = KeepPowerSaveSettings In topology.conf: SwitchName=switch1 Nodes=node1 The SuspendProgram and ResumeProgram scripts use tuned-adm to change the power profile (to powersave and hpc-compute resp.). When looking at the node itself, after suspend, it shows (trimmed): NodeName=node1 AvailableFeatures=feature1 ActiveFeatures=feature1 State=IDLE+POWERED_DOWN PARTITION=part1 I hope someone can shed a light on this issue... Thanks in advance for any reply! -- Kind regards Franky

1 0

sacct 25.11.2: --state filter returns no results
by Norman Gaywood 27 Jan '26

27 Jan '26

Hi all, I have recently upgraded my cluster to Slurm 25.11.2 (running on Rocky Linux 9). slurm-25.11.2-1.el9.x86_64 built locally. This time I built accounting in and so I'm new to sacct. When I run sacct without a state filter, I see the jobs correctly marked as COMPLETED: sacct -a -S 2026-01-26 --format=JobID,State | grep COMPLETED | head -10 9 COMPLETED 9.batch COMPLETED 9.extern COMPLETED 9.0 COMPLETED 39 COMPLETED 39.batch COMPLETED 39.extern COMPLETED 39.0 COMPLETED 40 COMPLETED 40.batch COMPLETED When I attempt to filter for those exact states (using either the short or long flag), the output is empty: sacct -a -S 2026-01-26 --format=JobID,State --state=completed JobID State ------------ ---------- (no output beyond the heading) Am I using it wrong? Cheers, Norm.

2 2

opposite of --array
by Herbert Fruchtl 21 Jan '26

21 Jan '26

Folks, When I use sacct, it always shows all tasks of an array job individually. This is supposed to be switched on by --array, but it seems to be the default. How do I switch it off? Thanks in advance, Herbert -- Herbert Fruchtl (he/him) Senior Scientific Computing Officer / HPC Administrator School of Chemistry, IT Services University of St Andrews -- The University of St Andrews is a charity registered in Scotland: No SC013532

2 3

building EL10 packages
by Brian Andrus 17 Jan '26

17 Jan '26

Hopefully someone has already busted through this wall... Currently trying to build slurm for the EL10 distros. Just tried 25.11.2 (been trying .1 as well) straight from tarball to rpms. The issue trying to build so far is that there seems to be no http-parser package in the repos (trying rocky 10 and centos stream 10). Ok, so I disable slurmrestd and rpmbuild runs. It still warns about http-parser missing, but packages come out. Now, when I try to run slurmctld/slurmdbd, I get an error: //usr/sbin/slurmctld: symbol lookup error: /usr/lib64/slurm/auth_slurm.so: undefined symbol: jwt_Base64encode / This is even on the build system... I've tried enabling developer mode even, with no luck. Starting to wonder if there is a breaking change in the EL10 distro line. Anyone have insight here? Thanks in advance, Brian Andrus

3 3

Best practice instructions and packages for Debian/Ubuntu full-upgrade?
by Steffen Grunewald 15 Jan '26

15 Jan '26

Good morning, long story: Every two years, some time after a release of Debian or Ubuntu LTS, when evaluations have ended and configurations adapted or rewritten and some reasonable maintenance date has been agreed upon by users' representatives (and directors!) and admins, we're in the situation to perform a full-upgrade (dist-upgrade) of all the machines that keep important data (while the compute nodes just get a fresh install). With the old 9-month release cycle of Slurm, in the past there was a slim chance that the upgrade from the version provided with the old release to the new release's one was small enough (since 3*9>24), but with the new 6-month cycle (4*6=24) there will always be one version too much in between. For a more or less painless transition, the manager machine running slurmdbd and slurmctld would need an intermediate version - which is not provided by Debian or Ubuntu at the time of the upgrade. Long story shorter: Provided you run Slurm on Debian/Ubuntu: Where do you get that necessary intermediate version from? I'll have to upgrade from 22.05.8-4+deb12u3 (Bookworm) to 24.11.5-4 (Trixie) (while I'm expecting the Slurm developers to urge me to proceed to 25.11.x, I couldn't find *any* deb packages for that, plus it would immediately break Ubuntu LTS integration since Noble is at 23.11.4-1.2ubuntu5). I'd need 23.11 for Debian (Bookworm *or* Trixie) for the half-step upgrade of slurmdbd's databases, and I'd like to bump Ubuntu's version to 24.11 to eventually add our GPU machines to the cluster at a later point. Long story short: Does someone keep those intermediate versions, and maybe builds ahead of the official distro ones? I can't be alone with this problem... Thanks for any pointer, Steffen -- Steffen Grunewald, Cluster Administrator Max Planck Institute for Gravitational Physics (Albert Einstein Institute) Am Mühlenberg 1 * D-14476 Potsdam-Golm * Germany ~~~ Fon: +49-331-567 7274 Mail: steffen.grunewald(at)aei.mpg.de ~~~

4 3

We are pleased to announce the availability of Slurm versions 25.11.2 and 25.05.6.
by Marshall Garey 15 Jan '26

15 Jan '26

We are pleased to announce the availability of Slurm versions 25.11.2 and 25.05.6. Changes in 25.11.2 include fixing potential slurmctld state save file corruption while using the rpc_queue experimental feature, preventing PMIx 5.0.8 and 5.0.9 clients from hanging when connecting to the PMIx server, correctly expanding srun filename format identifiers, and various stability issues. Changes in 25.05.6 include fixing various stability issues. The full list of changes are available in the CHANGELOG files for each version: https://github.com/SchedMD/slurm/blob/slurm-25.11/CHANGELOG/slurm-25.11.md https://github.com/SchedMD/slurm/blob/slurm-25.05/CHANGELOG/slurm-25.05.md Slurm can be downloaded from: https://www.schedmd.com/download-slurm/ -- Marshall Garey Senior System Software Engineer NVIDIA

1 0

Build 22.05.8 for Debian Trixie?
by Steffen Grunewald 15 Jan '26

15 Jan '26

Good afternoon, we're still running our HPC cluster on Debian 12 Bookworm, which comes with Slurm 22.05.8 - no issues so far. Yesterday, another machine was added as a submit node (slurm-client only), with Debian 13 Trixie / Slurm 24.11.5. Now on that the commands (sinfo etc.) don't work and the slurmctld logs "Incompatible versions of client and server code". Since upgrading the whole cluster is not an option yet: Has someone attempted (and possibly succeeded) to build 22.05.8 (or 23.11.4? which IIRC would be the last compatible one) for Trixie, and would be willing to share ideas? Thanks, Steffen -- Steffen Grunewald, Cluster Administrator Max Planck Institute for Gravitational Physics (Albert Einstein Institute) Am Mühlenberg 1 * D-14476 Potsdam-Golm * Germany ~~~ Fon: +49-331-567 7274 Mail: steffen.grunewald(at)aei.mpg.de ~~~

4 6

Socket memory binding (NUMA). cpu-bind possible with srun, not sbatch
by Rémy Dernat 14 Jan '26

14 Jan '26

Hi, I am looking at that useful documentation https://slurm.schedmd.com/cpu_management.html We have people complaining about memory performance issues while running highly distributed jobs in a shared HPC cluster environment. After looking into it, we saw that is either because of concurrent access to the memory with other users, or because we have jump over memory from a socket to another (in a Numa architecture). Until now, our "easy" answer was to use "exclusive" mode in sbatch, to ensure avoiding any concurrent memory access, and using numactl to check if the job is bound to the other socket. However, I am looking to a better solution, as exclusive mode took all of a big node (we have only big nodes...), and numactl just check if we will have poor performances or not. I checked the slurm.conf parameters, but all I saw is about modifying selectType. However, I cannot use other selectType as we have GPU, so we are using cons_tres. Moreover, we already have a very complicated Slurm configuration, and I would like to avoid any side effect. I am thinking about talking to our user about the `--cpu-bind` (https://slurm.schedmd.com/srun.html#OPT_cpu-bind) method, but I am not sure how to use it, and it seems to be limited to srun ... ? From a job point of view, I know there are some programs to deal with that, like likwid or placement (but not entirely ?), but that does not seem easy to use, and a slurm would be more suitable and more generic. Do you have any idea on how to deal with these issues ? Thanks, Best regards, Rémy Dernat

1 0

slurmctld hourly: Unexpected missing socket error
by Jason Ellul 13 Jan '26

13 Jan '26

Hi all, I am hoping someone can help with our problem. Every hour after restarting slurmctld the controller becomes unresponsive to commands for 1 sec, reporting errors such as: [2024-07-15T11:45:48.509] error: slurm_send_node_msg: [socket:[934767]] slurm_bufs_sendto(msg_type=RESPONSE_JOB_INFO) failed: Unexpected missing socket error [2024-07-15T11:45:48.509] error: slurm_send_node_msg: [socket:[934760]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-07-15T11:45:48.509] error: slurm_send_node_msg: [socket:[934875]] slurm_bufs_sendto(msg_type=RESPONSE_JOB_INFO) failed: Unexpected missing socket error [2024-07-15T11:45:48.509] error: slurm_send_node_msg: [socket:[934906]] slurm_bufs_sendto(msg_type=RESPONSE_JOB_INFO) failed: Unexpected missing socket error [2024-07-15T11:45:48.509] error: slurm_send_node_msg: [socket:[939016]] slurm_bufs_sendto(msg_type=RESPONSE_JOB_INFO) failed: Unexpected missing socket error It occurs consistently at around the hour mark, but generally not at other times, unless we run a reconfigure or restart the controller. We don’t see any issues in the slurmdbd.log and the errors are also always msg type RESPONSE. We have tried building a new server on different infrastructure, but the problem has persisted. Yesterday we even tried updating slurm to v24.05.1 in the hope that may provide a fix. During our troubleshooting we have: Set: * SchedulerParameters = max_rpc_cnt=400,sched_min_interval=50000,sched_max_job_start=300,batch_sched_delay=20,bf_resolution=600,bf_min_prio_reserve=2000,bf_min_age_reserve=600 * SlurmctldPort = 6808-6817 But although the stats in sdiag have improved we still see the errors. On our monitoring software we also see a drop in network and disk activity during this 1 second, always at approx. 1 hour after restarting the controller. Many Thanks in advance Jason Jason Ellul Head - Research Computing Facility Office of Cancer Research Peter MacCallum Cancer Centre

6 8

'sacct -a' missing running jobs 'held' by user
by Lee 08 Jan '26

08 Jan '26

Hello, I am using slurm 23.02.6. I have a strange issue. I periodically use sacct to dump job data. I then generate reports based on the resource allocation of our users. Recently, I noticed some 'missing' jobs from my query. The missing jobs came from a user who had a large array job, who then 'held' all of the array jobs. This included 'holding' the Running array jobs. Now, if I run `sacct -a -S YYYY-MM-DD --format="jobidraw,jobname"`, the job will be missing from that query. However, if I query specifically for that job, i.e. `sacct -j RAWJOBID -S YYYY-MM-DD --format="jobidraw,jobname", the job is present. *Question* : 1. How can I include the 'held' running job when I do my bulk query with `sacct -a`? Finding these outliers and adding them ad-hoc to my dumped file is too laborious and isn't feasible. *Minimum working example *: #. Submit a job : myuser@clusterb01:~$ srun --pty bash # landed on dgx29 #. Hold job myuser@clusterb01:~$ scontrol hold 120918 myuser@clusterb01:~$ scontrol show job=120918 JobId=120918 JobName=bash UserId=myuser(123456) GroupId=rdusers(7000) MCS_label=N/A Priority=0 Nice=0 Account=allusers QOS=normal JobState=*RUNNING* Reason=*JobHeldUser* Dependency=(null) Requeue=0 Restarts=0 BatchFlag=0 Reboot=0 ExitCode=0:0 RunTime=00:00:29 TimeLimit=7-00:00:00 TimeMin=N/A SubmitTime=2025-12-15T13:31:28 EligibleTime=Unknown AccrueTime=Unknown StartTime=2025-12-15T13:31:28 EndTime=2025-12-22T13:31:28 Deadline=N/A SuspendTime=None SecsPreSuspend=0 LastSchedEval=2025-12-15T13:31:28 Scheduler=Main Partition=defq AllocNode:Sid=clusterb01:4145861 ReqNodeList=(null) ExcNodeList=(null) NodeList=dgx29 BatchHost=dgx29 NumNodes=1 NumCPUs=2 NumTasks=1 CPUs/Task=1 ReqB:S:C:T=0:0:*:* ReqTRES=cpu=1,mem=9070M,node=1,billing=1 AllocTRES=cpu=2,mem=18140M,node=1,billing=2 Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=* MinCPUsNode=1 MinMemoryCPU=9070M MinTmpDiskNode=0 Features=(null) DelayBoot=00:00:00 OverSubscribe=OK Contiguous=0 Licenses=(null) Network=(null) Command=bash WorkDir=/home/myuser Power= #. Release job myuser@clusterb01:~$ scontrol release 120918 #. Show job again myuser@clusterb01:~$ scontrol show job=120918 JobId=120918 JobName=bash UserId=myuser(123456) GroupId=rdusers(7000) MCS_label=N/A Priority=1741 Nice=0 Account=allusers QOS=normal JobState=*RUNNING* Reason=*None* Dependency=(null) Requeue=0 Restarts=0 BatchFlag=0 Reboot=0 ExitCode=0:0 RunTime=00:01:39 TimeLimit=7-00:00:00 TimeMin=N/A SubmitTime=2025-12-15T13:31:28 EligibleTime=Unknown AccrueTime=Unknown StartTime=2025-12-15T13:31:28 EndTime=2025-12-22T13:31:28 Deadline=N/A SuspendTime=None SecsPreSuspend=0 LastSchedEval=2025-12-15T13:31:28 Scheduler=Main Partition=defq AllocNode:Sid=clusterb01:4145861 ReqNodeList=(null) ExcNodeList=(null) NodeList=dgx29 BatchHost=dgx29 NumNodes=1 NumCPUs=2 NumTasks=1 CPUs/Task=1 ReqB:S:C:T=0:0:*:* ReqTRES=cpu=1,mem=9070M,node=1,billing=1 AllocTRES=cpu=2,mem=18140M,node=1,billing=2 Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=* MinCPUsNode=1 MinMemoryCPU=9070M MinTmpDiskNode=0 Features=(null) DelayBoot=00:00:00 OverSubscribe=OK Contiguous=0 Licenses=(null) Network=(null) Command=bash WorkDir=/home/myuser/ Power= #. In slurmctld, I see : root@clusterb01:~# grep 120918 /var/log/slurmctld [2025-12-15T13:31:28.706] sched: _slurm_rpc_allocate_resources JobId=120918 NodeList=dgx29 usec=1269 [2025-12-15T13:31:47.751] sched: _hold_job_rec: hold on JobId=120918 by uid 123456 [2025-12-15T13:31:47.751] sched: _update_job: set priority to 0 for JobId=120918 [2025-12-15T13:31:47.751] _slurm_rpc_update_job: complete JobId=120918 uid=123456 usec=189 [2025-12-15T13:32:48.081] sched: _release_job_rec: release hold on JobId=120918 by uid 123456 [2025-12-15T13:32:48.081] _slurm_rpc_update_job: complete JobId=120918 uid=123456 usec=268 [2025-12-15T13:33:20.552] _job_complete: JobId=120918 WEXITSTATUS 0 [2025-12-15T13:33:20.552] _job_complete: JobId=120918 done #. Job is NOT missing, when identifying it by jobid myuser@clusterb01:~$ sacct -j 120918 --starttime=2025-12-12 -o "jobidraw,jobid,node,start,end,elapsed,state,submitline%30" JobIDRaw JobID NodeList Start End Elapsed State SubmitLine ------------ ------------ --------------- ------------------- ------------------- ---------- ---------- ------------------------------ 120918 120918 dgx29 2025-12-15T13:31:28 2025-12-15T13:33:20 00:01:52 COMPLETED srun --pty bash 120918.0 120918.0 dgx29 2025-12-15T13:31:28 2025-12-15T13:33:20 00:01:52 COMPLETED srun --pty bash #. Job IS *missing* when using -a myuser@clusterb01:~$ sacct -a --starttime=2025-12-12 -o "jobidraw,jobid,node,start,end,elapsed,state,submitline%30" | grep -i 120918 ## *MISSING* Best regards, Lee

3 4

New, faster, simpler makefiles.
by Alex Tingle 08 Jan '26

08 Jan '26

Hello, I've written a set of replacement makefiles for Slurm, which are faster, and simpler than Automake. Faster incremental builds make the code much more pleasant to work with. Try it out here: https://github.com/alex-smartptr/slurm Instructions: 1. Run `./configure` as usual (all settings work as before). 2. `make -s` You can find a full README here: https://github.com/alex-smartptr/slurm/blob/newmake/mk/README.md I'm looking for feedback, especially problems that I've not foreseen, but also suggestions for improvements. -Alex Tingle --

1 0

Announcing slurm-quota: CPU and GPU time quotas for Slurm
by Rémi Palancher 08 Jan '26

08 Jan '26

Hello Slurm users, I would like to announce slurm-quota, an open-source tool providing time-based CPU and GPU quota accounting and enforcement for Slurm users and accounts. Slurm does not currently provide native enforcement of consumption-based quotas (e.g. CPU or GPU minutes). slurm-quota addresses this by integrating with Slurm job submission and job completion mechanisms. Key features include: - Definition and enforcement of CPU and GPU time quotas at user and account levels - Support for heterogeneous GPU clusters using billing factors - Clear command-line reporting of usage, remaining quota, with visual progress bars - Lightweight design with minimal dependencies (Python, SQLite and few common Lua libraries) slurm-quota is released under the MIT license and is available on GitHub, along with documentation describing architecture, deployment, and integration details. GitHub Project: https://github.com/rackslab/slurm-quota Comments, questions, and feedback are very welcome! -- Rémi Palancher Rackslab: Open Source Solutions for HPC Operations https://rackslab.io

2 2

pam_slurm_adopt malfunct after slurm upgrade to 25.11
by taleintervenor＠sjtu.edu.cn 17 Dec '25

17 Dec '25

Hello everyone: We recently upgrade slurm to 25.11 and find the pam_slurm_adopt got broken. This cause the users cannot ssh to the compute node where their jobs is running on. Of course we have make sure all the slurm related packages have been upgraded together. Simplest test process is like: ``` > cat test1.sh #!/bin/bash #SBATCH --job-name=test #SBATCH --partition=debug #SBATCH --nodes=1 #SBATCH --nodelist=cas639 sleep 6000 > sbatch test1.sh Submitted batch job 51047091 > squeue JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON) 51047091 debug test tester R 0:28 1 cas639 > ssh cas639 (wait for a long time...) Connection closed by 172.16.3.129 port 22 (finally failed to ssh) ``` on the target compute node, we can see the following debug message from pam_slurm_adopt.so: ``` cas639 pam_slurm_adopt[1007301]: debug2: _establish_config_source: using config_file=/etc/slurm/slurm.conf (default) cas639 pam_slurm_adopt[1007301]: debug: slurm_conf_init: using config_file=/etc/slurm/slurm.conf cas639 pam_slurm_adopt[1007301]: debug: Reading slurm.conf file: /etc/slurm/slurm.conf cas639 pam_slurm_adopt[1007301]: PreemptMode=GANG is a cluster-wide option and cannot be set at partition level, option ignored. cas639 pam_slurm_adopt[1007301]: debug3: Trying to load plugin /usr/lib64/slurm/auth_munge.so cas639 pam_slurm_adopt[1007301]: debug3: plugin_load_from_file->_verify_syms: found Slurm plugin name:Munge authentication plugin type:auth/munge version:0x190b00 cas639 pam_slurm_adopt[1007301]: debug: auth/munge: init: loaded cas639 pam_slurm_adopt[1007301]: debug3: Success. cas639 pam_slurm_adopt[1007301]: debug3: Trying to load plugin /usr/lib64/slurm/certgen_script.so cas639 pam_slurm_adopt[1007301]: debug3: plugin_load_from_file->_verify_syms: found Slurm plugin name:Certificate generation script plugin type:certgen/script version:0x190b00 cas639 pam_slurm_adopt[1007301]: debug: certgen/script: init: loaded cas639 pam_slurm_adopt[1007301]: debug3: Success. cas639 pam_slurm_adopt[1007301]: debug3: Trying to load plugin /usr/lib64/slurm/hash_k12.so cas639 pam_slurm_adopt[1007301]: debug3: plugin_load_from_file->_verify_syms: found Slurm plugin name:KangarooTwelve hash plugin type:hash/k12 version:0x190b00 cas639 pam_slurm_adopt[1007301]: debug: hash/k12: init: init: KangarooTwelve hash plugin loaded cas639 pam_slurm_adopt[1007301]: debug3: Success. cas639 pam_slurm_adopt[1007301]: debug3: Trying to load plugin /usr/lib64/slurm/tls_none.so cas639 pam_slurm_adopt[1007301]: debug3: plugin_load_from_file->_verify_syms: found Slurm plugin name:Null tls plugin type:tls/none version:0x190b00 cas639 pam_slurm_adopt[1007301]: debug: tls/none: init: tls/none loaded cas639 pam_slurm_adopt[1007301]: debug3: Success. cas639 pam_slurm_adopt[1007301]: debug3: Trying to load plugin /usr/lib64/slurm/accounting_storage_slurmdbd.so cas639 pam_slurm_adopt[1007301]: debug3: plugin_load_from_file->_verify_syms: found Slurm plugin name:Accounting storage SLURMDBD plugin type:accounting_storage/slurmdbd version:0x190b00 cas639 pam_slurm_adopt[1007301]: accounting_storage/slurmdbd: init: Accounting storage SLURMDBD plugin loaded cas639 pam_slurm_adopt[1007301]: debug3: Success. cas639 pam_slurm_adopt[1007301]: debug3: Trying to load plugin /usr/lib64/slurm/cred_munge.so cas639 pam_slurm_adopt[1007301]: debug3: plugin_load_from_file->_verify_syms: found Slurm plugin name:Munge credential signature plugin type:cred/munge version:0x190b00 cas639 pam_slurm_adopt[1007301]: cred/munge: init: Munge credential signature plugin loaded cas639 pam_slurm_adopt[1007301]: debug3: Success. cas639 pam_slurm_adopt[1007301]: debug: Reading cgroup.conf file /etc/slurm/cgroup.conf cas639 pam_slurm_adopt[1007301]: debug4: found StepId=51047091.extern cas639 pam_slurm_adopt[1007301]: debug4: found StepId=51047091.batch cas639 pam_slurm_adopt[1007301]: Connection by user tester: user has only one job 51047091 cas639 pam_slurm_adopt[1007301]: debug: _adopt_process: trying to get StepId=51047091.extern to adopt 1007301 cas639 pam_slurm_adopt[1007301]: debug: Leaving stepd_add_extern_pid cas639 pam_slurm_adopt[1007301]: debug: Leaving stepd_get_x11_display cas639 pam_slurm_adopt[1007301]: debug: entering stepd_get_namespace_fd ``` It looks like something block during stepd_get_namespace_fd? And we found nothing in slurmd log even with SlurmdDebug = debug5, so I guess the pam module had not run to the step to talk with slurmd (if it should). Would it be a compatibility problem between slurm25.11 and EL8 system or cgroup/v1? Or can anyone help to give some suggestion on how to further locate the fault point? Best regards, Hermes

4 6

Slurm version 25.11.1 is now available
by Marshall Garey 16 Dec '25

16 Dec '25

We are pleased to announce the availability of Slurm version 25.11.1. This release fixes two critical bugs when upgrading which caused older jobs to be aborted and slurmstepd to crash, a regression in 25.11 that broke pam_slurm_adopt, some stability issues in slurmctld, and various other minor to moderate bugs. The full list of changes are available in the CHANGELOG file: https://github.com/SchedMD/slurm/blob/slurm-25.11/CHANGELOG/slurm-25.11.md Slurm can be downloaded from: https://www.schedmd.com/download-slurm/ -- Marshall Garey Release Management, Support, and Development SchedMD LLC - Commercial Slurm Development and Support

1 0

SchedMD joins forces with NVIDIA
by Danny Auble 15 Dec '25

15 Dec '25

Today marks a new journey in the history of SchedMD - we are joining forces with NVIDIA. NVIDIA is committed to developing and supporting Slurm as the open-source vendor-neutral workload manager it has always been. For more details, please see NVIDIA's blog post: https://blogs.nvidia.com/blog/nvidia-acquires-schedmd/ Danny

1 0

Slurm 25.05 and 25.11 release video, slides from recent presentations
by Tim Wickberg 12 Dec '25

12 Dec '25

The release video covering what's new in Slurm 25.05 and 25.11 is online now on the SchedMDSlurm YouTube channel: https://youtu.be/gk42j2_kxFg The is the same content that we presented at the Slurm Community Birds-of-a-Feather session at SC'25 last month, but hopefully in a more broadly accessible location. The slides are in the publication archive as usual, as well as the other recent presentations from SC'25 and KubeCon NA 2025: https://www.schedmd.com/publications/ The direct link to the release sides is: http://slurm.schedmd.com/SC25/Slurm_BoF_SC25.pdf - Tim -- Tim Wickberg Chief Technology Officer, SchedMD LLC Commercial Slurm Development and Support

1 0

GPU usage in fair share factor
by Massimo Sgaravatto 12 Dec '25

12 Dec '25

Dear all I have these settings in my slurm.conf: PriorityType=priority/multifactor PriorityDecayHalfLife=7-0 PriorityFavorSmall=NO PriorityMaxAge=10-0 PriorityWeightAge=100000 PriorityWeightFairshare=1000000 PriorityWeightJobSize=100000 PriorityWeightPartition=100000 PriorityWeightQOS=100000 PriorityFlags=ACCRUE_ALWAYS,FAIR_TREE AccountingStorageTRES=gres/gpu,gres/gpu:nvidia-h100,gres/gpu:nvidia-l40s If I have got it right, with these settings, when calculating the Job_priority (I am referring to the formula in https://slurm.schedmd.com/priority_multifactor.html) the fair-share_factor is calculated only considering cores*seconds. So if a job also used some GPUs, this is not taken into account. Am I right ? If I want to take memory and GPUs into account as well (with different weights for different GPU models), my understanding is that I should use the TRESBillingWeights attribute, setting e.g: TRESBillingWeights="CPU=1.0,Mem=0.25G,gres/gpu=nvidia-h100=10.0,gres/gpu=nvidia-l40s=5.0" Is this correct ? Thanks, Massimo

2 4

Problems with salloc
by Gestió Servidors 10 Dec '25

10 Dec '25

Hello, I am getting some problems with "salloc" execution. My cluster is running SLURM v23.11.0. I'm going to explain problems: 1. My first problem is that until some previous version (I can't remember what version exactly), when I ran a "salloc", I got a console inside the assigned host. Then, I could execute whatever I wanted. However, now, after execute "salloc" (without forcing host), SLURM always tries to assign me the last host where a job has been executed. But if that host is now powered off, salloc waits and waits but not tries to connect to other host 2. Second problem is that previous execution gives me a host (the host is powered on), my session continues in the allocation host, not in the assigned host. So if I want to execute some program, I need to run with "srun". Is there anyway to go directly to the assigned host? 3. Third problem is a question. How can I limit the hosts where I (as cluster admin) allow to run a "salloc"? For example, I would like that when a user runs a "salloc", it were execute always in a partition with "x" hosts, avoiding SLURM to assign me a host of the list of hosts. Thanks.

1 0

Invalid generic resource (gres) specification after RMA
by Lee 04 Dec '25

04 Dec '25

Good afternoon, I have a cluster that is managed by Base Command Manager (v10) and it has several Nvidia DGXs. dgx09 is a problem child. The entire node was RMA'd and now it no longer behaves the same as my other DGXs. I think the below symptoms are caused by a single underlying issue. *Symptoms : * 1. When I look at our 8 non-MIG DGXs, via `scontrol show node=dgxXY | grep Gres`, 7/8 DGXs report "Gres=gpu:*H100*:8(S:0-1)" while dgx09 reports " Gres=gpu:*h100*:8(S:0-1)" 2. When I submit a job to this node, I get : $ srun --reservation=g09_test --gres=gpu:2 --pty bash srun: error: Unable to create step for job 105035: Invalid generic resource (gres) specification ### No job is running on the node, yet AllocTRES shows consumed resources... $ scontrol show node=dgx09 | grep -i AllocTRES *AllocTRES=gres/gpu=2* ### dgx09 : /var/log/slurmd contains no information ### slurmctld shows : root@h01:# grep 105035 /var/log/slurmctld [2025-11-13T07:44:56.380] sched: _slurm_rpc_allocate_resources JobId=105035 NodeList=dgx09 usec=3420 [2025-11-13T07:44:56.482] _job_complete: JobId=105035 WTERMSIG 1 [2025-11-13T07:44:56.483] _job_complete: JobId=105035 done *Configuration : * 1. gres.conf : # This section of this file was automatically generated by cmd. Do not edit manually! # BEGIN AUTOGENERATED SECTION -- DO NOT REMOVE AutoDetect=NVML NodeName=dgx[01,02] Name=gpu Type=1g.20gb Count=32 AutoDetect=NVML NodeName=dgx[03-10] Name=gpu Type=h100 Count=8 AutoDetect=NVML # END AUTOGENERATED SECTION -- DO NOT REMOVE 2. grep NodeName slurm.conf root@h01:# grep NodeName slurm.conf NodeName=dgx[01,02] RealMemory=2063937 Boards=1 SocketsPerBoard=2 CoresPerSocket=56 ThreadsPerCore=2 MemSpecLimit=30017 Gres=gpu:1g.20gb:32 Feature=location=local NodeName=dgx03-10] RealMemory=2063937 Boards=1 SocketsPerBoard=2 CoresPerSocket=56 ThreadsPerCore=2 MemSpecLimit=30017 Gres=gpu:H100:8 Feature=location=local 3. What slurmd detects on dgx09 root@dgx09:~# slurmd -C NodeName=dgx09 CPUs=224 Boards=1 SocketsPerBoard=2 CoresPerSocket=56 ThreadsPerCore=2 RealMemory=2063937 UpTime=8-00:39:10 root@dgx09:~# slurmd -G slurmd: gpu/nvml: _get_system_gpu_list_nvml: 8 GPU system device(s) detected slurmd: Gres Name=gpu Type=h100 Count=1 Index=0 ID=7696487 File=/dev/nvidia0 Cores=0-55 CoreCnt=224 Links=-1,0,0,0,0,0,0,0 Flags=HAS_FILE,HAS_TYPE,ENV_NVML slurmd: Gres Name=gpu Type=h100 Count=1 Index=1 ID=7696487 File=/dev/nvidia1 Cores=0-55 CoreCnt=224 Links=0,-1,0,0,0,0,0,0 Flags=HAS_FILE,HAS_TYPE,ENV_NVML slurmd: Gres Name=gpu Type=h100 Count=1 Index=2 ID=7696487 File=/dev/nvidia2 Cores=0-55 CoreCnt=224 Links=0,0,-1,0,0,0,0,0 Flags=HAS_FILE,HAS_TYPE,ENV_NVML slurmd: Gres Name=gpu Type=h100 Count=1 Index=3 ID=7696487 File=/dev/nvidia3 Cores=0-55 CoreCnt=224 Links=0,0,0,-1,0,0,0,0 Flags=HAS_FILE,HAS_TYPE,ENV_NVML slurmd: Gres Name=gpu Type=h100 Count=1 Index=4 ID=7696487 File=/dev/nvidia4 Cores=56-111 CoreCnt=224 Links=0,0,0,0,-1,0,0,0 Flags=HAS_FILE,HAS_TYPE,ENV_NVML slurmd: Gres Name=gpu Type=h100 Count=1 Index=5 ID=7696487 File=/dev/nvidia5 Cores=56-111 CoreCnt=224 Links=0,0,0,0,0,-1,0,0 Flags=HAS_FILE,HAS_TYPE,ENV_NVML slurmd: Gres Name=gpu Type=h100 Count=1 Index=6 ID=7696487 File=/dev/nvidia6 Cores=56-111 CoreCnt=224 Links=0,0,0,0,0,0,-1,0 Flags=HAS_FILE,HAS_TYPE,ENV_NVML slurmd: Gres Name=gpu Type=h100 Count=1 Index=7 ID=7696487 File=/dev/nvidia7 Cores=56-111 CoreCnt=224 Links=0,0,0,0,0,0,0,-1 Flags=HAS_FILE,HAS_TYPE,ENV_NVML *Questions : * 1. As far as I can tell, dgx09 is identical to all my non-MIG DGX nodes in terms of configuration and hardware. Why does scontrol report it having 'h100' with a lower case 'h' unlike the other dgxs which report with an upper case 'H'? 2. Why is dgx09 not accepting GPU jobs and afterwards it artificially thinks that there are GPUs allocated even though no jobs are on the node? 3. Are there additional tests / configurations that I can do to probe the differences between dgx09 and all my other nodes? Best regards, Lee

6 12

Doubts Regarding Definition of Metrics AveRSS and AveDiskWrite
by Manuel G. Marciani 03 Dec '25

03 Dec '25

Hello, fellow users: I have been using Slurm for the past three years, but recently I bumped into a doubt. I am using Slurm's (version 23.02.7) collected metrics (jobacct_gather/linux) to do a performance analysis of an application. I have read the documentation regarding the metrics (https://slurm.schedmd.com/sacct.html) but still find the Ave* metrics confusing, and more specifically the AveRSS and AveDiskWrite. AveDiskWrite is defined as "Average number of bytes written by all tasks in job." So, if I double the workload, which say that it had x avediskwrite, I should observe 2x. So far it is what I observed. But, then, if I double the resources while maintaining the workload I observe again x, and not 2x. So my suspicion is that the metric is the sum of written bytes across time, then divided by the number of nodes. But then with AveRSS, defined as "Average resident set size of all tasks in job," I observe what I expected with AveDiskWrite. That is, that this metric scales with the workload irrespective of the resources it has available. So I am not sure what the "Ave" references here. I would be thankful if someone could clarify the behavior, and even more grateful if someone could point me where in the code these metrics are aggregated and processed to be stored in the database. Many thanks, Manu. -- Manuel G. Marciani - マルシアニ·マヌエル First Stage Reseacher at Computational Earth Sciences (CES) - Earth Sciences Department Barcelona Supercomputing Center - Centro Nacional de Supercomputación Ph.D Student at Departament d'Arquitectura de Computadors (DAC) - Facultat d'Informàtica de Barcelona (FIB) Universitat Politècnica de Catalunya (UPC) BSC building Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain Desk BSC-PL0-6-20/8 mail to: manuel.gimenez(a)bsc.es mail to: manuel.gimenez.de.castro(a)upc.edu mail to: manuel.marciani(a)a.riken.jp mail to: manuel.gimenez.de.castro.marciani(a)hu-berlin.de

1 0

MIG and eBPF issues (Slurm 24.11.6)
by wk5ng＠uwaterloo.ca 28 Nov '25

28 Nov '25

Hi all, I'm having some trouble getting Slurm 24.11.6 to work with MIG, and the slurmd logs seem to point to an issue with eBPF. For some context, this is an LXD unprivileged container where I'm trying to get MIG to work with Slurm. Other compute nodes without MIG work fine and isolate the GPUs accordingly. What I'm seeing in slurmd logs: [2025-11-24T23:32:50.197] [331.interactive] cgroup/v2: cgroup_p_constrain_apply: CGROUP: EBPF Closing and loading bpf program into /sys/fs/cgroup/system.slice/slurmstepd.scope/job_331 [2025-11-24T23:32:50.197] [331.interactive] error: load_ebpf_prog: BPF load error (Operation not permitted). Please check your system limits (MEMLOCK). I've tried increasing the system limits for MEMLOCK by setting DefaultLimitMEMLOCK=infinity in /etc/systemd/system.conf, and I've copied my slurmd.service file below where I've set Delegate=yes and LimitMEMLOCK=infinity. Previously only Delegate=yes wasn't set (I had rifled through the cgroupv2 documentaton for Slurm and found that setting), but in both cases I see the same BPF load error. Just wondering if this was something that other people had come across before and maybe I'm doing something silly here. I've checked that my slurm.conf has the corresponding parameters set according to Slurm's own documentation for cgroup.conf and my cgroup.conf is also copied below. Some portion of the gres.conf is also copied below, and even though I tried AutoDetect=nvml for this node, it's still doesn't work, which was why I changed to manually setting it based off the output of slurmd -G. Maybe I should try switching back to cgroupv1 and see if that helps fix things, but I'm not sure at this point if MIG and Slurm are compatible using cgroupv1. I can send other parts of logs, configuration files etc. Any help would be greatly appreciated! ###### slurmd.service file [Unit] Description=Slurm node daemon After=network.target munge.service ConditionPathExists=/etc/slurm/slurm.conf [Service] Type=forking EnvironmentFile=-/etc/sysconfig/slurmd ExecStart=/usr/sbin/slurmd -d /usr/sbin/slurmstepd $SLURMD_OPTIONS ExecReload=/bin/kill -HUP $MAINPID PIDFile=/var/run/slurmd.pid KillMode=process LimitNOFILE=51200 Delegate=yes LimitMEMLOCK=infinity LimitSTACK=infinity [Install] WantedBy=multi-user.target ###### cgroup.conf CgroupPlugin=autodetect ConstrainCores=yes ConstrainDevices=yes ConstrainRAMSpace=yes ##### gres.conf NodeName=gpu-3 AutoDetect=nvml Name=gpu NodeName=gpu-4 Name=gpu MultipleFiles=/dev/nvidia0,/dev/nvidia-caps/nvidia-cap30,/dev/nvidia-caps/nvidia-cap31

3 4

Slinky version 1.0.0 is now available
by Marrlow Warnicke 20 Nov '25

20 Nov '25

We are pleased to announce the availability of Slinky version 1.0.0! Slinky is SchedMD's set of components to integrate Slurm in Kubernetes environments. Slinky consists of two main projects, slurm-operator and slurm-bridge. Our landing page is here: https://www.slinky.ai The slurm-operator handles cases where users wish to run Slurm jobs within the Kubernetes cluster. Release v1.0.0: https://github.com/SlinkyProject/slurm-operator/tree/release-1.0 New features include hybrid support, integration points for external tooling, and workload protection and isolation. The full changelog may be found here: https://github.com/SlinkyProject/slurm-operator/blob/main/CHANGELOG/CHANGEL… The slurm-bridge handles the cases where you want Slurm scheduling on your cluster and to be able to run either Kubernetes or Slurm jobs. Release v1.0.0: https://github.com/SlinkyProject/slurm-bridge/tree/release-1.0 New features include support for DRA Extended Resources, support for TaintToleration and VolumeBinding plugins, and integration of new Slurm 25.11 support for granular node resource allocation assignments with GRES. The full changelog may be found here: https://github.com/SlinkyProject/slurm-bridge/blob/main/CHANGELOG/CHANGELOG… The SlinkyProject registry now has containers that support both amd64 (x86_64) and arm64 (aarch64) architectures. You may find these here: https://github.com/orgs/SlinkyProject/packages Apologies for the redundant email-we needed to clarify the release version. -- Marlow Warnicke Principal Cloud Engineer Commercial Slurm - and Slinky - Development and Support

1 0

Slinky version 1.0.0 is now available
by Marrlow Warnicke 20 Nov '25

20 Nov '25

We are pleased to announce the availability of Slinky version 1.0.0-rc1. Slinky is SchedMD’s set of components to integrate Slurm in Kubernetes environments. Slinky consists of two main projects, slurm-operator and slurm-bridge. Our landing page is here: https://www.slinky.ai The slurm-operator handles cases where users wish to run Slurm jobs within the Kubernetes cluster. Release v1.0.0-rc1: https://github.com/SlinkyProject/slurm-operator/tree/release-1.0 New features include hybrid support, integration points for external tooling, and workload protection and isolation. The full changelog may be found here: https://github.com/SlinkyProject/slurm-operator/blob/main/CHANGELOG/CHANGEL… The slurm-bridge handles the cases where you want Slurm scheduling on your cluster and to be able to run either Kubernetes or Slurm jobs. Release v1.0.0-rc1: https://github.com/SlinkyProject/slurm-bridge/tree/release-1.0 New features include support for DRA Extended Resources, support for TaintToleration and VolumeBinding plugins, and integration of new Slurm 25.11 support for granular node resource allocation assignments with GRES. The full changelog may be found here: https://github.com/SlinkyProject/slurm-bridge/blob/main/CHANGELOG/CHANGELOG… The SlinkyProject registry now has containers that support both amd64 (x86_64) and arm64 (aarch64) architectures. You may find these here: https://github.com/orgs/SlinkyProject/packages -- Marlow Warnicke Principal Cloud Engineer, SchedMD LLC Commercial Slurm - and Slinky - Development and Support

1 0

Recommended Stable Slurm Version for >100P Scale Clusters
by KK 18 Nov '25

18 Nov '25

We are currently planning to deploy a new HPC system with a total compute capacity exceeding 100 PF. As part of our preparation, we would like to understand which Slurm versions are considered stable and widely used at this scale. Could you please share your recommendations or experience regarding: 1. Which Slurm version is currently running reliably on very large-scale clusters (>100 PF or >10k nodes)? 2. Whether there are any versions we should avoid due to known issues at large scale. 3. Any best practices or configuration considerations for Slurm deployments of this size.

3 2

Slurm versions 25.05.5 and 24.11.7 are now available
by Marshall Garey 11 Nov '25

11 Nov '25

We are pleased to announce the availability of Slurm versions 25.05.5 and 24.11.7. These releases fix some mild to moderate severity issues and potential crashes. The full list of changes are available in the CHANGELOG files for each version: https://github.com/SchedMD/slurm/blob/slurm-25.05/CHANGELOG/slurm-25.05.md https://github.com/SchedMD/slurm/blob/slurm-24.11/CHANGELOG/slurm-24.11.md Slurm can be downloaded from: https://www.schedmd.com/download-slurm/ -- Marshall Garey Release Management, Support, and Development SchedMD LLC - Commercial Slurm Development and Support

1 0

Split node into 2 partitions
by Ratnasamy, Fritz 11 Nov '25

11 Nov '25

Hi, Is there a straightforward way to split a gpu node with 8 GPUs into 2 partitions with 4 GPUs on each? How do we edit the slurm.conf and gres.conf in this case? Thanks, *Fritz Ratnasamy*Data Scientist Information Technology

3 2

Slurm Community Survey 2025
by Tim Wickberg 10 Nov '25

10 Nov '25

With the Slurm 25.11 release out, and the 1.0.0rc1 for the Slinky Project done, we're quickly shifting into conference season. SchedMD staff are presenting at KubeCon North America on Slinky [1] this week. We don't have a booth here, but feel free to say hi if you see any of us, or send me a message on the Kubernetes or CNCF Slack channels (@wickberg) if you have something you'd like to discuss in person. Next week we'll be manning the Slurm Booth at SC25 [2], as well as hosting the annual Slurm Community Birds-of-a-Feather session [3] on Thursday from 12:15-1:15pm. For this year we wanted to to make the Slurm Community BoF survey available ahead of time, and to open it to a wider audience. This'll let us prepare some initial results ahead of the BoF (while still trying to update live data during the BoF), and the results from this are invaluable as we plan for future Slurm releases. The survey is available now: https://schedmd.com/survey For those not at SC25, we'll have a brief set of highlights from this survey included in the Slurm 25.11 release overview video on our YouTube channel in December. - Tim [1] https://kccncna2025.sched.com/event/27FW5/ [2] The Slurm Booth is #1641. We have a new halo banner this year as well. [3] https://sc25.conference-program.com/presentation/?id=bof101&sess=sess471 [4] https://www.youtube.com/SchedMDSlurm -- Tim Wickberg Chief Technology Officer, SchedMD LLC Commercial Slurm Development and Support

1 0

sreport and AccountUtilizationByUser
by Gestió Servidors 08 Nov '25

08 Nov '25

Hello, I woud like to get a full report that includes CPU usage of an account (detalied by user). I have run "sreport cluster AccountUtilizationByUser start=9/1 end=11/2 account=mygr" and the output is this: -------------------------------------------------------------------------------- Cluster/Account/User Utilization 2025-09-01T00:00:00 - 2025-11-01T23:59:59 (5360400 secs) Usage reported in CPU Minutes -------------------------------------------------------------------------------- Cluster Account Login Proper Name Used Energy --------- --------------- --------- --------------- --------- -------- mycluster mygr 3979368 0 mycluster mygr mygr-1 3979368 0 mycluster mygr mygr-10 3979368 0 mycluster mygr mygr-11 3979368 0 mycluster mygr mygr-12 3979368 0 mycluster mygr mygr-13 3979368 0 mycluster mygr mygr-14 3979368 0 mycluster mygr mygr-15 3979368 0 mycluster mygr mygr-16 3979368 0 mycluster mygr mygr-17 3979368 0 mycluster mygr mygr-18 3979368 0 mycluster mygr mygr-19 3979368 0 mycluster mygr mygr-2 3979368 0 mycluster mygr mygr-20 3979368 0 mycluster mygr mygr-21 3979368 0 mycluster mygr mygr-22 3979368 0 mycluster mygr mygr-23 3979368 0 mycluster mygr mygr-24 3979368 0 mycluster mygr mygr-25 3979368 0 mycluster mygr mygr-26 3979368 0 mycluster mygr mygr-27 3979368 0 mycluster mygr mygr-28 3979368 0 mycluster mygr mygr-29 3979368 0 mycluster mygr mygr-3 3979368 0 mycluster mygr mygr-30 3979368 0 mycluster mygr mygr-31 3979368 0 mycluster mygr mygr-32 3979368 0 mycluster mygr mygr-33 3979368 0 mycluster mygr mygr-34 3979368 0 mycluster mygr mygr-35 3979368 0 mycluster mygr mygr-36 3979368 0 mycluster mygr mygr-37 3979368 0 mycluster mygr mygr-38 3979368 0 mycluster mygr mygr-39 3979368 0 mycluster mygr mygr-4 3979368 0 mycluster mygr mygr-40 3979368 0 mycluster mygr mygr-5 3979368 0 mycluster mygr mygr-6 3979368 0 mycluster mygr mygr-7 3979368 0 mycluster mygr mygr-8 3979368 0 mycluster mygr mygr-9 3979368 0 I don't understand why column "Used" shows always the same value, because each user "mygr-XX" has used the cluster in differents ways, times and each used has submitted very different number of jobs, as you can see in this "sshare" output: [root@login bin]# sshare -l -A mygr Account User RawShares NormShares RawUsage NormUsage EffectvUsage FairShare LevelFS -------------------- ---------- ---------- ----------- ----------- ----------- ------------- ---------- ---------- mygr 1 0.250000 3941705 0.337402 0.961033 0.260137 mygr mygr-1 1 0.024390 32099 0.002748 0.008144 0.095146 2.995008 mygr mygr-10 1 0.024390 98343 0.008418 0.024949 0.067961 0.977586 mygr mygr-11 1 0.024390 213838 0.018304 0.054250 0.052427 0.449588 mygr mygr-12 1 0.024390 134149 0.011483 0.034033 0.056311 0.716657 mygr mygr-13 1 0.024390 89304 0.007644 0.022656 0.071845 1.076537 mygr mygr-14 1 0.024390 524836 0.044925 0.133150 0.040777 0.183179 mygr mygr-15 1 0.024390 303494 0.025979 0.076996 0.044660 0.316774 mygr mygr-16 1 0.024390 99020 0.008476 0.025121 0.066019 0.970897 mygr mygr-17 1 0.024390 296341 0.025366 0.075181 0.046602 0.324421 mygr mygr-18 1 0.024390 37809 0.003236 0.009592 0.085437 2.542696 mygr mygr-19 1 0.024390 72158 0.006177 0.018306 0.077670 1.332337 mygr mygr-2 1 0.024390 225658 0.019316 0.057249 0.050485 0.426039 mygr mygr-20 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-21 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-22 1 0.024390 115042 0.009847 0.029186 0.062136 0.835683 mygr mygr-23 1 0.024390 54169 0.004637 0.013743 0.081553 1.774775 mygr mygr-24 1 0.024390 125767 0.010765 0.031907 0.058252 0.764422 mygr mygr-25 1 0.024390 243088 0.020808 0.061671 0.048544 0.395490 mygr mygr-26 1 0.024390 35516 0.003040 0.009010 0.089320 2.706902 mygr mygr-27 1 0.024390 65281 0.005588 0.016562 0.079612 1.472682 mygr mygr-28 1 0.024390 118203 0.010118 0.029988 0.060194 0.813335 mygr mygr-29 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-3 1 0.024390 107543 0.009206 0.027284 0.064078 0.893956 mygr mygr-30 1 0.024390 33946 0.002906 0.008612 0.091262 2.832099 mygr mygr-31 1 0.024390 183059 0.015670 0.046442 0.054369 0.525180 mygr mygr-32 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-33 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-34 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-35 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-36 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-37 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-38 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-39 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-4 1 0.024390 37605 0.003219 0.009541 0.087379 2.556486 mygr mygr-40 1 0.024390 0 0.000000 0.000000 0.118447 inf mygr mygr-5 1 0.024390 81114 0.006943 0.020578 0.073786 1.185232 mygr mygr-6 1 0.024390 91873 0.007864 0.023308 0.069903 1.046428 mygr mygr-7 1 0.024390 80513 0.006892 0.020426 0.075728 1.194082 mygr mygr-8 1 0.024390 367822 0.031485 0.093316 0.042718 0.261374 mygr mygr-9 1 0.024390 33630 0.002879 0.008532 0.093204 2.858713 mygr mygr-tutor 1 0.024390 40472 0.003464 0.010268 0.083495 2.375427 What am I doing wrong? What I need to get is a detalied report from all "mygr" users (mygr account) from CPU usage and, if it is possible, other values. Thanks.

2 1

Slinky version 1.0.0rc1 is now now available
by Marrlow Warnicke 07 Nov '25

07 Nov '25

We are pleased to announce the availability of Slinky version 1.0.0-rc1. Slinky is SchedMD’s set of components to integrate Slurm in Kubernetes environments. Slinky consists of two main projects, slurm-operator and slurm-bridge. Our landing page is here: https://www.slinky.ai The slurm-operator handles cases where users wish to run Slurm jobs within the Kubernetes cluster. Release v1.0.0-rc1: https://github.com/SlinkyProject/slurm-operator/tree/release-1.0 New features include hybrid support, integration points for external tooling, and workload protection and isolation. The full changelog may be found here: https://github.com/SlinkyProject/slurm-operator/blob/main/CHANGELOG/CHANGEL… The slurm-bridge handles the cases where you want Slurm scheduling on your cluster and to be able to run either Kubernetes or Slurm jobs. Release v1.0.0-rc1: https://github.com/SlinkyProject/slurm-bridge/tree/release-1.0 New features include support for DRA Extended Resources, support for TaintToleration and VolumeBinding plugins, and integration of new Slurm 25.11 support for granular node resource allocation assignments with GRES. The full changelog may be found here: https://github.com/SlinkyProject/slurm-bridge/blob/main/CHANGELOG/CHANGELOG… The SlinkyProject registry now has containers that support both amd64 (x86_64) and arm64 (aarch64) architectures. You may find these here: https://github.com/orgs/SlinkyProject/packages -- Marlow Warnicke Principal Cloud Engineer, SchedMD LLC Commercial Slurm - and Slinky - Development and Support

1 0

submit host DNS lookup errors stall slurmctld, fail nodes, kill jobs
by moorehfl＠amazon.com 06 Nov '25

06 Nov '25

As we've scaled up our slurm usage, we've noticed that short, moderate bursts of DNS lookup failures are enough to regularly stall slurmctld: _xgetaddrinfo: getaddrinfo(runner-t35knco5d-project-54-concurrent-0:37251) failed ...this has a cascading effect where, when stalled, the controlled can't always communicate with nodes: error: Error connecting, bad data: family = 0, port = 0 ...and immediately the controller will mark the nodes as unhealthy, and kill jobs: slurmctld: Killing JobId=3120751 on failed node slurm-0f6cacdc1 The reason for the DNS failures is not unreliable DNS server or network, but rather the jobs are submitted by containers that don't have resolvable hostnames. This traditionally hasn't disrupted functionality, but we've noticed if 8-10 jobs all terminate at the same time (submitter container SIGTERMs the srun process) that the controller can be easily overloaded for several seconds, despite having significant free system resources. gdb confirms the process is hanging on DNS. We also can see "Socket timed out on send/recv operation" from clients attempting to interact with the controller during the issue. slurm 24.11.0 RHEL 8.10 kernel 4.18.0-553.58.1.el8_10.x86_64 We're looking into ways to get our ephemeral job submitter containers resolvable in DNS to prevent lookup failures (either by giving them resolvable hostnames, or by blackholing the records to 0.0.0.0 to allow for fast local failure on the slurmctld server). However, it does seem unusual for a handful of bad DNS lookups to cause so much disruption in slurmctld. Is this a known weak point of ctld? The slurmctld host is a single-purpose 16 vCPU 30GB EC2 instance with minimal load. We have ~150 nodes, all nodes have valid IPs in slurm.conf to remove the need for ctld to perform lookups for nodes, but apparently there is still a need to lookup the submit host as well, and we can reliably reproduce these cascading failures. Another possiblity might be to extend SlurmdTimeout to something very long and hope that the controller recovers from its stall in enough time to prevent from marking nodes as unhealthy and killing jobs, but it's not clear if that will have any effect since the first occurrence of "error: Error connecting, bad data: family = 0, port = 0" immediately drains nodes and kills jobs. Thanks

1 0

Slurm version 25.11 is now available
by Marshall Garey 06 Nov '25

06 Nov '25

We are pleased to announce the availability of Slurm 25.11. The release notes summarizing the new features, and including links to the corresponding documentation, can be found at: https://slurm.schedmd.com/release_notes.html A more extensive list of changes are available in the CHANGELOG: https://github.com/SchedMD/slurm/blob/slurm-25.11/CHANGELOG/slurm-25.11.md The Slurm documentation has also been updated to the 25.11 release: https://slurm.schedmd.com Slurm can be downloaded from: https://www.schedmd.com/download-slurm/ -- Marshall Garey Release Management, Support, and Development SchedMD LLC - Commercial Slurm Development and Support

1 0

CPU frequency setting not configured for this node
by Felix 06 Nov '25

06 Nov '25

Hello I get this error: "CPU frequency setting not configured for this node" in some of my node. I do not know what to do, can you please advice. Thank you Felix -- Dr. Eng. Farcas Felix National Institute of Research and Development of Isotopic and Molecular Technology, IT - Department - Cluj-Napoca, Romania Mobile: +40742195323

1 0

Move to higher qos when cluster idle
by Ratnasamy, Fritz 06 Nov '25

06 Nov '25

Hi, Is there an option to automatically have users move to a higher qos when the cluster is x% idle? I was reading about customizing the job_submit.lua script in order to do that but I was wondering if it makes sense. We have a gpu cluster and many users complain they can not allocate more than their current qos when the cluster is not very busy. Best, *Fritz Ratnasamy*Data Scientist Information Technology

1 0

Slurm release candidate version 25.11.0rc1 is available for testing
by Tim Wickberg 28 Oct '25

28 Oct '25

We are pleased to announce the availability of Slurm release candidate 25.11.0rc1. To highlight some new features coming in 25.11: * Added new "Expedited Requeue" mode for batch jobs. Batch jobs with --requeue=expedite will automatically requeue on node failure, or if the batch script returns a non-zero exit code and one or more Epilog scripts fail. Expedited requeue jobs are eligible to restart immediately, are treated as the highest priority job in the system, and their previously allocated set of nodes will be prevented from launching other work. * Added a new "Mode 3" of operation to Hierarchical Resources. This mode complements the existing Mode 1 and Mode 2 by summing usage from lower levels automatically. This can be used, e.g., to implement a power-capping mode modeling power distribution between the datacenter, local distribution, and individual racks. * Added direct support for exporting OpenMetrics (Prometheus) telemetry from slurmctld. This is accessible on SlurmctldPort on SlurmctldHost by default, or can be disabled if desired. * Added an experimental asynchronous-reply mode to slurmctld. If enabled with "SlurmctldParameters=enable_async_reply", RPC responses are offloaded to the kernel for further processing, freeing individual worker threads for new traffic. This is the first release candidate of the upcoming 25.11 release series, and represents the end of development for this release, and a finalization of the RPC and state file formats. If any issues are identified with this release candidate, please report them through https://bugs.schedmd.com against the 25.11.x version and we will address them before the first production 25.11.0 release is made. Please note that the release candidates are not intended for production use. A preview of the updated documentation can be found at https://slurm.schedmd.com/archive/slurm-master/ . Slurm can be downloaded from https://www.schedmd.com/download-slurm/. The changelog for 25.11 can be found here: https://github.com/SchedMD/slurm/blob/master/CHANGELOG/slurm-25.11.md -- Tim Wickberg Chief Technology Officer, SchedMD LLC Commercial Slurm Development and Support

1 0

AuthInfo broken in 25.05.1 ?
by michael＠mayer.cx 27 Oct '25

27 Oct '25

I am using the AuthInfo in both slurm.conf and slurmdbd.conf to point to a different location for the munge socket. This works as expected in slurmdbd, but it does not work for slurmctld. In slurmctld it seems to ignore this setting and try to locate the munge socket at the default location and then fail. When using the same approach in 23.11.11, for example, AuthInfo is working as expected for both slurmctld and slurmdbd. Sample config from slurm.conf and slurmdbd.conf AuthType=auth/munge AuthInfo=socket=/my/non-default/location/of/munge.socket I'd be grateful for any pointer whether this is a genuine bug/regression or not. Many thanks, Michael.

3 3

Possible to require jobs to use NVLink-ed pairs of GPUs?
by Marcus Lauer 27 Oct '25

27 Oct '25

One of our researchers asked whether it was possible to require a job to use NVLink-ed pairs of GPUs. I see that there is a support ticket on the SchedMD site which covers this (https://support.schedmd.com/show_bug.cgi?id=15995) That ticket is a few years old though. Does anyone happen to know whether support for this has been added in newer releases of SLURM? The cluster in question does use "AutoDetect=nvml" in its gres.conf and the output of "slurmd -G" shows that SLURM is aware of the NVLink pairs. I assume the scheduler is trying to use that information. What I want to know is whether there is some way for an end-user to add a constraint (for example) to a job such that it only runs on an NVLink-ed pair of GPUs. I do know that there are other ways to implement this such as requiring jobs to run with even numbers of GPUs, perhaps just on some nodes to allow single GPU jobs to run on the remaining nodes. I'm specifically asking about a flag or setting a user could apply to their jobs. If there is such a thing maybe someone here knows about it. If so I'd love to hear about it. Thanks! -- *Mr. Marcus Lauer* Systems Administrator Penn Engineering University of Pennsylvania https://www.seas.upenn.edu/

1 0

Limit number of allocated GPUs
by Gestió Servidors 23 Oct '25

23 Oct '25

Hello, I have three nodes, serving each one 2 GPUs. I would like to limit (qos??) that a user could user only one GPU from earch server, but user could user simultaneously three GPUs if each GPU belongs to different servers. With this QoS "sacctmgr add qos test-limit-GPUs MaxJobsPerUser=3 MaxTRESPerUser=gres/gpu=1" I can limit to one GPU, but then user can't run other job in a GPU from other server. How must I configure QoS (or other method) to allow more than one job requesting GPUs but never in the same server? Thanks.

3 2

Job remains "PENDING" with reason "QOSMaxGRESPerUser"
by Gestió Servidors 23 Oct '25

23 Oct '25

Hello, I have added a new "qos" with these parameters: sacctmgr add qos test-GPUs MaxJobsPerUser=6 MaxTRESPerUser=gres/gpu=1 MaxSubmitJobsPerUser=25. With it, I only allow 6 running jobs per user, a total of 25 pending+running job per user and only 1 GPU. I have applied this qos directly to a partition in slurm.conf. When a user submits to that partition requesting 2 or more GPUs, job remains "PD" (pending) and notifies "QOSMaxGRESPerUser" in NODELIST column, but I would like to know if it would be possible to direcly reject job and avoid that job remains at queue? For example, if I submit 50 jobs, after number 25 I get message "sbatch: error: Batch job submission failed: Job violates accounting/QOS policy (job submit limit, user's size and/or time limits) sbatch: error: QOSMaxSubmitJobPerUserLimit" 25 times) Thanks.

2 1

dynamic node slurm node list order
by Assmann, Greta Marie 23 Oct '25

23 Oct '25

Hello, we would like to understand how the internal SLURM node list order works. More detailed info: Our setup: We have a Slurm cluster with N dynamic nodes (heterogeneous node types) in a partition and we observe that if all resources are free, jobs always get submitted to one specific node first. This node is also the node that turns up at the top of the list when doing an $ scontrol show nodes . As we do not have a defined node list in slurm.conf as it is done for non-dynamic nodes, we were wondering how the order is set up. Interestingly, when deleting (and unregistering) this node from the cluster and re-registering it again, the node is still at the same position when doing scontrol show nodes. Is there some internal node list order caching or similar? How is the node list order defined ? Thanks , Greta Dr. Greta Assmann Data Analysis and Research Infrastructure OBBA 230 Forschungsstrasse 111 5232 Villigen-PSI email: greta.assmann(a)psi.ch

4 5

Slurm and Slinky events this fall, update events page
by Tim Wickberg 14 Oct '25

14 Oct '25

We'll have a bit more details as conference season quickly approaches this November, but SchedMD staff are presenting at KubeCon NA on Slinky [1]. We'll be manning the Slurm Booth at SC25 [2], as well as hosting the annual Slurm Community Birds-of-a-Feather session [3]. I'll also send a link out to the survey questions for the BoF to the slurm-users list ahead of the conference, and we'll be going into a bit more depth on the answers during the BoF this year. The events page on the SchedMD website has more detail on future events as well: https://www.schedmd.com/events/ A few folks had asked, and apparently we never mentioned this more publicly, but: SchedMD does not plan to hold an in-person SLUG in 2025 or 2026. We are working to bring some of the same content to our YouTube channel [4] as a way to more broadly disseminate some of that same content, starting with the Slurm 25.11 release overview in December. - Tim [1] https://kccncna2025.sched.com/event/27FW5/ [2] The Slurm Booth is #1641. [3] https://sc25.conference-program.com/presentation/?id=bof101&sess=sess471 [4] https://www.youtube.com/SchedMDSlurm -- Tim Wickberg Chief Technology Officer, SchedMD LLC Commercial Slurm Development and Support

1 0

Slurm version 25.05.4 is now available
by Marshall Garey 14 Oct '25

14 Oct '25

We are pleased to announce the availability of Slurm version 25.05.4. This version increases the default number of maximum connections to slurmctld from 50 to 512, fixes a regression added in 25.05.2 that broke compatibility with PMIx v2.x through v3.1.0rc1, and fixes other minor to moderate bugs. The full list of changes are available in the CHANGELOG: https://github.com/SchedMD/slurm/blob/slurm-25.05/CHANGELOG/slurm-25.05.md Slurm can be downloaded from: https://www.schedmd.com/download-slurm/ -- Marshall Garey Release Management, Support, and Development SchedMD LLC - Commercial Slurm Development and Support

1 0

Preemption Scheduler Tuning Knobs
by Reed Dier 13 Oct '25

13 Oct '25

Hoping someone may be able to help demystify some questions around the scheduler and preemption decisions. I'm trying to help better predict the scheduler behavior as it pertains to preemption to create more predictable scheduling. Version is 24.11.5, OS U22.04 I have a fairly simple lo/hi partition which the same set of nodes are assigned > PartitionName=partition-lo Nodes=foo[00..NN] Default=YES MaxTime=INFINITE OverSubscribe=FORCE:1 State=UP > PartitionName=partition-hi Nodes=foo[00..NN] Default=YES MaxTime=INFINITE OverSubscribe=NO State=UP PreemptMode=OFF And then I have 2 QOSs per partition > Name Priority GraceTime Preempt PreemptMode UsageFactor MaxJobsPU MaxTRESPA MaxJobsPA > ---------------- ---------- ---------- ---------------------- ----------- ----------- --------- ------------- --------- > qos-stateless-lo 1 00:00:00 requeue 1.000000 > qos-stateful-lo 1 00:00:00 suspend 1.000000 NN cpu=NNN NNN > qos-stateful-hi 5 00:00:00 qos-state[ful,less]-lo cluster 1.000000 cpu=NNN > qos-stateless-hi 5 00:00:00 qos-state[ful,less]-lo cluster 1.000000 And the general way that it works out is that stateful jobs will typically spawn stateless jobs. Stateful jobs will get suspended, while stateless jobs will get requeued. And then there are some general guard rails around stateful jobs clogging the queue and preventing stateless jobs from scheduling and creating a deadlock, but thats not the specific issue here. > SchedulerType=sched/backfill > SelectType=select/cons_tres > SelectTypeParameters=CR_CPU_Memory > SchedulerParameters=max_rpc_cnt=500,\ > sched_min_interval=50000,\ > sched_max_job_start=300,\ > batch_sched_delay=6 > PriorityType=priority/multifactor > PreemptType=preempt/qos > PreemptMode=SUSPEND,GANG Workload is rather "high throughput", so a few settings were influenced by that <https://slurm.schedmd.com/high_throughput.html> guide. What I end up seeing is that it can take sometimes, but not always, take a while for lo jobs to be preempted by hi jobs, an example below, but if the mailing list eats images, a link to it here: https://imgur.com/a/7xVFC8a This is a rather low resolution view, as it is just a scraper running on 5 minute increments, but the blue filled area are "hi" jobs running, where the yellow are "lo" jobs running. Second image (dashed lines) are pending jobs for the same partitions. Oddly, this specific instance did not show any preemption events in the slurmctld logs, but users/admins were a bit perplexed as to why this drug on for so long, and without preemption kicking in. I was considering looking deeper into to try to better understand and predict preemption decisions: default_queue_depth partition_job_depth sched_interval sched_min_interval defer Hopefully someone can point me to some nuggets of information around this? Appreciate any pointers, Reed

1 0

About tpology.conf
by ysaiki18＠gmail.com 12 Oct '25

12 Oct '25

Must topology.conf, like slurm.conf, be accessible to all nodes?

3 6

Prolog error causing node to drain
by Ratnasamy, Fritz 11 Oct '25

11 Oct '25

Hi, We have a running slurm cluster and users have been submitting jobs for the past 3 months without any issues. Recently, some nodes jobs are getting drained randomly due to the reason "prolog error" Our slurm.conf has these 2 lines regarding prolog: PrologFlags=Contain,Alloc,X11 Prolog=/slurm_stuff/bin/prolog.d/prolog* Inside the prolog.d folder, there are 2 scripts which run with no errors as far as I can see but is there a way to debug why the nodes are going in draining mode once in a while because of "prolog error"? That seems to happen at random times and on random nodes. From the log file, I can see only this: Oct 06 00:57:43 pgpu008.chicagobooth.edu slurmd[3709622]: slurmd: error: prolog failed: rc:230 output:Successfully started proces> Oct 06 00:57:43 pgpu008.chicagobooth.edu slurmd[3709622]: slurmd: error: [job 20398] prolog failed status=230:0 Oct 06 00:57:43 pgpu008 slurmd[3709622]: slurmd: Job 20398 already killed, do not launch batch job Oct 06 13:06:23 pgpu008 systemd[1]: Stopping Slurm node daemon... Oct 06 13:06:23 pgpu008 slurmd[3709622]: slurmd: Caught SIGTERM. Shutting down. Oct 06 13:06:23 pgpu008 slurmd[3709622]: slurmd: Slurmd shutdown completing Currently, now the job 20398 that is getting killed in the picture above is in the state "Launch failed requeue held" after I resume the node. *Fritz Ratnasamy*Data Scientist Information Technology

3 2

Testing Slurm on FreeBSD – Offering Feedback and Collaboration
by Rikka Göring 08 Oct '25

08 Oct '25

Hello everyone, I’d like to briefly introduce myself and share some good news. I maintain the FreeBSD port of Slurm (sysutils/slurm-wlm) and have just completed the upgrade to the latest release. Alongside this, several FreeBSD-related fixes I had been maintaining locally have now been merged upstream by SchedMD engineers, which is an encouraging step for portability. With the updated port now running reliably on FreeBSD, I can offer: - Regular build and runtime testing of Slurm on FreeBSD, - Feedback on portability patches and non-Linux code paths, - Collaboration with anyone interested in running or experimenting with Slurm on BSD systems. My goal is to help ensure that Slurm remains portable and usable on FreeBSD, and to contribute back testing and fixes where possible. If you’re working on anything that may affect portability, feel free to reach out — I’d be glad to test and provide results from the FreeBSD side. Best regards, Rikka Göring

1 0

Unexpected missing socket error
by Ozeryan, Vladimir 07 Oct '25

07 Oct '25

Hello everyone, Not sure if you guys have heard this tune already but did anyone come across a solution for "Unexpected missing socket error". There is nothing useful in the logs but the message appears on compute nodes and slurm controller node. Thank you, Vlad Ozeryan AMDS - AB1 Linux-Support Vladimir.Ozeryan(a)jhuapl.edu Ext. 23966

3 2

Setting GrpTRES for specific Account only for specific Partition(s)
by Paul Raines 06 Oct '25

06 Oct '25

I am trying to figure out how one can limit resources like with GrpTRES for specific accounts only for specific partitions in the cluster Lets say I have a cluster with 3 partitions Part1, Part2, and Part3 and 3 accounts Acct1, Acct2, and Acct3 I want Acct1 to be limited to 10 cpus on Part1, Acct2 to be limited to 5 cpus on Part1, and Acct3 to be limited to 8 cpus on Part1. No limits for any account on the other two partitions at present. I have tried # sacctmgr modify account Acct1 where partition=Part1 set GrpTRES=cpu=10 Modified account associations... Nothing modified I have tried creating a QOS to assign # sacctmgr add qos cpus10 # sacctmgr modify qos cpus10 set GrpTRES=cpu=10 # sacctmgr modify account Acct1 where partition=Part1 set qos=cpus10 Modified account associations... Nothing modified I cannot set a Partition QOS since that would apply to all accounts on the partition giving them the same limit I cannot just set a general Account limit (or QOS) since that would apply to all Partitions. I really don't want to have to have different Accounts for each partition so I can set Account wide limits. That would make users have to remember which Account to use with which Partiton. It looks like the following works but requires having to repeat for all users in every Account sacctmgr -i add user User1 account=Acct1 partition=Part1 \ fairshare=parent qos=cpus10 # limits on the Acct1 partition sacctmgr -i add user User1 account=Acct1 \ fairshare=parent # no limits on any other partition But in essense is not much better than having different Accounts for each partition as I now have to maintain multiple user entries per Account: one for partitios with no-limits and and additional one for each partition that needs limits. I guess at least users don't have to remember what account to use when submitting to a partition. Its seems there should be some simpler way to do this. A way to say "this is the limit for this Account on this Partion for all current users and any future users added to the Account" Am I missing something? The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline <https://www.massgeneralbrigham.org/complianceline> . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.

1 0

cloud compute limits/budget
by Tom Sparks 03 Oct '25

03 Oct '25

I am setting up a single user slurm I have limited budget for cloud gpu compute ($40) I am wondering if slurm has ability to stop me from going over my budget? I have read the slurm's powersaving / configureless nodes guides Are they other guides I should look at?

2 1

SRUN and SBATCH network issues on configless login node.
by Bruno Bruzzo 01 Oct '25

01 Oct '25

Hi all, first of all, sorry for my English, it's not my native language. We are currently experiencing an issue with srun and salloc on our login nodes, while sbatch works properly. slurm version 23.11.4. slurmctld runs on management node mmgt01. srun and salloc fail intermittently on login node, that means we can successfully use srun on login node from time to time, but it stops working for a while without us changing any configuration. login nodes reports the following to the user: $ srun -N 1 -n 64 --partition=gpunode --pty /bin/bash srun: job 4872 queued and waiting for resources srun: error: Security violation, slurm message from uid 202 srun: error: Security violation, slurm message from uid 202 srun: error: Security violation, slurm message from uid 202 srun: error: Task launch for StepId=4872.0 failed on node cn065: Invalid job credential srun: error: Application launch failed: Invalid job credential srun: Job step aborted uid 202 is the slurm user. On the server side, slurmctld logs show: sched: _slurm_rpc_allocate_resources JobId=4872 NodeList=(null) usec=228 sched: Allocate JobId=4872 NodeList=cn065 #CPUs=64 Partition=gpunode error: slurm_receive_msgs: [[snmgt01]:38727] failed: Zero Bytes were transmitted or received Killing interactive JobId=4872: Communication connection failure _job_complete: JobId=4872 WEXITSTATUS 1 _job_complete: JobId=4872 done step_partial_comp: JobId=4872 StepID=0 invalid; this step may have already completed _slurm_rpc_complete_job_allocation: JobId=4872 error Job/step already completing or completed We suspect it is a network issue regarding the Zero Bytes were transmitted or received. The configless system is working properly. Slurmd on login node can read changes made at slurm.conf after a scontrol reconfig. srun runs successfully from management nodes and from compute nodes. The issue is from the login node. scontrol ping always shows DOWN from login node, even when we can successfully run srun or salloc. $ scontrol ping Slurmctld(primary) at mmgt01 is DOWN We checked as well for munge consistency. mmgt and login nodes have the hostnames of their respective others on /etc/hosts. They can communicate. We would really appreciate some tips on what we could be missing. Best regards, Bruno Bruzzo System Administrator - Clementina XXI

4 7

Re: How to make TLS and PMIx v4 work together?
by Grigory Shamov 30 Sep '25

30 Sep '25

Forgot to add: the s2n-tls comes from EPEL and is ver 1.5.10. On 2025-09-25, 11:56 AM, "Grigory Shamov via slurm-users" <slurm-users(a)lists.schedmd.com <mailto:slurm-users@lists.schedmd.com>> wrote: Caution! This message was sent from outside the University of Manitoba. Hi All, We have updated SLURM to the current 25.05.x and tried to enable TLS on it. The OS is Alma 8.10, cgroups v1, and PMIx v 4. We see that srun fails for MPI jobs across the nodes, with TLS related errors when using PMIx (the default) but passes with srun --mpi=pmi2 or with mpirun . TLSType = tls/s2n TLSParameters = ca_cert_file= (has all the certs here under /etc/slurm/certs) And the errors when using PMIx are 025-09-25T11:04:43.894] error: con_close_on_poll_error: [n388:6818(fd:15)] socket error encountered while polling: Connection reset by peer [2025-09-25T11:04:50.102] [6451416.0] error: _negotiate: s2n_negotiate() failed S2N_ERR_CERT_UNTRUSTED[335544366]: Certificate is untrusted -> Error encountered in /builddir/build/BUILD/s2n-tls-1.5.10/tls/s2n_x509_validator.c:494 (couple of these) [2025-09-25T11:05:57.878] [6451416.0] error: tls_p_recv: s2n_recv() failed S2N_ERR_CLOSED[134217728]: connection is closed -> Error encountered in /builddir/build/BUILD/s2n-tls-1.5.10/utils/s2n_io.c:37 [2025-09-25T11:05:57.883] [6451416.0] error: tls_p_send: s2n_send() failed S2N_ERR_IO[67108864]: underlying I/O operation failed, check system errno -> Error encountered in /builddir/build/BUILD/s2n-tls-1.5.10/utils/s2n_io.c:28 (couple of these) [2025-09-25T11:05:59.076] error: wrap_on_data: [unix:/var/spool/slurmd/slurmd.socket(fd:17)] on_data returned rc: Unable to proxy slurmstepd message [2025-09-25T11:05:59.076] [6451416.0] error: _stepd_send_recv_msg: slurmd was unable to proxy request message to its final destination [2025-09-25T11:05:59.878] error: _slurmd_send_recv_msg: Failed to send/recv slurmstepd message MESSAGE_TASK_EXIT using proxy_type PROXY_TO_NODE_SEND_RECV 2025-09-25T11:07:36.335] [6451416.0] error: mpi/pmix_v4: pmixp_p2p_send: n388 [0]: pmixp_utils.c:469: send failed, rc=1001, exceeded the retry limit [2025-09-25T11:07:36.335] [6451416.0] error: mpi/pmix_v4: _slurm_send: n388 [0]: pmixp_server.c:1586: Cannot send message to /var/spool/slurmd/stepd.slurm.pmix.6451416.0, size = 27679, hostlist: (null) (and couple more PMIx errors). Looks like PMIx cannot talk to their peers now ? There was no specific configuration for the certgen plugin, because SLURM documentation seems to say it is optional(?). I wonder what do we miss here to have SLURM 25.05 in with TLS enabled and PMIx working? Any advice appreciated! Thanks! -- Grigory Shamov Site Lead / HPC Specialist University of Manitoba and DRI Alliance Canada -- slurm-users mailing list -- slurm-users(a)lists.schedmd.com <mailto:slurm-users@lists.schedmd.com> To unsubscribe send an email to slurm-users-leave(a)lists.schedmd.com <mailto:slurm-users-leave@lists.schedmd.com>

3 3

FUTURE nodes do not return to idle on slurmctld restart
by Steve Kirk 26 Sep '25

26 Sep '25

Hello, We've got a few nodes defined in our slurm.conf in 'FUTURE' state as it's a new hardware type we're working on brining into service. The nodes are currently all allocated to a dedicated partition. The partition is configured as 'state=UP'. As we've built the new nodes and started slurmd+munge, they've appeared in an idle state in the new partition as expected. All good so far. However if the slurmctld is restarted the nodes go back to being in 'FUTURE' state, and do not transition to idle, accept jobs etc. The slurm daemon on the new nodes can clearly still talk to the slurmctld, s* commands on the new nodes work as expected but remain in FUTURE state - until slurmd on each node is restarted. I could have misunderstood something about the FUTURE state but I was expecting them to go back to idle; I understand that slurmctld doesn't communicate out to nodes in FUTURE state but I at least expected them to be picked up when they communicate _in_ to the slurmctld. Is this expected behaviour or perhaps a bug? The reason I've defined the new nodes this way so I don't have to update slurm.conf and restart slurmctld as each is built, but can do that as a single job once everything is finished, however it seems less useful if they can 'disappear' from the cluster as far as users are concerned. Cheers, Steve

2 2

How to make TLS and PMIx v4 work together?
by Grigory Shamov 25 Sep '25

25 Sep '25

Hi All, We have updated SLURM to the current 25.05.x and tried to enable TLS on it. The OS is Alma 8.10, cgroups v1, and PMIx v 4. We see that srun fails for MPI jobs across the nodes, with TLS related errors when using PMIx (the default) but passes with srun --mpi=pmi2 or with mpirun . TLSType = tls/s2n TLSParameters = ca_cert_file= (has all the certs here under /etc/slurm/certs) And the errors when using PMIx are 025-09-25T11:04:43.894] error: con_close_on_poll_error: [n388:6818(fd:15)] socket error encountered while polling: Connection reset by peer [2025-09-25T11:04:50.102] [6451416.0] error: _negotiate: s2n_negotiate() failed S2N_ERR_CERT_UNTRUSTED[335544366]: Certificate is untrusted -> Error encountered in /builddir/build/BUILD/s2n-tls-1.5.10/tls/s2n_x509_validator.c:494 (couple of these) [2025-09-25T11:05:57.878] [6451416.0] error: tls_p_recv: s2n_recv() failed S2N_ERR_CLOSED[134217728]: connection is closed -> Error encountered in /builddir/build/BUILD/s2n-tls-1.5.10/utils/s2n_io.c:37 [2025-09-25T11:05:57.883] [6451416.0] error: tls_p_send: s2n_send() failed S2N_ERR_IO[67108864]: underlying I/O operation failed, check system errno -> Error encountered in /builddir/build/BUILD/s2n-tls-1.5.10/utils/s2n_io.c:28 (couple of these) [2025-09-25T11:05:59.076] error: wrap_on_data: [unix:/var/spool/slurmd/slurmd.socket(fd:17)] on_data returned rc: Unable to proxy slurmstepd message [2025-09-25T11:05:59.076] [6451416.0] error: _stepd_send_recv_msg: slurmd was unable to proxy request message to its final destination [2025-09-25T11:05:59.878] error: _slurmd_send_recv_msg: Failed to send/recv slurmstepd message MESSAGE_TASK_EXIT using proxy_type PROXY_TO_NODE_SEND_RECV 2025-09-25T11:07:36.335] [6451416.0] error: mpi/pmix_v4: pmixp_p2p_send: n388 [0]: pmixp_utils.c:469: send failed, rc=1001, exceeded the retry limit [2025-09-25T11:07:36.335] [6451416.0] error: mpi/pmix_v4: _slurm_send: n388 [0]: pmixp_server.c:1586: Cannot send message to /var/spool/slurmd/stepd.slurm.pmix.6451416.0, size = 27679, hostlist: (null) (and couple more PMIx errors). Looks like PMIx cannot talk to their peers now ? There was no specific configuration for the certgen plugin, because SLURM documentation seems to say it is optional(?). I wonder what do we miss here to have SLURM 25.05 in with TLS enabled and PMIx working? Any advice appreciated! Thanks! -- Grigory Shamov Site Lead / HPC Specialist University of Manitoba and DRI Alliance Canada

1 0

Node switching randomly to down state
by Julien Tailleur 24 Sep '25

24 Sep '25

Dear all, I am maintaining a small computing cluster and I have a weird behavior that I fail at debugging. My cluster comprise one master node and 16 computing servers, organized in two queues, each queue having 8 servers. All servers run up-to-date Debian bullseye. All but 3 servers work flawlessly. From the master node, I can see that 3 servers on one of the queue appear down: jtailleu@kandinsky:~$ sinfo PARTITION AVAIL TIMELIMIT NODES STATE NODELIST Volume* up infinite 8 alloc FX[21-24,31-34] Speed up infinite 3 down* FX[12-14] Speed up infinite 4 alloc FX[41-44] Speed up infinite 1 idle FX11 These servers are reachable by SSH/ping jtailleu@kandinsky:~$ ping -c 1 FX12 PING FX12 (192.168.6.22) 56(84) bytes of data. 64 bytes from FX12 (192.168.6.22): icmp_seq=1 ttl=64 time=0.070 ms --- FX12 ping statistics --- 1 packets transmitted, 1 received, 0% packet loss, time 0ms rtt min/avg/max/mdev = 0.070/0.070/0.070/0.000 ms ##### I can also put these nodes back into idle mode: root@kandinsky:~# scontrol update nodename=FX[12-14] state=idle root@kandinsky:~# sinfo PARTITION AVAIL TIMELIMIT NODES STATE NODELIST Volume* up infinite 8 alloc FX[21-24,31-34] Speed up infinite 3 idle* FX[12-14] Speed up infinite 4 alloc FX[41-44] Speed up infinite 1 idle FX11 But then, they switch back into down mode few minutes later: root@kandinsky:~# sinfo PARTITION AVAIL TIMELIMIT NODES STATE NODELIST Volume* up infinite 8 alloc FX[21-24,31-34] Speed up infinite 3 down* FX[12-14] Speed up infinite 4 alloc FX[41-44] Speed up infinite 1 idle FX11 root@kandinsky:~# sinfo -R REASON USER TIMESTAMP NODELIST Not responding slurm 2025-09-08T15:04:39 FX[12-14] I do not understand where the "not responding" comes from, nor how I can investigate that. Any idea what could trigger this behavior? Best wishes, Julien

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No output and can't job by id
by Dhumal, Dr. Nilesh 22 Sep '25

22 Sep '25

Hello, Recently, we updated Slurm. We are running slrumcld on head node. The slurmdbd is disabled on the head node. The user submits the job and gets the job ID. The squeue is empty, and difficult to track the job progress. The job is not writing any output to a file. How can I resolve this issue? Nilesh Dhumal Associate Professor of Chemistry, http://faculty.fgcu.edu/ndhumal/ Coordinator, FGCU Computational Facility, https://www.fgcu.edu/cas/facultyresources/computationalfacility/ SH-430; Department of Chemistry and Physics Florida Gulf Coast University 10501 FGCU Boulevard South Fort Myers, FL 33965-6565 Phone: (239) 745-4394 Email: ndhumal(a)fgcu.edu

2 2

Node in drain state
by Gestió Servidors 22 Sep '25

22 Sep '25

Hello, I have got a node in "drain" state after finishing a job that was running on it. Log in node reports this information: [...] [2025-09-07T11:09:26.980] task/affinity: task_p_slurmd_batch_request: task_p_slurmd_batch_request: 59238 [2025-09-07T11:09:26.980] task/affinity: batch_bind: job 59238 CPU input mask for node: 0xFFF [2025-09-07T11:09:26.980] task/affinity: batch_bind: job 59238 CPU final HW mask for node: 0xFFF [2025-09-07T11:09:26.980] Launching batch job 59238 for UID 21310 [2025-09-07T11:09:27.006] cred/munge: init: Munge credential signature plugin loaded [2025-09-07T11:09:27.007] [59238.batch] debug: auth/munge: init: loaded [2025-09-07T11:09:27.009] [59238.batch] debug: Reading cgroup.conf file /soft/slurm-23.11.0/etc/cgroup.conf [2025-09-07T11:09:27.025] [59238.batch] debug: cgroup/v1: init: Cgroup v1 plugin loaded [2025-09-07T11:09:27.025] [59238.batch] debug: hash/k12: init: init: KangarooTwelve hash plugin loaded [2025-09-07T11:09:27.026] [59238.batch] debug: task/cgroup: init: core enforcement enabled [2025-09-07T11:09:27.026] [59238.batch] debug: task/cgroup: init: device enforcement enabled [2025-09-07T11:09:27.026] [59238.batch] debug: task/cgroup: init: Tasks containment cgroup plugin loaded [2025-09-07T11:09:27.026] [59238.batch] task/affinity: init: task affinity plugin loaded with CPU mask 0xfff [2025-09-07T11:09:27.027] [59238.batch] debug: jobacct_gather/cgroup: init: Job accounting gather cgroup plugin loaded [2025-09-07T11:09:27.027] [59238.batch] topology/default: init: topology Default plugin loaded [2025-09-07T11:09:27.030] [59238.batch] debug: gpu/generic: init: init: GPU Generic plugin loaded [2025-09-07T11:09:27.031] [59238.batch] debug: laying out the 12 tasks on 1 hosts clus09 dist 2 [2025-09-07T11:09:27.031] [59238.batch] debug: close_slurmd_conn: sending 0: No error [2025-09-07T11:09:27.031] [59238.batch] debug: Message thread started pid = 910040 [2025-09-07T11:09:27.031] [59238.batch] debug: Setting slurmstepd(910040) oom_score_adj to -1000 [2025-09-07T11:09:27.031] [59238.batch] debug: spank: opening plugin stack /soft/slurm-23.11.0/etc/plugstack.conf [2025-09-07T11:09:27.031] [59238.batch] debug: task/cgroup: task_cgroup_cpuset_create: job abstract cores are '0-11' [2025-09-07T11:09:27.031] [59238.batch] debug: task/cgroup: task_cgroup_cpuset_create: step abstract cores are '0-11' [2025-09-07T11:09:27.031] [59238.batch] debug: task/cgroup: task_cgroup_cpuset_create: job physical CPUs are '0-11' [2025-09-07T11:09:27.031] [59238.batch] debug: task/cgroup: task_cgroup_cpuset_create: step physical CPUs are '0-11' [2025-09-07T11:09:27.090] [59238.batch] debug levels are stderr='error', logfile='debug', syslog='fatal' [2025-09-07T11:09:27.090] [59238.batch] starting 1 tasks [2025-09-07T11:09:27.090] [59238.batch] task 0 (910044) started 2025-09-07T11:09:27 [2025-09-07T11:09:27.098] [59238.batch] debug: task/affinity: task_p_pre_launch: affinity StepId=59238.batch, task:0 bind:mask_cpu [2025-09-07T11:09:27.098] [59238.batch] _set_limit: RLIMIT_NPROC : reducing req:255366 to max:159631 [2025-09-07T11:09:27.398] [59238.batch] task 0 (910044) exited with exit code 2. [2025-09-07T11:09:27.399] [59238.batch] debug: task/affinity: task_p_post_term: affinity StepId=59238.batch, task 0 [2025-09-07T11:09:27.399] [59238.batch] debug: signaling condition [2025-09-07T11:09:27.399] [59238.batch] debug: jobacct_gather/cgroup: fini: Job accounting gather cgroup plugin unloaded [2025-09-07T11:09:27.400] [59238.batch] debug: task/cgroup: fini: Tasks containment cgroup plugin unloaded [2025-09-07T11:09:27.400] [59238.batch] job 59238 completed with slurm_rc = 0, job_rc = 512 [2025-09-07T11:09:27.410] [59238.batch] debug: Message thread exited [2025-09-07T11:09:27.410] [59238.batch] stepd_cleanup: done with step (rc[0x200]:Unknown error 512, cleanup_rc[0x0]:No error) [2025-09-07T11:09:27.411] debug: _rpc_terminate_job: uid = 1000 JobId=59238 [2025-09-07T11:09:27.411] debug: credential for job 59238 revoked [...] "sinfo" shows: [root@login-node ~]# sinfo PARTITION TIMELIMIT AVAIL STATE NODELIST CPU_LOAD NODES(A/I) NODES(A/I/O/T) CPUS CPUS(A/I/O/T) REASON node.q* 4:00:00 up drained clus09 0.00 0/0 0/0/1/1 12 0/0/12/12 Kill task faile node.q* 4:00:00 up allocated clus[10-11] 13.82-15.8 2/0 2/0/0/2 12 24/0/0/24 none node.q* 4:00:00 up idle clus[01-06,12] 0.00 0/7 0/7/0/7 12 0/84/0/84 none But it seems there is no error in node... Slurmctld.log in server seems correct, too. Is there any way to reset node to "state=idle" after errors in the same way? Thanks.

3 4

Compute node not responding
by Dhumal, Dr. Nilesh 21 Sep '25

21 Sep '25

Hello, Recently, we installed slum 25 on our cluster. We are not monitoring the user's account. We didn't configure the sql database on the head node. We are running slurmcld on head node and slumd on the compute node. We are getting the following error Head node: compute node not responding. Compute node: 2025-09-19T15:30:23.461] error: Unable to register: Unable to contact slurm controller (connect failure) Do we need to run slumdbd on the head node? I checked the network connection by pinging the compute node from the head node. Do you have any suggestions to resolve this issue? Thanks Nilesh Get Outlook for Android<https://aka.ms/AAb9ysg>

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Re: Node in drain state
by Gestió Servidors 19 Sep '25

19 Sep '25

Hi, After reading answer from Ole Holm Nielsen, I have increased "MessageTimeout" to 20s (by default is 5s) and "UnkillableStepTimeout" to 150s (by default is 60s and, always 5 times larger than "MessageTimeout"). However, I have also read that UnkillableStepProgram indicates the program to use in that cases... but, by default there is no program assigned to that parameter (no program to run). So my question is if someone uses a customized "UnkillableStepProgram" and if he/she could explain that. Thanks a lot!

3 2

seff for GPU
by Josu Lazkano Lete 18 Sep '25

18 Sep '25

Hello, We are looking to optimize the GPU jobs of our HPC users, is it possible to add GPU info in the seff? It will be great to know how much GPU resources the users request and compare with how much GPU resources they use. Kind regards. [image: Vicomtech] <https://www.vicomtech.org> Josu Lazkano Lete Systems Manager Infrastructures and General Services jlazkano(a)vicomtech.org +(34) 943 30 92 30 The information contained in this electronic message is intended only for the personal and confidential use of the recipients. If you have received this e-mail by mistake, please, notify us and delete it. Avoid printing this message if it is not strictly necessary.

7 9

Scheduling issues with multiple different types of GPU in one partition
by Kevin M. Hildebrand 17 Sep '25

17 Sep '25

We have several different types of GPUs in the same 'gpu' partition. The problem we're having occurs when one of those types of GPUs is fully occupied and there are a bunch of queued jobs waiting for those GPUs. If someone requests idle GPUs of a different type, those jobs end up getting stalled, even though there are plenty of GPUs available. For example, say we have 10 A100 GPUs and 10 H100 GPUs. If there are 10 H100 GPU jobs running and more in queue waiting for them, subsequently submitted A100 jobs will sit in queue even if there are plenty of idle A100 GPUs. The only way we can get the A100 jobs to run is by manually bumping their priority higher than the pending H100 jobs. Has anyone else encountered this issue? The only way we can think of to potentially solve it is to have separate partitions for each GPU type, but that seems unwieldy. We are currently running Slurm 24.05.8. Thanks, Kevin -- Kevin Hildebrand Director of Research Technology and HPC Services Division of IT

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New "NOT-state" selection of the sinfo command in Slurm 25.05
by Ole Holm Nielsen 10 Sep '25

10 Sep '25

We just upgraded Slurm to 25.05.3, and I would like to highlight a new functionality of the "sinfo -t <state>" command in 25.05: > The state can be prefixed with '~' which will invert the result of match. We find this "NOT-state" selection useful together with Slurm power saving [1] where any idle nodes may be powered off to save electrical power or cloud costs. For example, the ClusterShell [2] clush command can now skip connections to the powered down nodes like in this example: $ clush -bw@slurmstate:~POWERED_DOWN uname -r You can even configure ClusterShell so that "clush -a" includes all nodes which are *not* powered down. The details are described in the Wiki page [3]. Best regards, Ole [1] https://slurm.schedmd.com/power_save.html [2] https://clustershell.readthedocs.io/en/latest/intro.html [3] https://wiki.fysik.dtu.dk/Niflheim_system/Slurm_operations/#skipping-powere… -- Ole Holm Nielsen PhD, Senior HPC Officer Department of Physics, Technical University of Denmark

1 0

Development RPMs for cgroups v2
by John Hearns 10 Sep '25

10 Sep '25

I am building a version of Slurm on RHEL 9.4 When I run an rpmbuild, he slurm rpm does not contain /usr/lib64/slurm/cgroup_v2.so I have tried to look in the build logs. I suspect I am lacking some development RPMs - but which ones? All hints gratefully received John H

4 5

NHC skips nodes in "mix-" state
by blines＠tgen.org 08 Sep '25

08 Sep '25

The node-mark-offline script skips nodes in the "mix-" state with the error: State "mix-" not yet handled; ignoring. "mix-" seems to be a valid state indicating that a node is mixed and is "planned by the backfill scheduler for a higher priority job". Anyone know the reason that nodes in this state are being skipped? The responsible code appears to be: case "$STATUS" in *'@'*|*'#'*|boot*|*-*|plnd*) # These states aren't handled yet. echo "$0: State \"$STATUS\" not yet handled; ignoring." exit 0 As far as I can tell all the states being skipped are related to nodes being configured or rebooted or powering on/off except *-*. There are other states related to node power that include underscore in the state name; power_down, power_up, pow_dn, pow_up. Should the case statement be *_* instead of *-*?

1 0

Creating /run/user/$UID - for Podman runtime
by John Snowdon 08 Sep '25

08 Sep '25

We are in the middle of implementing an extensive range of container support on our new HPC platform and have decided to offer our users a wide suite of technologies to better support their workloads: * Apptainer * Podman (rootless) * Docker (rootless) We've already got a solution for automated entries in /etc/subuid and /etc/subgid on the head nodes (available here under GPL: https://github.com/megatron-uk/pam_subid) which is where we intend users to build their container images, and building and running containers using Apptainer and Podman in those environments works really well - we're happy that it should take care of 95% of our users needs (Docker is the last few percent....) and not involve giving them any special permissions. If I ssh directly to a compute node, then Podman also works there to run an existing image (podman container run ...). What I'm struggling with now is running Podman under Slurm itself on our compute nodes. It appears as though Podman (in rootless mode) wants to put the majority of its run time / state information under /run/user/$UID ... this is fine on the head nodes which have interactive logins hitting PAM modules which instantiate the /run/user/$UID directories, but not under sbatch/srun which doesn't create them by default. I've not been able to find a single, magical setting which will move all of the Podman state information out from /run/user to another location - there are 3 or 4 settings involved, and even then I still find various bits of Podman want to create stuff under there. Rather than hacking away at getting Podman changed to move all settings and state information elsewhere, it seems like the cleanest solution would just be to put the regular /run/user/$UID directory in place at the point Slurm starts the job instead. What's the best way to get Slurm to create this and clean-up afterwards? Should this be in a prolog/epilog wrapper (e.g. directly calling loginctl) or is it cleaner to get Slurm to trigger the usual PAM session machinery in some manner? John Snowdon Senior Research Infrastructure Engineer (HPC) Research Software Engineering Catalyst Building, Room 2.01 Newcastle University 3 Science Square Newcastle Helix Newcastle upon Tyne NE4 5TG https://hpc.researchcomputing.ncl.ac.uk

5 7

Slurm version 25.05.3 is now available
by Marshall Garey 04 Sep '25

04 Sep '25

We are pleased to announce the availability of Slurm version 25.05.3. This version fixes an issue that prevented deleting a QOS when running with MySQL servers (MariaDB is was unaffected). Please note that the slurmdbd will require MySQL 8.0.4+ or MariaDB 10.0.5+ to function correctly. This version also fixes heterogeneous jobs when TLS is enabled, a logging issue with syslog, and various mild to moderate stability fixes. The full list of changes are available in the CHANGELOG: https://github.com/SchedMD/slurm/blob/slurm-25.05/CHANGELOG/slurm-25.05.md Slurm can be downloaded from: https://www.schedmd.com/download-slurm/ -- Marshall Garey Release Management, Support, and Development SchedMD LLC - Commercial Slurm Development and Support

1 0

Discussion about the --cpus-per-task flag
by Michele Esposito Marzino 04 Sep '25

04 Sep '25

Hi everyone, I would like to ask about the rationale behind the --cpus-per-task flag. While I do understand the meaning and its intended goal, I was wondering how it is managed in practice. I tried inferring this from the source code, but it is quite intricate, and not really straightforward by simply searching for the string match. Does it affect the CPUSET of each task? Who is responsible for setting this? The slurmcltd or slurmd? And how? Or at least, point me where in the code it is handled, so that I can reconstruct the whole process myself. Thanks

1 0

sacctmgr output with and without associations
by Rémy Dernat 04 Sep '25

04 Sep '25

Hi, I have a stupid issue about sacctmgr output and associations. I would like to retrieve my accounts with all the following data : "Account","Clusters","DefaultQOS","Description","Fairshare","Flags","GrpTRESMins","GrpTRES","GrpJobs","GrpSubmitJob",GrpWall", "MaxTRESMins","MaxTRES","MaxJobs","MaxNodes","MaxSubmitJobs","MaxWall","Organization","ParentName","Priority","QosLevel" So my command is the following : sacctmgr list accounts --assoc format="Account","Clusters","DefaultQOS","Description","Fairshare","Flags","GrpTRESMins","GrpTRES","GrpJobs","GrpSubmitJob","GrpWall","MaxTRESMins","MaxTRES","MaxJobs","MaxNodes","MaxSubmitJobs","MaxWall","Organization","ParentName","Priority","QosLevel" -n -P However, I have a lot of outputs corresponding to each User association entry. That would be fine if a basic `|uniq` would remove everything I don't need, but I am stuck with grptres, which can be seen in the main account, but not in the children associations with the Users. On the opposite, if I remove `--assoc`, I don't have anymore grptres, ParentName, or related Qos values. I had to add `where User=""` to my first command to just retrieve my main accounts, without User associations. I dont' know if that is clear enough; is there something I missed with the sacctmgr output ? Thanks, Best regards, Rémy

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