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Slurm version 24.11.4 is now available
by Marshall Garey 08 Apr '25

08 Apr '25

We are pleased to announce the availability of Slurm version 24.11.4. This release fixes a variety of major to minor severity bugs. Some edge cases that caused jobs to pend forever are fixed. Notable stability issues that are fixed include: * slurmctld crashing upon receiving a certain heterogeneous job submission. * slurmd crashing after a communications failure with a slurmstepd. * A variety of race conditions related to receiving and processing connections, including one that resulted in the slurmd ignoring new RPC connections. Downloads are available at https://www.schedmd.com/downloads.php . -- Marshall Garey Release Management, Support, and Development SchedMD LLC - Commercial Slurm Development and Support > -- slurmctld,slurmrestd - Avoid possible race condition that could have caused > process to crash when listener socket was closed while accepting a new > connection. > -- slurmrestd - Avoid race condition that could have resulted in address > logged for a UNIX socket to be incorrect. > -- slurmrestd - Fix parameters in OpenAPI specification for the following > endpoints to have "job_id" field: > GET /slurm/v0.0.40/jobs/state/ > GET /slurm/v0.0.41/jobs/state/ > GET /slurm/v0.0.42/jobs/state/ > GET /slurm/v0.0.43/jobs/state/ > -- slurmd - Fix tracking of thread counts that could cause incoming > connections to be ignored after burst of simultaneous incoming connections > that trigger delayed response logic. > -- Stepmgr - Avoid unnecessary SRUN_TIMEOUT forwarding to stepmgr. > -- Fix jobs being scheduled on higher weighted powered down nodes. > -- Fix how backfill scheduler filters nodes from the available nodes based on > exclusive user and mcs_label requirements. > -- acct_gather_energy/{gpu,ipmi} - Fix potential energy consumption adjustment > calculation underflow. > -- acct_gather_energy/ipmi - Fix regression introduced in 24.05.5 (which > introduced the new way of preserving energy measurements through slurmd > restarts) when EnergyIPMICalcAdjustment=yes. > -- Prevent slurmctld deadlock in the assoc mgr. > -- Fix memory leak when RestrictedCoresPerGPU is enabled. > -- Fix preemptor jobs not entering execution due to wrong calculation of > accounting policy limits. > -- Fix certain job requests that were incorrectly denied with node > configuration unavailable error. > -- slurmd - Avoid crash due when slurmd has a communications failure with > slurmstepd. > -- Fix memory leak when parsing yaml input. > -- Prevent slurmctld from showing error message about PreemptMode=GANG being a > cluster-wide option for `scontrol update part` calls that don't attempt to > modify partition PreemptMode. > -- Fix setting GANG preemption on partition when updating PreemptMode with > scontrol. > -- Fix CoreSpec and MemSpec limits not being removed from previously > configured slurmd. > -- Avoid race condition that could lead to a deadlock when slurmd, slurmstepd, > slurmctld, slurmrestd or sackd have a fatal event. > -- Fix jobs using --ntasks-per-node and --mem keep pending forever when the > requested mem divided by the number of cpus will surpass the configured > MaxMemPerCPU. > -- slurmd - Fix address logged upon new incoming RPC connection from "INVALID" > to IP address. > -- Fix memory leak when retrieving reservations. This affects scontrol, sinfo, > sview, and the following slurmrestd endpoints: > 'GET /slurm/{any_data_parser}/reservation/{reservation_name}' > 'GET /slurm/{any_data_parser}/reservations' > -- Log warning instead of debuflags=conmgr gated log when deferring new > incoming connections when number of active connections exceed > conmgr_max_connections. > -- Avoid race condition that could result in worker thread pool not activating > all threads at once after a reconfigure resulting in lower utilization of > available CPU threads until enough internal activity wakes up all threads > in the worker pool. > -- Avoid theoretical race condition that could result in new incoming RPC > socket connections being ignored after reconfigure. > -- slurmd - Avoid race condition that could result in a state where new > incoming RPC connections will always be ignored. > -- Add ReconfigFlags=KeepNodeStateFuture to restore saved FUTURE node state on > restart and reconfig instead of reverting to FUTURE state. This will be > made the default in 25.05. > -- Fix case where hetjob submit would cause slurmctld to crash. > -- Fix jobs using --cpus-per-gpu and --mem keep pending forever when the > requested mem divided by the number of cpus will surpass the configured > MaxMemPerCPU. > -- Enforce that jobs using --mem and several --*-per-* options do not violate > the MaxMemPerCPU in place. > -- slurmctld - Fix use-cases of jobs incorrectly pending held when --prefer > features are not initially satisfied. > -- slurmctld - Fix jobs incorrectly held when --prefer not satisfied in some > use-cases. > -- Ensure RestrictedCoresPerGPU and CoreSpecCount don't overlap.

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slurm send email status with no details
by Oren 07 Apr '25

07 Apr '25

Hi, We set up a slurm system with email notification, this is the slurm.conf `MailProg=/usr/sbin/sendmail` But the email that I get has not status, just an empty message: [image: image.png] no subject, no info, what are we missing? Thanks~

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Run a command in Slurm with all streams and signals connected to the submitting command
by Michael Milton 07 Apr '25

07 Apr '25

I'm helping with a workflow manager that needs to submit Slurm jobs. For logging and management reasons, the job (e.g. srun python) needs to be run as though it were a regular subprocess (python): - stdin, stdout and stderr for the command should be connected to process inside the job - signals sent to the command should be sent to the job process - We don't want to use the existing job allocation, if this is run from a Slurm job - The command should only terminate when the job is finished, to avoid us needing to poll Slurm We've tried: - sbatch --wait, but then SIGTERM'ing the process doesn't kill the job - salloc, but that requires a TTY process to control it (?) - salloc srun seems to mess with the terminal when it's killed, likely because of being "designed to be executed in the foreground" - Plain srun re-uses the existing Slurm allocation, and specifying resources like --mem will just request then from the current job rather than submitting a new one What is the best solution here?

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Re: Run a command in Slurm with all streams and signals connected to the submitting command
by Michael Milton 05 Apr '25

05 Apr '25

Thanks Davide, It's true that srun will create an allocation if you aren't inside a job, but if you are inside a job and you request more resources than it has, then srun will just fail. This is the key issue that I want to avoid. On Sat, Apr 5, 2025 at 11:48 AM Davide DelVento <davide.quantum(a)gmail.com> wrote: > The plain srun is probably the best bet, and if you really need the thing > to be started from another slurm job (rather than the login node) you will > need to exploit the fact that > > > If necessary, srun will first create a resource allocation in which to > run the parallel job. > > AFAIK, there is no option to for the "create a resource allocation" even > if it's not necessary. But you may try to request something that is "above > and beyond" what the current allocation provides, and that might solve your > problem. > Looking at the srun man page, I could speculate that --clusters > or --cluster-constraint might help in that regard (but I am not sure). > > Have a nice weekend > > > On Fri, Apr 4, 2025 at 6:27 AM Michael Milton via slurm-users < > slurm-users(a)lists.schedmd.com> wrote: > >> I'm helping with a workflow manager that needs to submit Slurm jobs. For >> logging and management reasons, the job (e.g. srun python) needs to be run >> as though it were a regular subprocess (python): >> >> - stdin, stdout and stderr for the command should be connected to >> process inside the job >> - signals sent to the command should be sent to the job process >> - We don't want to use the existing job allocation, if this is run >> from a Slurm job >> - The command should only terminate when the job is finished, to >> avoid us needing to poll Slurm >> >> We've tried: >> >> - sbatch --wait, but then SIGTERM'ing the process doesn't kill the job >> - salloc, but that requires a TTY process to control it (?) >> - salloc srun seems to mess with the terminal when it's killed, >> likely because of being "designed to be executed in the foreground" >> - Plain srun re-uses the existing Slurm allocation, and specifying >> resources like --mem will just request then from the current job rather >> than submitting a new one >> >> What is the best solution here? >> >> -- >> slurm-users mailing list -- slurm-users(a)lists.schedmd.com >> To unsubscribe send an email to slurm-users-leave(a)lists.schedmd.com >> >

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Best Way to See GPUs in Use?
by Jason Simms 02 Apr '25

02 Apr '25

Hello all, Apologies for the basic question, but is there a straightforward, best-accepted method for using Slurm to report on which GPUs are currently in use? I've done some searching and people recommend all sorts of methods, including parsing the output of nvidia-smi (seems inefficient, especially across multiple GPU nodes), as well as using other tools such as Grafana, XDMoD, etc. We do track GPUs as a resource, so I'd expect I could get at the info with sreport or something like that, but before trying to craft my own from scratch, I'm hoping someone has something working already. Ultimately I'd like to see either which cards are available by node, or the reverse (which are in use by node). I know recent versions of Slurm supposedly added tighter integration in some way with NVIDIA cards, but I can't seem to find definitive docs on what, exactly, changed or what is now possible as a result. Warmest regards, Jason -- *Jason L. Simms, Ph.D., M.P.H.* Research Computing Manager Swarthmore College Information Technology Services (610) 328-8102

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slum job sumisison using different UID/GID
by navin srivastava 02 Apr '25

02 Apr '25

Hi, Can munge depend upon the UID/GID for the job submission? There is a scenario where the cluster is running with the NIS authentication mechanism. There is a login Node created which is part of LDAP and we installed the slurm to interact with slurm master. I am able to run jobs using root but for users it is not working as the UID/GID differ. Is there a way we can overcome this issue? and be able to run jobs. Rehards Navin

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slurm releases
by Patrick Begou 01 Apr '25

01 Apr '25

Hi slurm team, I would ask some clarifications with slurm releases. Why two versions of slurm are available ? I speak of 24.05.7 versus 24.11.3 on https://www.schedmd.com/slurm-support/release-announcements and announces made on this list ? I'm managing small clusters in a french public research lab and I've successfully updated (lets says re-installed as it was very old) an old one with slurm-24.05.3 some month ago. Now I'm trying to deploy a second cluster with the same approach and I've selected 24.11.3-1 (but why not using 24.05.7 ?). Moreover I have some difficulties for deploying 24.11.3 : I've built the rpm with: rpmbuild \ --define '_prefix /usr' \ --with pmix --with ucx --with mysql --with hwloc \ -ta slurm-24.11.3.tar.bz2 but some packages wont install: $ dnf list --showduplicates slurm-slurmd Last metadata expiration check: 0:33:15 ago on Tue Apr 1 18:03:07 2025. Available Packages slurm-slurmd.x86_64 24.11.3-1.el9 bb-local $ sudo dnf install slurm-slurmd Last metadata expiration check: 0:33:03 ago on Tue Apr 1 18:03:25 2025. Error: Problem: conflicting requests - nothing provides is needed by slurm-slurmd-24.11.3-1.el9.x86_64 from bb-local - nothing provides installed needed by slurm-slurmd-24.11.3-1.el9.x86_64 from bb-local - nothing provides not needed by slurm-slurmd-24.11.3-1.el9.x86_64 from bb-local (try to add '--skip-broken' to skip uninstallable packages or '--nobest' to use not only best candidate packages) I think I will try to build 24.05.7 or 24.05.3 as a next try but I'm interested in any advices. Thank you Patrick

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cpus and gpus partitions and how to optimize the resource usage
by Massimo Sgaravatto 31 Mar '25

31 Mar '25

Dear all We have just installed a small SLURM cluster composed of 12 nodes: - 6 CPU only nodes: 2 Sockets=2, 96 CoresPerSocket 2, ThreadsPerCore=2, 1.5 TB of RAM - 6 nodes with also GPUS: same conf of the CPU-only node + 4 H100 per node We started with a setup with 2 partitions: - a 'onlycpus' partition which sees all the cpu-only nodes - a 'gpus' partition which sees the nodes with gpus and asked users to use the 'gpus' partition only for jobs that need gpus (for the time being we are not technically enforced that). The problem is that a job requiring a GPU usually needs only a few cores and only a few GB of RAM, which means wasting a lot of CPU cores. And having all nodes in the same partition would mean that there is the risk that a job requiring a GPU can't start if all CPU cores and/or all memory is used by CPU only jobs I went through the mailing list archive and I think that "splitting" a GPU node into two logical nodes (one to be used in the 'gpus' partition and one to be used in the 'onlycpus' partition) as discussed in [*] would help. Since that proposed solution is considered by his author a "bit of a kludge" and since I read that splitting a node into multiple logical nodes is in a general a bad idea, I'd like to understand if you could suggest other/best options. I also found this [**] thread, but I don't like too much that approach (i.e. relying on MaxCPUsPerNode) because it would mean having 3 partition (if I have got it right): two partitions for cpu only jobs and 1 partition for gpu jobs Many thanks, Massimo [*] https://groups.google.com/g/slurm-users/c/IUd7jLKME3M [**] https://groups.google.com/g/slurm-users/c/o7AiYAQ1YJ0

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Preemption question
by Kamil Wilczek 31 Mar '25

31 Mar '25

Dear All, I would like to be able to preempt (SUSPEND) a single QoS of a user that blocks the queue for several days. Currently I have about 100 users on the cluster and it seems that setting the "Preempt" option to each QoS (we have personal QoSes) is not optimal. https://slurm.schedmd.com/sacctmgr.html#OPT_Preempt Is there a way to to set an option to this single problematic QoS, saying that the QoS can be preempted by any other QoS? It would be much more administrator-friendly solution ;) Kind regards -- Kamil Wilczek [https://keys.openpgp.org/] [D415917E84B8DA5A60E853B6E676ED061316B69B]

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Slurm 24.05 and OpenMPI
by Matthias Leopold 28 Mar '25

28 Mar '25

Hi, I built a small Slurm 21.08 cluster with NVIDIA GPU hardware and NVIDIA deepops framework a couple of years ago. It is based on Ubuntu 20.04 and makes use of the NVIDIA pyxis/enroot container solution. For operational validation I used the nccl-tests application in a container. nccl-tests is compiled with MPI support (OpenMPI 4.1.6 or 4.1.7) and I used it also for validation of MPI jobs. Slurm jobs use "pmix" and tasks are launched via srun (not mpirun). Some of the GPUs can talk to each other via Infiniband, but MPI is rarely used at our site and I'm fully aware that my MPI knowledge is very limited. Still it worked with Slurm 21.08. Now I built a Slurm 24.05 cluster based on Ubuntu 24.04 and started to move hardware there. When I run my nccl-tests container (also with newer software) I see error messages like this: [node1:21437] OPAL ERROR: Unreachable in file ext3x_client.c at line 111 -------------------------------------------------------------------------- The application appears to have been direct launched using "srun", but OMPI was not built with SLURM's PMI support and therefore cannot execute. There are several options for building PMI support under SLURM, depending upon the SLURM version you are using: version 16.05 or later: you can use SLURM's PMIx support. This requires that you configure and build SLURM --with-pmix. Versions earlier than 16.05: you must use either SLURM's PMI-1 or PMI-2 support. SLURM builds PMI-1 by default, or you can manually install PMI-2. You must then build Open MPI using --with-pmi pointing to the SLURM PMI library location. Please configure as appropriate and try again. -------------------------------------------------------------------------- *** An error occurred in MPI_Init *** on a NULL communicator *** MPI_ERRORS_ARE_FATAL (processes in this communicator will now abort, *** and potentially your MPI job) [node1:21437] Local abort before MPI_INIT completed completed successfully, but am not able to aggregate error messages, and not able to guarantee that all other processes were killed! One simple question: Is this related to https://github.com/open-mpi/ompi/issues/12471? If so: is there some workaround? I'm very grateful for any comments. I know that a lot of detail information is missing, but maybe someone can still already give me a hint where to look. Thanks a lot Matthias

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