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Job submitted to multiple partitions not running when any partition is full
by Paul Raines 09 Jul '24

09 Jul '24

I have a job 465072 submitted to multiple partitions (rtx6000,rtx8000,pubgpu) JOBID PARTITION PENDING PRIORITY TRES_ALLOC|REASON 4650727 rtx6000 47970 0.00367972 cpu=5,mem=400G,node=1,gpu=1|Priority 4650727 rtx8000 47970 0.00367972 cpu=5,mem=400G,node=1,gpu=1|Priority 4650727 pubgpu 47970 0.00367972 cpu=5,mem=400G,node=1,gpu=1|Priority 4646926 rtx6000 487048 0.00121987 cpu=10,mem=32G,node=1,gpu=1|Priority,Resources 4650186 rtx8000 56979 0.00000000 cpu=4,mem=10G,node=1,gpu=1|Priority,Resources We see the two partitions rtx6000 and rtx8000 are full and two other jobs are at the top of the queue waiting to run on those. But partition pubgpu is NOT full and you can see here a node leo with resources to run the 4650727 job HOST PARTITION CORES MEMORY GPUS leo pubgpu 48/ 64 12288/1030994 0/ 1 leo pubcpu 48/ 64 12288/1030994 0/ 1 The node leo is NOT part of the rtx6000 or rtx8000 partitions and there are no other pending jobs waiting on either the pubgpu or pubcpu partition that leo is part of So why is 4650727 not running on the pubgpu partition? --------------------------------------------------------------- Paul Raines http://help.nmr.mgh.harvard.edu MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging 149 (2301) 13th Street Charlestown, MA 02129 USA 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.

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Temporarily bypassing pam_slurm_adopt.so
by Daniel L'Hommedieu 09 Jul '24

09 Jul '24

Hi, all. We have a use case where we need to allow a group of users (members of an LDAP group, which I can easily add to a Linux group) to SSH to a compute node, without disabling pam_slurm_adopt.so. Is there a way to do this? We can add users to the sudo group, which will bypass pam_slurm_adopt.so, but we do not want to grant sudo access to these users. Is there any way to bypass for a group of users, pam_slurm_adopt.so without removing it from /etc/pam.d/sshd, and without adding them to the sudo group? Thanks. Daniel

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vers 23: slurmctld pb (memory leak and response time)
by LEROY Christine 208562 09 Jul '24

09 Jul '24

Hello Everyone, We tried several version of slurm 23-x (till the last one: 23.11.8), and we observe a memory leak in slurmctld in addition to a bad response time (sometimes). It seems to be due to a slurm.conf configuration with Partition containing Allowgroups option. Is it a known problem? Is it recommended to use the version 22, or 24 ? Thanks in advance, Christine Leroy

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Can SLURM queue different jobs to start concurrently?
by Dan Healy 08 Jul '24

08 Jul '24

Hi there, I've received a question from an end user, which I presume the answer is "No", but would like to ask the community first. Scenario: The user wants to create a series of jobs that all need to start at the same time. Example: there are 10 different executable applications which have varying CPU and RAM constraints, all of which need to communicate via TCP/IP. Of course the user could design some type of idle/statusing mechanism to wait until all jobs are *randomly *started, then begin execution, but this feels like a waste of resources. The complete execution of these 10 applications would be considered a single simulation. The goal would be to distribute these 10 applications across the cluster and not necessarily require them all to execute on a single node. Is there a good architecture for this using SLURM? If so, please kindly point me in the right direction. -- Thanks, Daniel Healy

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Re: Can SLURM queue different jobs to start concurrently?
by Lloyd Brown 08 Jul '24

08 Jul '24

I'm confused. Why can't they just use a multi-node job, and have the job script farm out the individual tasks to the various workers through some mechanism (srun, mpirun, ssh, etc.)? AFAIK, there's nothing preventing a job from using resources on multiple hosts. The job just needs to have some way of pushing the work out to those hosts. Lloyd On 7/8/24 14:17, Dan Healy via slurm-users wrote: > Hi there, > > I've received a question from an end user, which I presume the answer > is "No", but would like to ask the community first. > > Scenario: The user wants to create a series of jobs that all need to > start at the same time. Example: there are 10 different executable > applications which have varying CPU and RAM constraints, all of which > need to communicate via TCP/IP. Of course the user could design some > type of idle/statusing mechanism to wait until all jobs are /randomly > /started, then begin execution, but this feels like a waste of > resources. The complete execution of these 10 applications would be > considered a single simulation. The goal would be to distribute these > 10 applications across the cluster and not necessarily require them > all to execute on a single node. > > Is there a good architecture for this using SLURM? If so, please > kindly point me in the right direction. > > -- > Thanks, > > Daniel Healy -- Lloyd Brown HPC Systems Administrator Office of Research Computing Brigham Young University http://rc.byu.edu

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cgroups/v2 plugin rpmbuild issue
by Chris Taylor 06 Jul '24

06 Jul '24

Trying to use rpmbuild on Rocky9 Linux, Slurm 21.08 - I want to build with cgroups/v2 support and have these installed: libbpf-devel.x86_64 2:1.3.0-2.el9 dbus-devel.x86_64 1:1.12.20-8.el9 kernel-headers.x86_64 5.14.0-427.22.1.el9_4 hwloc-devel.x86_64 2.4.1-5.el9 In https://slurm.schedmd.com/cgroup_v2.html it says: Requirements For building cgroup/v2 there are two required libraries checked at configure time... Look at your config.log when configuring to see if they were correctly detected on your system. I don't see any mention of 'ebpf', 'bpf', or 'dbus' when I grep through ~/rpmbuild/BUILD/slurm-21.08.8-2/config.log. Before I noticed that, I installed the RPMS on my cluster and get cgroup errors when I try to run a job or get an allocation. The slurmctld and slurmd processes start up fine on the servers, and I have a generic /etc/slurm/cgroup.conf. It seems like the cgroups plugin isn't getting built right with rpmbuild- how do I troubleshoot? Thanks Chris

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Qlustar HPC Core Stack 24.06
by Roland Fehrenbacher 06 Jul '24

06 Jul '24

Hi all, the Qlustar HPC Core Stack 24.06 update is available. It includes an update to Slurm 23.11.8. Find further details at https://qlustar.com/news/2024/2024-06-29-hpc-core-stack-2406 Enjoy, Roland ------- https://qlustar.com -- 100% Open Source HPC / AI / Storage / Cloud Linux Cluster OS --

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Run a program via Strigger when a node joins the cluster
by Karri Vrkreddy 05 Jul '24

05 Jul '24

Hi, We have a requirement to run a specific program whenever any new node joins the slurm cluster. For this, we have tried using strigger with the following options : "strigger --set --node --up --flags=perm --program=<program>" We see that the trigger is not getting activated always. Checked slurmctld logs for "type=node:up" and noticed it is not always happening. Based on documentation at https://slurm.schedmd.com/strigger.html , "up" flag would mean Trigger an event if the specified node is returned to service from a DOWN state 1. From Slurm Workload Manager - Slurm Power Saving Guide , and the above message does it mean that a node has to be already in DOWN state in the cluster for a trigger with "--up" to get activated ? 2. Are there any other ways beyond strigger to achieve this ? | | | | | | | | | | | Slurm Workload Manager - Slurm Power Saving Guide | | | -- Thanks Karri

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Using sharding
by Ricardo Cruz 05 Jul '24

05 Jul '24

Greetings, There are not many questions regarding GPU sharding here, and I am unsure if I am using it correctly... I have configured it according to the instructions <https://slurm.schedmd.com/gres.html>, and it seems to be configured properly: $ scontrol show node compute01 NodeName=compute01 Arch=x86_64 CoresPerSocket=32 CPUAlloc=48 CPUEfctv=128 CPUTot=128 CPULoad=10.95 AvailableFeatures=(null) ActiveFeatures=(null) * Gres=gpu:8,shard:32* [truncated] When running with gres:gpu everything works perfectly: $ /usr/bin/srun --gres=gpu:2 ls srun: job 192 queued and waiting for resources srun: job 192 has been allocated resources (...) However, when using sharding, it just stays waiting indefinitely: $ /usr/bin/srun --gres=shard:2 ls srun: job 193 queued and waiting for resources The reason it gives for pending is just "Resources": $ scontrol show job 193 JobId=193 JobName=ls UserId=rpcruz(1000) GroupId=rpcruz(1000) MCS_label=N/A Priority=1 Nice=0 Account=account QOS=normal * JobState=PENDING Reason=Resources Dependency=(null)* Requeue=1 Restarts=0 BatchFlag=0 Reboot=0 ExitCode=0:0 RunTime=00:00:00 TimeLimit=2-00:00:00 TimeMin=N/A SubmitTime=2024-06-28T05:36:51 EligibleTime=2024-06-28T05:36:51 AccrueTime=2024-06-28T05:36:51 StartTime=2024-06-29T18:13:22 EndTime=2024-07-01T18:13:22 Deadline=N/A SuspendTime=None SecsPreSuspend=0 LastSchedEval=2024-06-28T05:37:20 Scheduler=Backfill:* Partition=partition AllocNode:Sid=localhost:47757 ReqNodeList=(null) ExcNodeList=(null) NodeList= NumNodes=1 NumCPUs=1 NumTasks=1 CPUs/Task=1 ReqB:S:C:T=0:0:*:* ReqTRES=cpu=1,mem=1031887M,node=1,billing=1 AllocTRES=(null) Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=* MinCPUsNode=1 MinMemoryNode=0 MinTmpDiskNode=0 Features=(null) DelayBoot=00:00:00 OverSubscribe=OK Contiguous=0 Licenses=(null) Network=(null) Command=ls WorkDir=/home/rpcruz Power= * TresPerNode=gres/shard:2* Again, I think I have configured it properly - it shows up correctly in scontrol (as shown above). Our setup is pretty simple - I just added shard to /etc/slurm/slurm.conf: GresTypes=gpu,shard NodeName=compute01 Gres=gpu:8,shard:32 [truncated] Our /etc/slurm/gres.conf is also straight-forward: (it works fine for --gres=gpu:1) Name=gpu File=/dev/nvidia[0-7] Name=shard Count=32 Maybe I am just running srun improperly? Shouldn't it just be srun --gres= shard:2 to allocate half of a GPU? (since I am using 32 shards for the 8 gpus, so it's 4 shards per gpu) Thank you very much for your attention, -- Ricardo Cruz - https://rpmcruz.github.io

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Re: Slurm commands fail when run in Singularity container with the error "Invalid user for SlurmUser slurm, SINGULARITYENV_SLURM_CONF
by Robert Kudyba 03 Jul '24

03 Jul '24

In https://support.schedmd.com/show_bug.cgi?id=9282#c6 Tim mentioned this env variable SINGULARITYENV_SLURM_CONF, what is the usage/syntax for it? I can't find any reference to this. I'm running into the same issue mentioned there. Thanks in advance!

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Slurm version 24.05.1 is now available
by Tim Wickberg 27 Jun '24

27 Jun '24

We are pleased to announce the availability of Slurm version 24.05.1. This release addresses a number of minor-to-moderate issues since the 24.05 release was first announced a month ago. Slurm can be downloaded from https://www.schedmd.com/downloads.php . - Tim > * Changes in Slurm 24.05.1 > ========================== > -- Fix slurmctld and slurmdbd potentially stopping instead of performing a > logrotate when recieving SIGUSR2 when using auth/slurm. > -- switch/hpe_slingshot - Fix slurmctld crash when upgrading from 23.02. > -- Fix "Could not find group" errors from validate_group() when using > AllowGroups with large /etc/group files. > -- Prevent an assertion in debugging builds when triggering log rotation > in a backup slurmctld. > -- Add AccountingStoreFlags=no_stdio which allows to not record the stdio > paths of the job when set. > -- slurmrestd - Prevent a slurmrestd segfault when parsing the crontab field, > which was never usable. Now it explicitly ignores the value and emits a > warning if it is used for the following endpoints: > 'POST /slurm/v0.0.39/job/{job_id}' > 'POST /slurm/v0.0.39/job/submit' > 'POST /slurm/v0.0.40/job/{job_id}' > 'POST /slurm/v0.0.40/job/submit' > 'POST /slurm/v0.0.41/job/{job_id}' > 'POST /slurm/v0.0.41/job/submit' > 'POST /slurm/v0.0.41/job/allocate' > -- mpi/pmi2 - Fix communication issue leading to task launch failure with > "invalid kvs seq from node". > -- Fix getting user environment when using sbatch with "--get-user-env" or > "--export=" when there is a user profile script that reads /proc. > -- Prevent slurmd from crashing if acct_gather_energy/gpu is configured but > GresTypes is not configured. > -- Do not log the following errors when AcctGatherEnergyType plugins are used > but a node does not have or cannot find sensors: > "error: _get_joules_task: can't get info from slurmd" > "error: slurm_get_node_energy: Zero Bytes were transmitted or received" > However, the following error will continue to be logged: > "error: Can't get energy data. No power sensors are available. Try later" > -- sbatch, srun - Set SLURM_NETWORK environment variable if --network is set. > -- Fix cloud nodes not being able to forward to nodes that restarted with new > IP addresses. > -- Fix cwd not being set correctly when running a SPANK plugin with a > spank_user_init() hook and the new "contain_spank" option set. > -- slurmctld - Avoid deadlock during shutdown when auth/slurm is active. > -- Fix segfault in slurmctld with topology/block. > -- sacct - Fix printing of job group for job steps. > -- scrun - Log when an invalid environment variable causes the job submission > to be rejected. > -- accounting_storage/mysql - Fix problem where listing or modifying an > association when specifying a qos list could hang or take a very long time. > -- gpu/nvml - Fix gpuutil/gpumem only tracking last GPU in step. Now, > gpuutil/gpumem will record sums of all GPUS in the step. > -- Fix error in scrontab jobs when using slurm.conf:PropagatePrioProcess=1. > -- Fix slurmctld crash on a batch job submission with "--nodes 0,...". > -- Fix dynamic IP address fanout forwarding when using auth/slurm. > -- Restrict listening sockets in the mpi/pmix plugin and sattach to the > SrunPortRange. > -- slurmrestd - Limit mime types returned from query to 'GET /openapi/v3' to > only return one mime type per serializer plugin to fix issues with OpenAPI > client generators that are unable to handle multiple mime type aliases. > -- Fix many commands possibly reporting an "Unexpected Message Received" when > in reality the connection timed out. > -- Prevent slurmctld from starting if there is not a json serializer present > and the extra_constraints feature is enabled. > -- Fix heterogeneous job components not being signaled with scancel --ctld and > 'DELETE slurm/v0.0.40/jobs' if the job ids are not explicitly given, > the heterogeneous job components match the given filters, and the > heterogeneous job leader does not match the given filters. > -- Fix regression from 23.02 impeding job licenses from being cleared. > -- Move error to log_flag which made _get_joules_task error to be logged to the > user when too many rpcs were queued in slurmd for gathering energy. > -- For scancel --ctld and the associated rest api endpoints: > 'DELETE /slurm/v0.0.40/jobs' > 'DELETE /slurm/v0.0.41/jobs' > Fix canceling the final array task in a job array when the task is pending > and all array tasks have been split into separate job records. Previously > this task was not canceled. > -- Fix power_save operation after recovering from a failed reconfigure. > -- slurmctld - Skip removing the pidfile when running under systemd. In that > situation it is never created in the first place. > -- Fix issue where altering the flags on a Slurm account (UsersAreCoords) > several limits on the account's association would be set to 0 in > Slurm's internal cache. > -- Fix memory leak in the controller when relaying stepmgr step accounting to > the dbd. > -- Fix segfault when submitting stepmgr jobs within an existing allocation. > -- Added "disable_slurm_hydra_bootstrap" as a possible MpiParams parameter in > slurm.conf. Using this will disable env variable injection to allocations > for the following variables: I_MPI_HYDRA_BOOTSTRAP, > I_MPI_HYDRA_BOOTSTRAP_EXEC_EXTRA_ARGS, HYDRA_BOOTSTRAP, > HYDRA_LAUNCHER_EXTRA_ARGS. > -- scrun - Delay shutdown until after start requested. This caused scrun > to never start or shutdown and hung forever when using --tty. > -- Fix backup slurmctld potentially not running the agent when taking over as > the primary controller. > -- Fix primary controller not running the agent when a reconfigure of the > slurmctld fails. > -- slurmd - fix premature timeout waiting for REQUEST_LAUNCH_PROLOG with large > array jobs causing node to drain. > -- jobcomp/{elasticsearch,kafka} - Avoid sending fields with invalid date/time. > -- jobcomp/elasticsearch - Fix slurmctld memory leak from curl usage > -- acct_gather_profile/influxdb - Fix slurmstepd memory leak from curl usage > -- Fix 24.05.0 regression not deleting job hash dirs after MinJobAge. > -- Fix filtering arguments being ignored when using squeue --json. > -- switch/nvidia_imex - Move setup call after spank_init() to allow namespace > manipulation within the SPANK plugin. > -- switch/nvidia_imex - Skip plugin operation if nvidia-caps-imex-channels > device is not present rather than preventing slurmd from starting. > -- switch/nvidia_imex - Skip plugin operation if job_container/tmpfs > is configured due to incompatibility. > -- switch/nvidia_imex - Remove any pre-existing channels when slurmd starts. > -- rpc_queue - Add support for an optional rpc_queue.yaml configuration file.

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SLURM QoS Preemption Not Functioning as Expected
by 木子 27 Jun '24

27 Jun '24

Hi all; I'm testing slurm preempt with PreemptType=preempt/qos and PreemptMode=suspend,gang in slurm.conf. But job with high-qos not preempt the job with low-qos. My configuration followed: slurm version: 23.11.4 test node : 8 CPUS and 8GB RAM QoS Configuration:  Partition Configuration:  Job Submission: I submitted test jobs, one with --qos=low-qos and--partition=low , resources 4 CPUs, 4GB memory, and later, a  job  with --qos=high-qos and  --partition=g1 requesting more resources( 5 CPUs, 5GB memory). Did anyone else encounter this issue or any additional steps I might need to take to correctly enable QoS-based preemption in our SLURM setup. Best regards, Liyar

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scontrol update job=... comment=... fails with "Job is no longer pending"
by Thomas Zeiser 27 Jun '24

27 Jun '24

Dear Slurm community, we are running 23.02.7. For a small fraction of jobs we get "Job is no longer pending execution for job <JOBID>" when running "scontrol update job=JOBID comment=SOME-COMMENT" on an already running job. For the majority (I guess 98%) of running jobs, this works perfectly fine. I also see no reason why updating the comment of a running job should not be allowed. Did anyone else observe this issue or are there explanations why this might be expected? (We abuse the comment field to track which GPUs within a node are assigned to a job as we did not find any option within Slurm to get the GPU IDs of assigned GPUs but we need that information for our monitoring framework.) Best regards, Thomas Zeiser, NHR@FAU

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Slurmctld Problems
by stth 25 Jun '24

25 Jun '24

Dear slurm users, It is my first time setting slurm up and I am looking for a solution to this errors. Has anyone here already ecountered this problem. I would really appreciate the help. mariadb, slurmdbd and slurmd are active. *×* slurmctld.service - Slurm controller daemon Loaded: loaded (/usr/lib/systemd/system/slurmctld.service; *enabled*; preset: *enabled*) Active: *failed* (Result: exit-code) since Tue 2024-06-25 10:06:39 UTC; 2min 42s ago Duration: 584ms Docs: man:slurmctld(8) Process: 63738 ExecStart=/usr/sbin/slurmctld --systemd $SLURMCTLD_OPTIONS *(code=exited, status=1/FAILURE)* Main PID: 63738 (code=exited, status=1/FAILURE) CPU: 25ms Jun 25 10:06:39 server systemd[1]: Starting slurmctld.service - Slurm controller daemon... Jun 25 10:06:39 server (lurmctld)[63738]: *slurmctld.service: Referenced but unset environment variable evaluates to an empty string: SLURMCTLD_OPTIONS* Jun 25 10:06:39 server slurmctld[63738]: slurmctld: slurmctld version 23.11.4 started on servercluster Jun 25 10:06:39 server systemd[1]: Started slurmctld.service - Slurm controller daemon. Jun 25 10:06:39 server slurmctld[63738]: slurmctld: accounting_storage/slurmdbd: clusteracct_storage_p_register_ctld: Registering slurmctld at port 6817 with slurmdbd Jun 25 10:06:39 server slurmctld[63738]: slurmctld: priority/multifactor: _read_last_decay_ran: No last decay (/var/spool/slurm/state/priority_last_decay_ran) to recover Jun 25 10:06:39 server slurmctld[63738]: slurmctld: No memory enforcing mechanism configured. Jun 25 10:06:39 server slurmctld[63738]: slurmctld: fatal: Can not recover last_conf_lite, incompatible version, (9472 not between 9728 and 10240), start with '-i' to ignore this. Warning: using -i will lose the data that can't be recovered. Jun 25 10:06:39 server systemd[1]: *slurmctld.service: Main process exited, code=exited, status=1/FAILURE* Jun 25 10:06:39 server systemd[1]: *slurmctld.service: Failed with result 'exit-code'.*

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How to exclude master from computing? Set to DRAINED?
by Xaver Stiensmeier 24 Jun '24

24 Jun '24

Dear Slurm users, in our project we exclude the master from computing before starting Slurmctld. We used to exclude the master from computing by simply not mentioning it in the configuration i.e. just not having: PartitionName=SomePartition Nodes=master or something similar. Apparently, this is not the way to do this as it is now a fatal error fatal: Unable to determine this slurmd's NodeName therefore, my *question:* What is the best practice for excluding the master node from work? I personally primarily see the option to set the node into DOWN, DRAINED or RESERVED. Since we use ReturnToService=2, I guess DOWN is not the way to go. RESERVED fits with the second part "The node is in an advanced reservation and *not generally available*." and DRAINED "The node is unavailable for use per system administrator request." fits completely. So is *DRAINED* the correct setting in such a case? Best regards, Xaver

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error: unpack_header: protocol_version 9472 not supported
by Arnuld 24 Jun '24

24 Jun '24

I have built Slurm 23.11.7 on two machines. Both are running Ubuntu 22.04. While Slurm runs fine on one machine, on the 2nd machine it does not. First machine is both a controller and a node while the 2nd machine is just a node. On both machines, I built the Slurm debian package as per the Slurm docs instructions. Slurmd logs show this: error: unpack_header: protocol_version 9472 not supported error: unpacking header error: destroy_forward: no init error: slurm_receive_msg_and_forward: [[host-4.attlocal.net]:38960] failed: Message receive failure error: service_connection: slurm_receive_msg: Message receive failure debug: _service_connection: incomplete message

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Can Not Use A Single GPU for Multiple Jobs
by Arnuld 24 Jun '24

24 Jun '24

I have a machine with a quad-core CPU and an Nvidia GPU with 3500+ cores. I want to run around 10 jobs in parallel on the GPU (mostly are CUDA based jobs). PROBLEM: Each job asks for only 100 shards (runs usually for a minute or so), then I should be able to run 3500/100 = 35 jobs in parallel but slurm runs only 4 jobs in parallel keeping the rest in the queue. I have this in slurm.conf and gres.conf: # GPU GresTypes=gpu,shard # COMPUTE NODES PartitionName=pzero Nodes=ALL Default=YES MaxTime=INFINITE State=UP` PartitionName=pgpu Nodes=hostgpu MaxTime=INFINITE State=UP NodeName=hostgpu NodeAddr=x.x.x.x Gres=gpu:gtx_1080_ti:1,shard:3500 CPUs=4 Boards=1 SocketsPerBoard=1 CoresPerSocket=4 ThreadsPerCore=1 RealMemory=64255 State=UNKNOWN ---------------------- Name=gpu Type=gtx_1080_ti File=/dev/nvidia0 Count=1 Name=shard Count=3500 File=/dev/nvidia0

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How can I tell the OS that was used to build SLURM?
by Carl Ponder 20 Jun '24

20 Jun '24

We're seeing SLURM mis-behaving on one of your clusters, that runs Ubuntu 22.04. Ampng other problems, we see an error-message regarding a missing library version that would have been shipped on Ubuntu 20.04 not 22.04. It's not clear that the library is being called from a SLURM component or OpenMPI or something else. I'm able to read some of the SLURM configuration settings, but is there a way to tell what OS had been used to build it? I imagine that the build-log would show some system-detection steps that would expose that, but don't know if it's bundled with the rest of the SLURM install somewhere.

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how to safely rename a slurm user's name
by taleintervenor＠sjtu.edu.cn 20 Jun '24

20 Jun '24

Hello, I'd like to ask if there is any safe method to rename an existing slurm user to new username with the same uid? As for linux itself, it's quite common to have 2 user share the same uid. So if we already have 2 system users, for example Bob(uid=1500) and HPCBob(uid=1500), and the HPCBob is the existing slurm user, how can we rename it to Bob without lost of user's history job records or associations? Do we have to manually edit the slurm database?

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IMEX plugin in Slurm 24.05
by Taras Shapovalov 19 Jun '24

19 Jun '24

Hello, Does anyone know if there is any documentation about the NVIDIA IMEX plugin for Slurm 24.05? It is not even in man page for slurm.conf, though it is in the release notes. Best regards, Taras

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Help with slurmdbd and Slurmctld
by stth 18 Jun '24

18 Jun '24

Hello, I wanted help with a problem I have. I just updated my operation system and the slurmdbd and slurmctld is not working anymore. I get this Errors: slurmdbd: fatal: Database schema is too old for this version of Slurm to upgrade. slurmctld: fatal: Can not recover last_tres state, incompatible version, got 9472 need >= 9728 <= 10240,start with '-i' to ignore this. Warning: using -i will lose the data that can't be recovered. I hope someone can help !

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Unsupported RPC version by slurmctld 19.05.3 from client slurmd 22.05.11
by aladin＠jscc.ru 17 Jun '24

17 Jun '24

Hello! I have a question. I have the server 19.05.3. No chance to upgrade it. Have I any chance to connect new client 22.05.11? Here is log from server: [2024-06-14T15:20:40.345] debug: Unsupported RPC version 9728 msg type 0(0) [2024-06-14T15:20:40.345] error: g_slurm_auth_unpack: remote plugin_id 12340565 not found [2024-06-14T15:20:40.345] error: slurm_unpack_received_msg: Invalid Protocol Version 9728 from uid=-1 at 10.82.0.6:52170 [2024-06-14T15:20:40.345] error: slurm_unpack_received_msg: Incompatible versions of client and server code [2024-06-14T15:20:40.355] error: slurm_receive_msg [10.82.0.6:52170]: Unspecified error Regards, Oleg

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Node (anti?) Feature / attribute
by David Magda 17 Jun '24

17 Jun '24

Hello, What I’m looking for is a way for a node to continue to be in the same partition, and have the same QoS(es), but only be chosen if a particular capability is being asked for. This is because we are rolling something (OS upgrade) out slowly to a small batch of nodes at first, and then more and more over time, and do not want to interrupt users’ workflows: we want them to default the ‘current’ nodes and only land on the ‘special’ ones if requested. (At a certain point the ‘special’ ones will become the majority and we’d swap the behaviour.) Slurm has the well-known feature item that can be put on a node(s): > A comma-delimited list of arbitrary strings indicative of some characteristic associated with the node. There is no value or count associated with a feature at this time, a node either has a feature or it does not. A desired feature may contain a numeric component indicating, for example, processor speed but this numeric component will be considered to be part of the feature string. Features are intended to be used to filter nodes eligible to run jobs via the --constraintargument. By default a node has no features. Also see Gres for being able to have more control such as types and count. Using features is faster than scheduling against GRES but is limited to Boolean operations. https://slurm.schedmd.com/slurm.conf.html#OPT_Features So if there are (a bunch of) partitions, and nodes with-in those partitions, a job can be submitted to a partition and it can be run any any available node, or even be requested to run a particular node (--nodelist). With the above (and --constraint / --prefer), a particular sub-set of node(s) can be requested. But (AIUI) that sub-set is also available generally to everyone, even if a particular feature is not requested. Is there a way to tell Slurm to not schedule a job on a node UNLESS a flag or option is set? Or is it necessary to set up new partition(s) or QoS(es)? I see that AllowAccounts (and AllowGroups) is applicable only to Partitions, and not (AFAICT) on a per node basis. We’re currently on 22.05.x, but upgrading is fine. Regards, David

4 6

Issue with starting slurmctld
by Rafał Lalik 17 Jun '24

17 Jun '24

Hello, I have encountered issues with running slurmctld. From logs, I see these errors: [2024-06-14T17:37:57.587] slurmctld version 24.05.0 started on cluster laura [2024-06-14T17:37:57.587] error: plugin_load_from_file: dlopen(/usr/lib64/slurm/jobacct_gather_cgroup.so): /usr/lib64/slurm/jobacct_gather_cgroup.so: undefined symbol: xcpuinfo_init [2024-06-14T17:37:57.587] error: Couldn't load specified plugin name for jobacct_gather/cgroup: Dlopen of plugin file failed [2024-06-14T17:37:57.587] error: cannot create jobacct_gather context for jobacct_gather/cgroup [2024-06-14T17:37:57.587] fatal: failed to initialize jobacct_gather plugin [2024-06-14T17:39:07.741] Not running as root. Can't drop supplementary groups Aftre setting #JobAcctGatherType= the problem changed to: [2024-06-14T17:39:07.742] slurmctld version 24.05.0 started on cluster laura [2024-06-14T17:39:07.742] error: plugin_load_from_file: dlopen(/usr/lib64/slurm/prep_script.so): /usr/lib64/slurm/prep_script.so: undefined symbol: send_slurmd_conf_lite [2024-06-14T17:39:07.742] error: Couldn't load specified plugin name for prep/script: Dlopen of plugin file failed [2024-06-14T17:39:07.742] error: prep_g_init: cannot create prep context for prep/script [2024-06-14T17:39:07.742] fatal: failed to initialize prep plugin I also tried that with git-master: [2024-06-14T17:48:21.691] Not running as root. Can't drop supplementary groups [2024-06-14T17:48:21.691] error: Job accounting information gathered, but not stored [2024-06-14T17:48:21.692] slurmctld version 24.11.0-0rc1 started on cluster laura [2024-06-14T17:48:21.692] error: plugin_load_from_file: dlopen(/usr/lib64/slurm/jobacct_gather_cgroup.so): /usr/lib64/slurm/jobacct_gather_cgroup.so: undefined symbol: xcpuinfo_init [2024-06-14T17:48:21.692] error: Couldn't load specified plugin name for jobacct_gather/cgroup: Dlopen of plugin file failed [2024-06-14T17:48:21.692] error: cannot create jobacct_gather context for jobacct_gather/cgroup [2024-06-14T17:48:21.692] fatal: failed to initialize jobacct_gather plugin Any idea what may be wrong? Regards, Rafał -- Dr. inż. Rafal Lalik Jagiellonian University Faculty of Physics, Astronomy and Applied Computer Science ul. prof. Stanisława Łojasiewicza 11 30-348 Kraków, Poland Room : B-2-62 E-mail : rafal.lalik(a)uj.edu.pl Tel : (+48) 012 664 4587

2 2

Ill-formed config from the online configurator
by Rafał Lalik 17 Jun '24

17 Jun '24

The online configurator for JobAcctGatherType set to anything that none, generates config file with a such entry: #JobAcctGatherTypejobacct_gather/cgroup= or #JobAcctGatherTypejobacct_gather/linux= Regards, Rafał

1 0

cgroup issue on non-systemd system
by Rafał Lalik 14 Jun '24

14 Jun '24

Hello, per documentation, it is possible to run slurm on non systemd system with IgnoreSystemd=yes in cgroup.conf. However I had an error with slurmd: error: common_file_write_content: unable to open '/sys/fs/cgroup/system.slice/cgroup.subtree_control' for writing: No such file or directory error: Cannot enable cpuset in /sys/fs/cgroup/system.slice/cgroup.subtree_control: No such file or directory error: common_file_write_content: unable to open '/sys/fs/cgroup/system.slice/cgroup.subtree_control' for writing: No such file or directory error: Cannot enable memory in /sys/fs/cgroup/system.slice/cgroup.subtree_control: No such file or directory error: common_file_write_content: unable to open '/sys/fs/cgroup/system.slice/cgroup.subtree_control' for writing: No such file or directory error: Cannot enable cpu in /sys/fs/cgroup/system.slice/cgroup.subtree_control: No such file or directory error: Could not create scope directory /sys/fs/cgroup/system.slice/slurmstepd.scope: No such file or directory error: Couldn't load specified plugin name for cgroup/v2: Plugin init() callback failed error: cannot create cgroup context for cgroup/v2 error: Unable to initialize cgroup plugin error: slurmd initialization failed I could link it to the fact that '/sys/fs/cgroup/system.slice' does not exists when creating '/sys/fs/cgroup/system.slice/slurmstepd.scope' subdir. I propose small patch to the slurm which allows to create the path recursively (aka `mkdir -p` from shell): (also here: https://github.com/rlalik/slurm/tree/recurse_mkdir) diff --git a/src/plugins/cgroup/v2/cgroup_v2.c b/src/plugins/cgroup/v2/cgroup_v2.c index a18b9e62bd..6b7e2a2e4a 100644 --- a/src/plugins/cgroup/v2/cgroup_v2.c +++ b/src/plugins/cgroup/v2/cgroup_v2.c @@ -743,11 +743,40 @@ static int _init_stepd_system_scope(pid_t pid) return SLURM_SUCCESS; } +/* This create path recursively.*/ +bool recurse_mkdir(const char *dirname, int mode) +{ + const char *p = dirname; + char *temp = calloc(1, strlen(dirname)+1); + int ret = 0; + + while ((p = strchr(p, '/')) != NULL) { + /* Skip empty elements. Could be just multiple separators + * which is okay. */ + if (p != dirname && *(p-1) == '/') { + p++; + continue; + } + /* Put the path up to this point into a temporary to + * pass to the make directory function. */ + memcpy(temp, dirname, p-dirname); + temp[p-dirname] = '\0'; + p++; + if ((ret = mkdir(temp, mode)) != 0) { + if (errno != EEXIST) { + break; + } + } + } + free(temp); + return ret; +} + static int _init_new_scope(char *scope_path) { int rc; - rc = mkdir(scope_path, 0755); + rc = recurse_mkdir(scope_path, 0755); if (rc && (errno != EEXIST)) { error("Could not create scope directory %s: %m", scope_path); return SLURM_ERROR;

1 0

Debian RPM build for arm64?
by Christopher Harrop - NOAA Affiliate 14 Jun '24

14 Jun '24

Hello, Are the instructions for building Debian RPMs found at https://slurm.schedmd.com/quickstart_admin.html#debuild expected to work on ARM machines? I am having trouble with the "debuild -b -uc -us” step. #10 29.01 configure: exit 1 #10 29.01 dh_auto_configure: error: cd obj-aarch64-linux-gnu && ../configure --build=aarch64-linux-gnu --prefix=/usr --includedir=\${prefix}/include --mandir=\${prefix}/share/man --infodir=\${prefix}/share/info --sysconfdir=/etc --localstatedir=/var --disable-silent-rules --libdir=\${prefix}/lib/aarch64-linux-gnu --runstatedir=/run --disable-maintainer-mode --disable-dependency-tracking --sysconfdir=/etc/slurm --disable-debug --with-slurmrestd --with-pmix --enable-pam --with-systemdsystemunitdir=/lib/systemd/system/ SUCMD=/bin/su SLEEP_CMD=/bin/sleep returned exit code 1 #10 29.01 make[1]: *** [debian/rules:21: override_dh_auto_configure] Error 25 #10 29.01 make[1]: Leaving directory '/tmp/slurm-23.11.7' #10 29.02 make: *** [debian/rules:6: build] Error 2 #10 29.02 dpkg-buildpackage: error: debian/rules build subprocess returned exit status 2 #10 29.02 debuild: fatal error at line 1182: #10 29.02 dpkg-buildpackage -us -uc -ui -b failed #10 ERROR: process "/bin/sh -c cd /tmp && wget https://download.schedmd.com/slurm/slurm-23.11.7.tar.bz2 && tar -xaf slurm-23.11.7.tar.bz2 && cd slurm-23.11.7 && mk-build-deps -t \"apt-get -o Debug::pkgProblemResolver=yes -y\" -i debian/control && debuild -b -uc -us && cd .. && ARCH=$(dpkg --print-architecture) && dpkg --install slurm-smd_23.11.7-1_${ARCH}.deb && dpkg --install slurm-smd-client_23.11.7-1_${ARCH}.deb && dpkg --install slurm-smd-dev_23.11.7-1_${ARCH}.deb && dpkg --install slurm-smd-doc_23.11.7-1_all.deb && dpkg --install slurm-smd-libnss-slurm_23.11.7-1_${ARCH}.deb && dpkg --install slurm-smd-libpam-slurm-adopt_23.11.7-1_${ARCH}.deb && dpkg --install slurm-smd-libpmi0_23.11.7-1_${ARCH}.deb && dpkg --install slurm-smd-libpmi2-0_23.11.7-1_${ARCH}.deb && dpkg --install slurm-smd-libslurm-perl_23.11.7-1_${ARCH}.deb && dpkg --install slurm-smd-sackd_23.11.7-1_${ARCH}.deb && dpkg --install slurm-smd-sview_23.11.7-1_${ARCH}.deb" did not complete successfully: exit code: 29 Chris --------------------------------------------------------------------------------------------------- Christopher W. Harrop voice: (720) 649-0316 NOAA Global Systems Laboratory, R/GSL6 fax: (303) 497-7259 325 Broadway Boulder, CO 80303

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Re: slurmstepd: error: task_g_set_affinity: Operation not permitted
by Christopher Harrop - NOAA Affiliate 14 Jun '24

14 Jun '24

There is a permission problem somewhere, but I don’t know where. If I run as root, it works: admin@slurmfrontend:~$ srun hostname srun: error: task 0 launch failed: Slurmd could not execve job slurmstepd: error: task_g_set_affinity: Operation not permitted slurmstepd: error: _exec_wait_child_wait_for_parent: failed: No error admin@slurmfrontend:~$ sudo srun hostname slurmnode1 admin@slurmfrontend:~$ sudo srun -N 3 hostname slurmnode1 slurmnode3 slurmnode2 admin@slurmfrontend:~$ Chris --------------------------------------------------------------------------------------------------- Christopher W. Harrop voice: (720) 649-0316 NOAA Global Systems Laboratory, R/GSL6 fax: (303) 497-7259 325 Broadway Boulder, CO 80303

2 1

Re: Limit GPU depending on type
by Gestió Servidors 14 Jun '24

14 Jun '24

Hi, because of my real scenario (in mi first post I explained my testing scenario), with several differents users of differents types (researchers, university students and/or teachers, etc), I have distributed my GPUs in 3 differents partitions: * PartitionName=cuda-staff.q Nodes=gpu-[1-4] OverSubscribe=No MaxTime=INFINITE State=UP AllocNodes=node[0-22],node-login,node-login-bak AllowGroups=caos,profesor * PartitionName=cuda-int.q Nodes=gpu-[2,4] OverSubscribe=No MaxTime=30:00 State=UP AllocNodes=node[0-22] * PartitionName=cuda-ext.q Nodes=gpu-[1,3] OverSubscribe=No MaxTime=30:00 State=UP AllocNodes=node[0-22],node-login,node-login-bak Explanation: * In “cuda-staff.q”, only teachers could submit and they can submit from each lab node or each login node. * In “cuda-int.q” everybody can submit, but only from lab nodes. * In “cuda-ex.q” everybody can also submit, but in this case, from lab nodes and login nodes. Since now, I have not used “QoS”... but I’m going to install a new data/user server and I want to reconfigure SLURM. If I distributed GPUs in the way that Gerhard Strangar explains (both similar RTX3080) in a partition with restricted QoS and all other GPUs in other partition, some GPUs that now are restricted for “inside lab user” will be accessible from “outside lab user”. So I think (all teachers want this way ☹ ) I must have these partitions distribution. However, if I apply a QoS limiting only one GPU in each partition. it woulb be possible that a user could user one RTX3080 from outside lab and the other RTX3080 from inside lab… and this is what I want to deny. I will reread documentation. All help will be appreciated, of course!!!! Thanks.

1 0

Slurm version 23.11.8 is now available
by Marshall Garey 13 Jun '24

13 Jun '24

We are pleased to announce the availability of Slurm version 23.11.8. The 23.11.8 release fixes some potential crashes in slurmctld, slurmrestd, and slurmd when using less common features; two issues in auth/slurm; and a few other minor bugs. Slurm can be downloaded from https://www.schedmd.com/downloads.php . -Marshall > -- Fix slurmctld crash when reconfiguring with a PrologSlurmctld is running. > -- Fix slurmctld crash after a job has been resized. > -- Fix slurmctld and slurmdbd potentially stopping instead of performing a > logrotate when recieving SIGUSR2 when using auth/slurm. > -- Fix not having a disabled value for keepalive CommunicationParameters in > slurm.conf when these parameters are not set. This can log an error when > setting a socket, for example during slurmdbd registration with ctld. > -- switch/hpe_slingshot - Fix slurmctld crash when upgrading from 23.02. > -- Fix "Could not find group" errors from validate_group() when using > AllowGroups with large /etc/group files. > -- slurmrestd - Prevent a slurmrestd segfault when parsing the crontab field, > which was never usable. Now it explicitly ignores the value and emits a > warning if it is used for the following endpoints: > 'POST /slurm/v0.0.39/job/{job_id}' > 'POST /slurm/v0.0.39/job/submit' > 'POST /slurm/v0.0.40/job/{job_id}' > 'POST /slurm/v0.0.40/job/submit' > -- Fix getting user environment when using sbatch with "--get-user-env" or > "--export=" when there is a user profile script that reads /proc. > -- Prevent slurmd from crashing if acct_gather_energy/gpu is configured but > GresTypes is not configured. > -- Do not log the following errors when AcctGatherEnergyType plugins are used > but a node does not have or cannot find sensors: > "error: _get_joules_task: can't get info from slurmd" > "error: slurm_get_node_energy: Zero Bytes were transmitted or received" > However, the following error will continue to be logged: > "error: Can't get energy data. No power sensors are available. Try later" > -- Fix cloud nodes not being able to forward to nodes that restarted with new > IP addresses. > -- sacct - Fix printing of job group for job steps. > -- Fix error in scrontab jobs when using slurm.conf:PropagatePrioProcess=1. > -- Fix slurmctld crash on a batch job submission with "--nodes 0,...". > -- Fix dynamic IP address fanout forwarding when using auth/slurm.

1 0

slurmstepd: error: task_g_set_affinity: Operation not permitted
by Christopher Harrop - NOAA Affiliate 13 Jun '24

13 Jun '24

Hi, I am building a containerized Slurm cluster with Ubuntu 20.04 and have it almost working. The daemons start, and an “sinfo” command shows compute nodes up and available: admin@slurmfrontend:~$ sinfo PARTITION AVAIL TIMELIMIT NODES STATE NODELIST slurmpar* up infinite 3 idle slurmnode[1-3] admin@slurmfrontend:~$ However, if I try to use “srun” to test a job submission it fails saying it could not execve the job: admin@slurmfrontend:~$ srun hostname srun: error: task 0 launch failed: Slurmd could not execve job slurmstepd: error: task_g_set_affinity: Operation not permitted slurmstepd: error: _exec_wait_child_wait_for_parent: failed: No error admin@slurmfrontend:~$ If I go to the slurmnode1 container where the job should run, and look at the slurmd log, all I see is this: admin@slurmnode1:/$ sudo cat /var/log/slurmd.log [2024-06-13T14:58:36.238] CPU frequency setting not configured for this node [2024-06-13T14:58:36.239] warning: Core limit is only 0 KB [2024-06-13T14:58:36.239] slurmd version 23.11.7 started [2024-06-13T14:58:36.243] slurmd started on Thu, 13 Jun 2024 14:58:36 +0000 [2024-06-13T14:58:36.243] CPUs=8 Boards=1 Sockets=8 Cores=1 Threads=1 Memory=47926 TmpDisk=59767 Uptime=71713 CPUSpecList=(null) FeaturesAvail=(null) FeaturesActive=(null) [2024-06-13T14:58:47.230] launch task StepId=1.0 request from UID:1000 GID:1000 HOST:172.20.0.2 PORT:50618 [2024-06-13T14:58:47.230] task/affinity: lllp_distribution: JobId=1 implicit auto binding: sockets,one_thread, dist 8192 [2024-06-13T14:58:47.230] task/affinity: _task_layout_lllp_cyclic: _task_layout_lllp_cyclic [2024-06-13T14:58:47.230] task/affinity: _lllp_generate_cpu_bind: _lllp_generate_cpu_bind jobid [1]: mask_cpu,one_thread, 0x01 [2024-06-13T14:58:47.243] [1.0] error: task_g_set_affinity: Operation not permitted [2024-06-13T14:58:47.243] [1.0] error: _exec_wait_child_wait_for_parent: failed: No error [2024-06-13T14:58:47.244] [1.0] error: job_manager: exiting abnormally: Slurmd could not execve job [2024-06-13T14:58:47.247] [1.0] stepd_cleanup: done with step (rc[0xfb4]:Slurmd could not execve job, cleanup_rc[0xfb4]:Slurmd could not execve job) admin@slurmnode1:/$ I’ve installed by following the instructions for building/installing the Debian RPMs and can see that all the daemons are up and running. I have this slurm.conf (on all nodes): admin@slurmfrontend:~$ grep -v '#' /etc/slurm/slurm.conf ClusterName=cluster SlurmctldHost=slurmmaster MpiDefault=none ProctrackType=proctrack/linuxproc ReturnToService=1 SlurmdParameters=config_overrides SlurmctldPidFile=/var/run/slurmctld.pid SlurmctldPort=6817 SlurmdPidFile=/var/run/slurmd.pid SlurmdPort=6818 SlurmdSpoolDir=/var/spool/slurmd SlurmUser=root StateSaveLocation=/var/spool/slurmctld SwitchType=switch/none TaskPlugin=task/affinity InactiveLimit=0 KillWait=30 MinJobAge=300 SlurmctldTimeout=120 SlurmdTimeout=300 Waittime=0 SchedulerType=sched/backfill SelectType=select/cons_tres AccountingStorageType=accounting_storage/none JobCompType=jobcomp/none JobAcctGatherFrequency=30 JobAcctGatherType=jobacct_gather/none SlurmctldDebug=info SlurmctldLogFile=/var/log/slurmctld.log SlurmdDebug=info SlurmdLogFile=/var/log/slurmd.log NodeName=slurmnode[1-3] CPUs=8 State=UNKNOWN PartitionName=slurmpar Nodes=ALL Default=YES MaxTime=INFINITE State=UP admin@slurmfrontend:~$ And I have this group.conf (on all nodes): admin@slurmfrontend:~$ grep -v '#' /etc/slurm/cgroup.conf CgroupPlugin=cgroup/v1 ConstrainCores=yes ConstrainDevices=yes ConstrainRAMSpace=yes admin@slurmfrontend:~$ Does anyone have any clues about where to look for why “srun” can’t run a job and where the "task_g_set_affinity: Operation not permitted” may be coming from? Chris --------------------------------------------------------------------------------------------------- Christopher W. Harrop voice: (720) 649-0316 NOAA Global Systems Laboratory, R/GSL6 fax: (303) 497-7259 325 Broadway Boulder, CO 80303

1 0

Limit GPU depending on type
by Gestió Servidors 13 Jun '24

13 Jun '24

Hello, I would like to know if it would be possible to limit, using "sacctmgr", use of a certain type of GPU according the name I have assigned in "gres.conf" file. For example, my small cluster has 3 GPUs nodes sharing 2 GPUs each one. Two of that GPUs are the same model but they are located in different servers. Because of my scenario, I would like to limit users to user only one of that GPU type and not allowing to use both of them. For example: * gpu-node-1: * GTX1080 * RTX3080 * gpu-node-2: * GTX750 * GTX680 * gpu-node-3: * RTX2070 * RTX3080 What I want is users could user all of them but simultaniously, a user only could use one of the RTX3080. Using QoS I have created a new "qos" with "sacctmgr add qos test-gpu-limit MaxTRESPerUser=gres/gpu=1", but with this new QoS, users are limited to use only one GPU, even they need to use different GPUs models. I have tried with "sacctmgr add qos test-gpu-limit MaxTRESPerUser=gres/gpu:RTX3080:1" but system returns this error "sacctmgr: error: slurmdb_format_tres_str: no TRES id found for gres/gpu:RTX3080:1". So, could be possible to apply limits I want to apply? Thanks. -- [cid:image003.jpg@01DABD6A.8DFD6D30]<http://www.uab.cat/> Daniel Ruiz Molina Tècnic Mitjà Informàtic Arquitectura de Computadors i Sistemes Operatius Escola d'Enginyeria Edifici Q - Despatx QC/3052 - Carrer de les Sitges Campus de la UAB · 08193 Bellaterra (Cerdanyola del Vallès) · Barcelona · Spain +34 93 581 35 44 www.uab.cat<http://www.uab.cat/> Daniel Ruiz at UAB<https://tinyurl.com/yd95zb8j> [cid:image004.jpg@01DABD6A.8DFD6D30]<www.linkedin.com/in/daniel-ruiz-molina-50a83b27> Aquest missatge s'adreça exclusivament a la persona destinatària i pot contenir informació privada o confidencial. Si l'heu rebut per error, comuniqueu-nos-ho i destruïu-lo, i tingueu present que no teniu autorització per fer-ne cap ús. Abans d'imprimir aquest missatge penseu en el medi ambient.

2 1

srun hostname - Socket timed out on send/recv operation
by Arnuld 11 Jun '24

11 Jun '24

I have two machines. When I run "srum hostname" on one machine (it's both a controller and a node) then I get the hostname fine but I get socket timed out error in these two situations: 1) "srun hostname" on 2nd machine (it's a node) 2) "srun -N 2 hostname" on controller "scontrol show node" shows both mach2 and mach4. "sinfo" shows both nodes too. Also the job gets stuck forever in CG state after the error. Here is the output: $ srun -N 2 hostname mach2 srun: error: slurm_receive_msgs: [[mach4]:6818] failed: Socket timed out on send/recv operation srun: error: Task launch for StepId=2222.0 failed on node hpc4: Socket timed out on send/recv operation srun: error: Application launch failed: Socket timed out on send/recv operation srun: Job step aborted Output form "squeue" 3 seconds apart Tue Jun 11 05:09:56 2024 JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON) 2222 poxo hostname arnuld R 0:19 2 mach4,mach2 Tue Jun 11 05:09:59 2024 JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON) 2222 poxo hostname arnuld CG 0:20 1 mach4

1 1

sbatch: Node count specification invalid - when only specifying --ntasks
by George Leaver 11 Jun '24

11 Jun '24

Hello, Previously we were running 22.05.10 and could submit a "multinode" job using only the total number of cores to run, not the number of nodes. For example, in a cluster containing only 40-core nodes (no hyperthreading), Slurm would determine two nodes were needed with only: sbatch -p multinode -n 80 --wrap="...." Now in 23.02.1 this is no longer the case - we get: sbatch: error: Batch job submission failed: Node count specification invalid At least -N 2 is must be used (-n 80 can be added) sbatch -p multinode -N 2 -n 80 --wrap="...." The partition config was, and is, as follows (MinNodes=2 to reject small jobs submitted to this partition - we want at least two nodes requested) PartitionName=multinode State=UP Nodes=node[081-245] DefaultTime=168:00:00 MaxTime=168:00:00 PreemptMode=OFF PriorityTier=1 DefMemPerCPU=4096 MinNodes=2 QOS=multinode Oversubscribe=EXCLUSIVE Default=NO All nodes are of the form NodeName=node245 NodeAddr=node245 State=UNKNOWN Procs=40 Sockets=2 CoresPerSocket=20 ThreadsPerCore=1 RealMemory=187000 slurm.conf has EnforcePartLimits = ANY SelectType = select/cons_tres TaskPlugin = task/cgroup,task/affinity A few fields from: sacctmgr show qos multinode Name|Flags|MaxTRES multinode|DenyOnLimit|node=5 The sbatch/srun man page states: -n, --ntasks .... If -N is not specified, the default behavior is to allocate enough nodes to satisfy the requested resources as expressed by per-job specification options, e.g. -n, -c and --gpus. I've had a look through release notes back to 22.05.10 but can't see anything obvious (to me). Has this behaviour changed? Or, more likely, what have I missed ;-) ? Many thanks, George -- George Leaver Research Infrastructure, IT Services, University of Manchester http://ri.itservices.manchester.ac.uk | @UoM_eResearch

2 3

Issue about selecting cpus for optimization
by Purvesh Parmar 10 Jun '24

10 Jun '24

Hi, We have 16 nodes cluster with DGX-A100 (80 GB). We have 128 cores of each node separated in to a separate partition for cpu only jobs and 8 GPUs and 128 cores in other partitions for cpugpu jobs. We want to ensure that only selected 128 cores should be part of the cpu partition. (NUMA / Symmetry) for optimization. How to achieve it? cores parameter in gres.conf help? Regards, Purvesh

1 0

scontrol create partition fails
by Long, Daniel S. 10 Jun '24

10 Jun '24

Hi, I need to temporarily dedicated one of our compute nodes to a single account. To do this, I was going to create a new partition but I'm running into an error where scontrol create partition outputs "scontrol: error: Invalid input: partition Request aborted" regardless of what parameters I give it. As far as I can tell, this should be allowed; the man page for scontrol has a whole section titled "Partitions - Specficiations for Create, Update, and Delete Commands". What am I missing? Also, is there a better way to approach this? This is really just a one or two day thing and I'm a little surprised there's no easy way to cordon off a node for a user or a project without spinning up an entire partition. Am I missing something obvious? Thanks for any help you can provide.

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Software builds using slurm
by Duane Ellis 10 Jun '24

10 Jun '24

I have been lurking here for a while hoping to see some examples that would help but have not fit several months We have a slurm system setup for xilnix FPGA builds (hdl) I want to use this for sw builds too What I seem to see is slurm talks about cpus, GPUs and memory etc I am looking for a “run my make file (or shell script) on any available node” In our case we have 3 top level jobs A B and C These can all run in parallel and are independent (ie bootloader, linux kernel, and the Linux root file system via buildroot) Job A (boot) is actually about 7 small builds that are independent I am looking for a means to fork n jobs (ie job A B and C above) across the cluster and wait/collect the std output of those n jobs and the exit status Job A would then fork and build 7 to 8 sub jobs When they are done it would assemble the result into what Xilinix calls boot.bin Job B is a Linux kernel build Job C is buildroot so there are several (n=50) smaller builds ie bash, busybody, and other tools like python for the target agian each of these can be executed in parallel Really do not (cannot) re architect my build to be a slurm only build because it also need to be able to run without slurm ie build everything on my laptop without slurm present In that case the jobs would run serially and take an hour or so the hope is by parallelizing the sw build jobs our overall cycle time will improve It would also be nice if the slurm cluster would adapt to the available nodes automatically Our hope is we can run our lab pcs as duel boot they normally boot windows but we can duel boot them into Linux and they become a compile node and auto join the cluster and the cluster sees them as going off line when somebody reboots the machine back to windows Sent from my iPhone

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Re: sbatch: Node count specification invalid - when only specifying --ntasks
by George Leaver 10 Jun '24

10 Jun '24

Noam, Thanks for the suggestion but no luck: sbatch -p multinode -n 80 --ntasks-per-core=1 --wrap="..." sbatch: error: Batch job submission failed: Node count specification invalid sbatch -p multinode -n 2 -c 40 --ntasks-per-core=1 --wrap="..." sbatch: error: Batch job submission failed: Node count specification invalid sbatch -p multinode -N 2 -n 80 --ntasks-per-core=1 --wrap="..." Submitted batch job I guess that the MinNodes=2 in the partition def is now being enforced somewhat more strictly, or earlier in the submission process, before it can be determined that the request will satisfy the constraint. Regards, George -- George Leaver Research Infrastructure, IT Services, University of Manchester http://ri.itservices.manchester.ac.uk | @UoM_eResearch ________________________________________ From: Bernstein, Noam CIV USN NRL WASHINGTON DC (USA) <noam.bernstein.civ(a)us.navy.mil> Sent: 09 June 2024 19:33 To: George Leaver; slurm-users(a)lists.schedmd.com Subject: Re: sbatch: Node count specification invalid - when only specifying --ntasks It would be a shame to lose this capability. Have you tried adding `--ntasks-per-core` explicitly (but not number of nodes)? Noam

1 0

cpu distribution question
by Alan Stange 08 Jun '24

08 Jun '24

All, I have a very simple slurm cluster. It's just a single system with 2 sockets and 16 cores in each socket. I would like to be able to submit a simple task into this cluster, and to have the cpus assigned to that task allocated round robin across the two sockets. Everything I try is putting all the cpus for this single task on the same socket. I have not specified any CpuBind options in the slurm.conf file. For example, if I try $ srun -c 4 --pty bash I get a shell prompt on the system, and can run $ taskset -cp $$ pid 12345 current affinity list: 0,2,4,6 and I get this same set of cpus no matter what options I try (the cluster is idle with no tasks consuming slots). I've tried various srun command line options like: --hint=compute_bound --hint=memory_bound various --cpubind options -B 2:2 -m block:cyclic and block:fcyclic Note that if I try to allocation 17 cpus, then I do get the 17th cpu allocated on the 2nd socket. What magic incantation is needed to get an allocation where the cpus are chosen round robin across the sockets? Thank you! Alan

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maxrss reported by sachet is wrong
by Feng Zhang 07 Jun '24

07 Jun '24

Hi All, I am having trouble calculating the real RSS memory usage by some kind of users' jobs. Which the sacct returned wrong numbers. Rocky Linux release 8.5, Slurm 21.08 (slurm.conf) ProctrackType=proctrack/cgroup JobAcctGatherType=jobacct_gather/linux The troubling jobs are like: 1. python spawn multithreading 96 threads; 2. Each thread uses SKlearn which again spawns 96 threads using openmp. Which is obviously over running the node, and I want to address it. The node has 300GB RAM, but the "sacct" (and seff) reports 1.2TB MaxRSS(also AveRSS). This does not look correct. I am suspecting that whether the SLurm+jobacct_gather/linux repeatedly sums up the memory used by all these threads, multiple counted the same thing many times. For the openMP part, maybe it is fine for slurm; while for python/multithreading, maybe it can not work well with Slurm for memory accounting? So, if this is the case, maybe 1.2TB/96= 12GB MaxRSS? I want to get the right MaxRSS to report to users. Thanks! Best, Feng

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need to set From: address for slurm
by Vanhorn, Mike 07 Jun '24

07 Jun '24

All, When the slurm daemon is sending out emails, they are coming from “slurm(a)servername.subdomain.domain.edu<mailto:slurm@servername.subdomain.domain.edu>”. This has worked okay in the past, but due to a recent mail server change (over which I have no control whatsoever) this will no longer work. Now, the From: address is going to have to be something like “slurm-servername(a)domain.xn--edu-9o0a , or, at least something that ends in “(a)domain.xn--edu-9o0a (the subdomain being present will cause it to get rejected by the mail server. I am not seeing in the documentation how to change the “From:” address tha slurm uses. Is there a way to do this and I’m just missing it? --- Mike VanHorn Senior Computer Systems Administrator College of Engineering and Computer Science Wright State University 265 Russ Engineering Center 937-775-5157 michael.vanhorn(a)wright.edu

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Re: Not being able to ssh to node with running job
by Ratnasamy, Fritz 06 Jun '24

06 Jun '24

So the squeue issue was resolved and was due to the partition being hidden. Unhiding it solves the problem. However, the ssh issue remains (looks like both were separate issues). The pam_slurm_adopt is working on all the other nodes but not on the new ones. Any idea how to solve this? Best, *Fritz Ratnasamy* Data Scientist Information Technology On Thu, Jun 6, 2024 at 2:11 PM Ratnasamy, Fritz via slurm-users < slurm-users(a)lists.schedmd.com> wrote: > As admin on the cluster, we do not observe any issue on our newly added > gpu nodes. > However, for regular users, they are not seeing their jobs running on > these gpu nodes when running squeue -u <username> ( it is > however showing as running status with sacct) and they are not able to ssh > to these newly added nodes when they have a running job on it. > I am not sure if these 2 are related (not being to ssh to mgpu node with > a running job on it and not listing a job with squeue for a user on the > same node). There are no issues reported on the other nodes. Anyone know > what is happening? > Best, > > *Fritz Ratnasamy* > > Data Scientist > > Information Technology > > > CAUTION: This email has originated outside of University email systems. > Please do not click links or open attachments unless you recognize the > sender and trust the contents as safe. > >

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Re: JWKS File Update - Reread File
by Pedro Daniel Da Rocha Santos 06 Jun '24

06 Jun '24

Thanks for the reply. I was not aware of that change in 23.11. I am still using Slurm 23.02.7. Best regards, Pedro D.R. Santos Specialist, Ph.D., High Performance Computing Vestas Technology Centre Porto Vestas Wind Systems A/S Vestas will as part of your communication, interaction and business relationship with us collect and process personal data about you. You can read more about Vestas' collection and processing of your personal data and your rights as a data subject in our Privacy Policy<https://www.vestas.com/en/about/profile/privacy-policy>. Classification: Restricted

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Not being able to ssh to node with running job
by Ratnasamy, Fritz 06 Jun '24

06 Jun '24

As admin on the cluster, we do not observe any issue on our newly added gpu nodes. However, for regular users, they are not seeing their jobs running on these gpu nodes when running squeue -u <username> ( it is however showing as running status with sacct) and they are not able to ssh to these newly added nodes when they have a running job on it. I am not sure if these 2 are related (not being to ssh to mgpu node with a running job on it and not listing a job with squeue for a user on the same node). There are no issues reported on the other nodes. Anyone know what is happening? Best, *Fritz Ratnasamy* Data Scientist Information Technology

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JWKS File Update - Reread File
by Pedro Daniel Da Rocha Santos 06 Jun '24

06 Jun '24

Hello everyone, I am currently implementing a service to monitor for jwks key rotation. If a change is detected, the jwks file is updated. Is it enough to use "scontrol reconfigure" to reread the jwks file? Or does it require a full restart of the slurmctl daemon? Thanks in advance for the inputs. Best regards, Pedro D.R. Santos Specialist, Ph.D., High Performance Computing Vestas Technology Centre Porto Vestas Wind Systems A/S +351 924 241 907 pddro(a)vestas.com<mailto:pddro@vestas.com> http://www.vestas.com<http://www.vestas.com/> Company reg. name: Vestas Wind Systems A/S This e-mail is subject to our e-mail disclaimer statement. Please refer to www.vestas.com/legal/notice<http://www.vestas.com/legal/notice> If you have received this e-mail in error please contact the sender. Vestas will as part of your communication, interaction and business relationship with us collect and process personal data about you. You can read more about Vestas' collection and processing of your personal data and your rights as a data subject in our Privacy Policy<https://www.vestas.com/en/about/profile/privacy-policy>. Classification: Restricted

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diagnosing why interactive/non-interactive job waits are so long with State=MIXED
by Robert Kudyba 05 Jun '24

05 Jun '24

At the moment we have 2 nodes that are having long wait times. Generally this is when the nodes are fully allocated. What would be the other reasons if there is still enough available memory and CPU available, that a job would take so long? Slurm version is 23.02.4 via Bright Computing. Note the compute nodes have hyperthreading enabled but that should be irrelevant. Is there a way to determine what else could be holding jobs up? srun --pty -t 0-01:00:00 --nodelist=node001 --gres=gpu:1 -A ourts -p short /bin/bash srun: job 672204 queued and waiting for resources scontrol show node node001 NodeName=m001 Arch=x86_64 CoresPerSocket=48 CPUAlloc=24 CPUEfctv=192 CPUTot=192 CPULoad=20.37 AvailableFeatures=location=local ActiveFeatures=location=local Gres=gpu:A6000:8 NodeAddr=node001 NodeHostName=node001 Version=23.02.4 OS=Linux 5.14.0-70.13.1.el9_0.x86_64 #1 SMP PREEMPT Thu Apr 14 12:42:38 EDT 2022 RealMemory=1031883 AllocMem=1028096 FreeMem=222528 Sockets=2 Boards=1 State=MIXED ThreadsPerCore=2 TmpDisk=0 Weight=1 Owner=N/A MCS_label=N/A Partitions=ours,short BootTime=2024-04-29T16:18:30 SlurmdStartTime=2024-05-18T16:48:11 LastBusyTime=2024-06-03T10:49:49 ResumeAfterTime=None CfgTRES=cpu=192,mem=1031883M,billing=192,gres/gpu=8 AllocTRES=cpu=24,mem=1004G,gres/gpu=2,gres/gpu:a6000=2 CapWatts=n/a CurrentWatts=0 AveWatts=0 ExtSensorsJoules=n/s ExtSensorsWatts=0 ExtSensorsTemp=n/s grep 672204 /var/log/slurmctld [2024-06-04T15:50:35.627] sched: _slurm_rpc_allocate_resources JobId=672204 NodeList=(null) usec=852

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Re: Problems with gres.conf
by Gestió Servidors 05 Jun '24

05 Jun '24

Hi, my GPU testing system (named “gpu-node”) is a simple computer with one socket and a processor " Intel(R) Core(TM) i7 CPU 950 @ 3.07GHz". Executing "lscpu", I can see there are 4 cores per socket, 2 threads per core and 8 CPUs: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 8 On-line CPU(s) list: 0-7 Thread(s) per core: 2 Core(s) per socket: 4 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 26 Model name: Intel(R) Core(TM) i7 CPU 950 @ 3.07GHz My “gres.conf” file is: NodeName=gpu-node Name=gpu Type=GeForce-GTX-TITAN-X File=/dev/nvidia0 CPUs=0-1 NodeName=gpu-node Name=gpu Type=GeForce-GTX-TITAN-Black File=/dev/nvidia1 CPUs=2-3 Running “numactl -H” in “gpu-node” host, reports: available: 1 nodes (0) node 0 cpus: 0 1 2 3 4 5 6 7 node 0 size: 7809 MB node 0 free: 6597 MB node distances: node 0 0: 10 CPUs are assigned 0-1 for first GPU and 2-3 for second GPU. However, “lscpu” shows 8 CPUs… If I rewrite “gres.conf” in this way: NodeName=gpu-node Name=gpu Type=GeForce-GTX-TITAN-X File=/dev/nvidia0 CPUs=0-3 NodeName=gpu-node Name=gpu Type=GeForce-GTX-TITAN-Black File=/dev/nvidia1 CPUs=4-7 when I run “scontrol reconfigure”, slurmctld log reports this error message: [2024-06-05T11:42:18.558] error: _node_config_validate: gres/gpu: invalid GRES core specification (4-7) on node gpu-node So I think SLURM only can get physical cores and not threads, so my node only can serve 4 cores (in “lspcu”) but in gres.conf I need to write “CPUs”, not “Cores”… isn’t it? But if “numactl -H” shows 8 CPUs, why I can use this 8 CPUs in “gres.conf”? Sorry about this large email. Thanks.

1 0

Problems with gres.conf
by Gestió Servidors 04 Jun '24

04 Jun '24

Hello, I am trying to rewrite my gres.conf file. Before changes, this file was just like this: NodeName=node-gpu-1 AutoDetect=off Name=gpu Type=GeForceRTX2070 File=/dev/nvidia0 Cores=0-11 NodeName=node-gpu-1 AutoDetect=off Name=gpu Type=GeForceGTX1080Ti File=/dev/nvidia1 Cores=12-23 NodeName=node-gpu-2 AutoDetect=off Name=gpu Type=GeForceGTX1080Ti File=/dev/nvidia0 Cores=0-11 NodeName=node-gpu-2 AutoDetect=off Name=gpu Type=GeForceGTX1080 File=/dev/nvidia1 Cores=12-23 NodeName=node-gpu-3 AutoDetect=off Name=gpu Type=GeForceRTX3080 File=/dev/nvidia0 Cores=0-11 NodeName=node-gpu-4 AutoDetect=off Name=gpu Type=GeForceRTX3080 File=/dev/nvidia0 Cores=0-7 # you can seee that nodes node-gpu-1 and node-gpu-2 have two GPUs each one, whereas nodes node-gpu-3 and node-gpu-4 have only one GPU each one And my slurmd.conf was this: [...] AccountingStorageTRES=gres/gpu GresTypes=gpu NodeName=node-gpu-1 CPUs=24 SocketsPerBoard=2 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=96000 TmpDisk=47000 Gres=gpu:GeForceRTX2070:1,gpu:GeForceGTX1080Ti:1 NodeName=node-gpu-2 CPUs=24 SocketsPerBoard=2 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=96000 TmpDisk=47000 Gres=gpu:GeForceGTX1080Ti:1,gpu:GeForceGTX1080:1 NodeName=node-gpu-3 CPUs=12 SocketsPerBoard=1 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=23000 Gres=gpu:GeForceRTX3080:1 NodeName=node-gpu-4 CPUs=8 SocketsPerBoard=1 CoresPerSocket=4 ThreadsPerCore=2 RealMemory=7800 Gres=gpu:GeForceRTX3080:1 NodeName=node-worker-[0-22] CPUs=12 SocketsPerBoard=1 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=47000 [...] With this configuration, all seems works fine, except slurmctld.log reports: [...] error: _node_config_validate: gres/gpu: invalid GRES core specification (0-11) on node node-gpu-3 error: _node_config_validate: gres/gpu: invalid GRES core specification (12-23) on node node-gpu-1 error: _node_config_validate: gres/gpu: invalid GRES core specification (12-23) on node node-gpu-2 error: _node_config_validate: gres/gpu: invalid GRES core specification (0-7) on node node-gpu-4 [...] However, even these errors, users can submit jobs and request GPUs resources. Now, I have tried to reconfigure gres.conf and slurmd.conf in this way: gres.conf: Name=gpu Type=GeForceRTX2070 File=/dev/nvidia0 Name=gpu Type=GeForceGTX1080Ti File=/dev/nvidia1 Name=gpu Type=GeForceGTX1080Ti File=/dev/nvidia0 Name=gpu Type=GeForceGTX1080 File=/dev/nvidia1 Name=gpu Type=GeForceRTX3080 File=/dev/nvidia0 Name=gpu Type=GeForceRTX3080 File=/dev/nvidia0 # there is no NodeName attribute slurmd.conf: [...] NodeName=node-gpu-1 SocketsPerBoard=2 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=96000 TmpDisk=47000 Gres=gpu:GeForceRTX2070:1,gpu:GeForceGTX1080Ti:1 NodeName=node-gpu-2 SocketsPerBoard=2 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=96000 TmpDisk=47000 Gres=gpu:GeForceGTX1080Ti:1,gpu:GeForceGTX1080:1 NodeName=node-gpu-3 SocketsPerBoard=1 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=23000 Gres=gpu:GeForceRTX3080:1 NodeName=node-gpu-4 SocketsPerBoard=1 CoresPerSocket=4 ThreadsPerCore=2 RealMemory=7800 Gres=gpu:GeForceRTX3080:1 NodeName=node-worker-[0-22] SocketsPerBoard=1 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=47000 # there is no CPUs attribute [...] With this new configuration, nodes with GPU start correctly slurmd.service daemon, but nodes without GPU (node-worker-[0-22]) can't start slurmd.service daemon and returns this error: [...] error: Waiting for gres.conf file /dev/nvidia0 fatal: can't stat gres.conf file /dev/nvidia0: No such file or directory [...] It seems SLURM is waiting that "node-workers" have also an nvidia GPU but not, theses nodes haven't GPU... So, where is my configuration error? I have read in https://slurm.schedmd.com/gres.conf.html about syntax and examples but it seems I'm doing some wrong. Thanks!!

2 1

Tracking GPU utilization with sacct
by Robertson, Jordan 03 Jun '24

03 Jun '24

Hi all, I’m trying to pull (and understand) some GPU usage metrics for historical purposes, and dug into sacct’s TRES reporting a bit. We have AccountingStorageTRES=gres/gpu set in slurm.conf so we do see gres/gpuutil and gres/gpumem numbers available, but I’m struggling to find Slurm-side documentation that describes the units of these values. In looking at the code for gpu_nvml.c it seems the “nvmlDeviceGetProcessUtilization” function is being used and returns units in percentages, but I’m lost on the rest of the calculation. Does anyone know if these units are percentages, and how they are calculated for the final job record, especially wrt multi-GPU jobs with a bunch of processes/moving parts? For context I’ve been looking at TRESUsageInTot and TRESUsageInAve so far. Also we’re currently running Slurm v23.02.6 Thanks in advance! -- Jordan Robertson Preferred pronouns: he/him/his Technology Architect | Research Technology Services DigITs, Technology Division Memorial Sloan Kettering Cancer Center 929-687-1066 robertj8(a)mskcc.org<mailto:robertj8@mskcc.org> ===================================================================== Please note that this e-mail and any files transmitted from Memorial Sloan Kettering Cancer Center may be privileged, confidential, and protected from disclosure under applicable law. If the reader of this message is not the intended recipient, or an employee or agent responsible for delivering this message to the intended recipient, you are hereby notified that any reading, dissemination, distribution, copying, or other use of this communication or any of its attachments is strictly prohibited. If you have received this communication in error, please notify the sender immediately by replying to this message and deleting this message, any attachments, and all copies and backups from your computer. Disclaimer ID:MSKCC

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sbatch and --nodes
by Michael DiDomenico 31 May '24

31 May '24

its friday and i'm either doing something silly or have a misconfig somewhere, i can't figure out which when i run sbatch --nodes=1 --cpus-per-task=1 --array=1-100 --output test_%A_%a.txt --wrap 'uname -n' sbatch doesn't seem to be adhering to the --nodes param. when i look at my output files it's spreading them across more nodes. in the simple case above it's 50/50, but if i through a random sleep in, it'll be more. and if i expand the array it'll use even more nodes. i'm using con/tres and have cr_core_memory,cr_one_core_per_task set

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Re: Container Jobs "hanging"
by Joshua Randall 31 May '24

31 May '24

Hi Sean, I appear to be having the same issue that you are having with OCI container jobs running forever / appearing to hang. I haven't figured it out yet, but perhaps we can compare notes and determine what aspect of configuration we both share. Like you, I was following the examples in https://slurm.schedmd.com/containers.html and originally encountered the issue with an alpine container image running the `uptime` command, but I have also confirmed the issue with other images including ubuntu and with other processes. I always get the same results - the container process runs to completion and exits, but then the slurm job continues to run until it is cancelled or killed. I have slurm v23.11.6 and am using the nvidia-container-runtime, what slurm version and runtime are you using? My oci.conf is: ``` $ cat /etc/slurm/oci.conf EnvExclude="^(SLURM_CONF|SLURM_CONF_SERVER)=" RunTimeEnvExclude="^(SLURM_CONF|SLURM_CONF_SERVER)=" RunTimeQuery="nvidia-container-runtime --rootless=true --root=/run/user/%U/ state %n.%u.%j.%s.%t" RunTimeKill="nvidia-container-runtime --rootless=true --root=/run/user/%U/ kill -a %n.%u.%j.%s.%t" RunTimeDelete="nvidia-container-runtime --rootless=true --root=/run/user/%U/ delete --force %n.%u.%j.%s.%t" RunTimeRun="nvidia-container-runtime --rootless=true --root=/run/user/%U/ run %n.%u.%j.%s.%t -b %b" ``` Hope that we can get to the bottom of this and resolve our issues with OCI containers! Josh. --- Hello. I am new to this list and Slurm overall. I have a lot of experience in computer operations, including Kubernetes, but I am currently exploring Slurm in some depth. I have set up a small cluster and, in general, have gotten things working, but when I try to run a container job, it runs the command but then appears to hang as if the job container is still running. So, running the following works, but it never returns to the prompt unless I use [Control-C]. $ srun --container /shared_fs/shared/oci_images/alpine uptime 19:21:47 up 20:43, 0 users, load average: 0.03, 0.25, 0.15 I'm unsure if something is misconfigured or if I'm misunderstanding how this should work, but any help and/or pointers would be greatly appreciated. Thanks! Sean -- slurm-users mailing list -- slurm...(a)lists.schedmd.com To unsubscribe send an email to slurm-us...(a)lists.schedmd.com -- Dr. Joshua C. Randall Principal Software Engineer Altos Labs email: jrandall(a)altoslabs.com -- Altos Labs UK Limited | England | Company reg 13484917 Registered address: 3rd Floor 1 Ashley Road, Altrincham, Cheshire, United Kingdom, WA14 2DT

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slurmdbd not connecting to mysql (mariadb)
by Radhouane Aniba 31 May '24

31 May '24

Hi everyone I am trying to get slurmdbd to run on my local home server but I am really struggling. Note : am a novice slurm user my slurmdbd always times out even though all the details in the conf file are correct My log looks like this [2024-05-29T20:51:30.088] Accounting storage MYSQL plugin loaded [2024-05-29T20:51:30.088] debug2: ArchiveDir = /tmp [2024-05-29T20:51:30.088] debug2: ArchiveScript = (null) [2024-05-29T20:51:30.088] debug2: AuthAltTypes = (null) [2024-05-29T20:51:30.088] debug2: AuthInfo = (null) [2024-05-29T20:51:30.088] debug2: AuthType = auth/munge [2024-05-29T20:51:30.088] debug2: CommitDelay = 0 [2024-05-29T20:51:30.088] debug2: DbdAddr = localhost [2024-05-29T20:51:30.088] debug2: DbdBackupHost = (null) [2024-05-29T20:51:30.088] debug2: DbdHost = head-node [2024-05-29T20:51:30.088] debug2: DbdPort = 7032 [2024-05-29T20:51:30.088] debug2: DebugFlags = (null) [2024-05-29T20:51:30.088] debug2: DebugLevel = 6 [2024-05-29T20:51:30.088] debug2: DebugLevelSyslog = 10 [2024-05-29T20:51:30.088] debug2: DefaultQOS = (null) [2024-05-29T20:51:30.088] debug2: LogFile = /var/log/slurmdbd.log [2024-05-29T20:51:30.088] debug2: MessageTimeout = 100 [2024-05-29T20:51:30.088] debug2: Parameters = (null) [2024-05-29T20:51:30.088] debug2: PidFile = /run/slurmdbd.pid [2024-05-29T20:51:30.088] debug2: PluginDir = /usr/lib/x86_64-linux-gnu/slurm-wlm [2024-05-29T20:51:30.088] debug2: PrivateData = none [2024-05-29T20:51:30.088] debug2: PurgeEventAfter = 1 months* [2024-05-29T20:51:30.088] debug2: PurgeJobAfter = 12 months* [2024-05-29T20:51:30.088] debug2: PurgeResvAfter = 1 months* [2024-05-29T20:51:30.088] debug2: PurgeStepAfter = 1 months [2024-05-29T20:51:30.088] debug2: PurgeSuspendAfter = 1 months [2024-05-29T20:51:30.088] debug2: PurgeTXNAfter = 12 months [2024-05-29T20:51:30.088] debug2: PurgeUsageAfter = 24 months [2024-05-29T20:51:30.088] debug2: SlurmUser = root(0) [2024-05-29T20:51:30.089] debug2: StorageBackupHost = (null) [2024-05-29T20:51:30.089] debug2: StorageHost = localhost [2024-05-29T20:51:30.089] debug2: StorageLoc = slurm_acct_db [2024-05-29T20:51:30.089] debug2: StoragePort = 3306 [2024-05-29T20:51:30.089] debug2: StorageType = accounting_storage/mysql [2024-05-29T20:51:30.089] debug2: StorageUser = slurm [2024-05-29T20:51:30.089] debug2: TCPTimeout = 2 [2024-05-29T20:51:30.089] debug2: TrackWCKey = 0 [2024-05-29T20:51:30.089] debug2: TrackSlurmctldDown= 0 [2024-05-29T20:51:30.089] debug2: acct_storage_p_get_connection: request new connection 1 [2024-05-29T20:51:30.089] debug2: Attempting to connect to localhost:3306 [2024-05-29T20:51:30.090] slurmdbd version 19.05.5 started [2024-05-29T20:51:30.090] debug2: running rollup at Wed May 29 20:51:30 2024 [2024-05-29T20:51:30.091] debug2: Everything rolled up [2024-05-29T20:51:49.673] Terminate signal (SIGINT or SIGTERM) received [2024-05-29T20:51:49.673] debug: rpc_mgr shutting down my config file looks like this ArchiveEvents=yes ArchiveJobs=yes ArchiveResvs=yes ArchiveSteps=no ArchiveSuspend=no ArchiveTXN=no ArchiveUsage=no PurgeEventAfter=1month PurgeJobAfter=12month PurgeResvAfter=1month PurgeStepAfter=1month PurgeSuspendAfter=1month PurgeTXNAfter=12month PurgeUsageAfter=24month # Authentication info AuthType=auth/munge # slurmDBD info DbdAddr=localhost DbdHost=head-node DbdPort=7032 SlurmUser=root MessageTimeout=100 DebugLevel=5 #DefaultQOS=normal,standby LogFile=/var/log/slurmdbd.log PidFile=/run/slurmdbd.pid #PrivateData=accounts,users,usage,jobs #TrackWCKey=yes # # Database info StorageType=accounting_storage/mysql StorageHost=localhost StoragePort=3306 StoragePass=slurmdbpass StorageUser=slurm StorageLoc=slurm_acct_db I used standard names and passwords to get started and I will change later but everytime I try to start slurmdbd.service it crashes and I have that log that I shared with you I use these versions slurmdbd -V slurm-wlm 19.05.5 mysql Ver 15.1 Distrib 10.3.39-MariaDB, for debian-linux-gnu (x86_64) using readline 5.2 Everything else Is working properly except I cannot get slurmdbd to work and at this point I exhausted all my possible trials :) looking for some expert insights :) Any idea what I am doing wrong here ? Also I didn't compile any slurm package. I used the binary from apt repos Any help will be appreciated Cheers Rad --

7 12

Re: slurmdbd not connecting to mysql (mariadb)
by Radhouane Aniba 31 May '24

31 May '24

manually running it through sudo slurmdbd -D /path/to/conf is very quick on my fresh install trying to start the slurmdbd through systemctl take 3 minutes and then crashes and fail Is there an alternative to systemctl to start the slurmdbd in the background ? But most importantly I wanted to know why it takes so long through systemctl. Maybe I can increase the timeout limit ? On Thu, May 30, 2024 at 11:54 PM Ryan Novosielski <novosirj(a)rutgers.edu> wrote: > It may take longer to start than systemd allows for. How long does it take > to start from the command line? It’s common to need to run it manually for > upgrades to complete. > > -- > #BlackLivesMatter > ____ > || \\UTGERS, |---------------------------*O*--------------------------- > ||_// the State | Ryan Novosielski - novosirj(a)rutgers.edu > || \\ University | Sr. Technologist - 973/972.0922 (2x0922) ~*~ RBHS Campus > || \\ of NJ | Office of Advanced Research Computing - MSB > A555B, Newark > `' > > On May 30, 2024, at 20:24, Radhouane Aniba via slurm-users < > slurm-users(a)lists.schedmd.com> wrote: > > Ok I made some progress here. > > I removed and purged slurmdbd mysql mariadb etc .. and started from > scratch. > I added the recommended mysqld requirements > > Started slurmdbd manually : sudo slurmdbd -D /path/to/conf and everything > worked well > > When I tried to start the service sudo systemctl start slurmdbd.service > it didnt work > > sudo systemctl status slurmdbd.service > ● slurmdbd.service - Slurm DBD accounting daemon > Loaded: loaded (/etc/systemd/system/slurmdbd.service; enabled; vendor > preset: enabled) > Active: failed (Result: timeout) since Fri 2024-05-31 00:21:30 UTC; > 2min 5s ago > Process: 6258 ExecStart=/usr/sbin/slurmdbd -D > /etc/slurm-llnl/slurmdbd.conf (code=exited, status=0/SUCCESS) > > May 31 00:20:00 hannibal-hn systemd[1]: Starting Slurm DBD accounting > daemon... > May 31 00:21:30 hannibal-hn systemd[1]: slurmdbd.service: start operation > timed out. Terminating. > May 31 00:21:30 hannibal-hn systemd[1]: slurmdbd.service: Failed with > result 'timeout'. > May 31 00:21:30 hannibal-hn systemd[1]: Failed to start Slurm DBD > accounting daemon. > > Even though it is the same command ?! > > Any idea ? > > > On Thu, May 30, 2024 at 5:02 PM Radhouane Aniba <aradwen(a)gmail.com> wrote: > >> Thank you Ahmet and Brian, >> >> Ahmet, which conf in particular slurmdbd is readiugn from, I parsed all >> the cnf files for mysql and I cannot find the data it is displaying here >> >> slurmdbd: debug2: Attempting to connect to localhost:3306 >> slurmdbd: debug2: innodb_buffer_pool_size: 134217728 >> slurmdbd: debug2: innodb_log_file_size: 50331648 >> slurmdbd: debug2: innodb_lock_wait_timeout: 50 >> slurmdbd: error: Database settings not recommended values: >> innodb_buffer_pool_size innodb_lock_wait_timeout >> >> >> sudo tree /etc/mysql/* >> /etc/mysql/conf.d >> ├── mysql.cnf >> └── mysqldump.cnf >> /etc/mysql/debian.cnf >> /etc/mysql/debian-start >> /etc/mysql/FROZEN >> /etc/mysql/mariadb.cnf >> /etc/mysql/mariadb.conf.d >> ├── 50-client.cnf >> ├── 50-mysql-clients.cnf >> ├── 50-mysqld_safe.cnf >> └── 50-server.cnf >> /etc/mysql/my.cnf >> /etc/mysql/my.cnf.fallback >> /etc/mysql/mysql.cnf >> /etc/mysql/mysql.conf.d >> ├── mysql.cnf >> └── mysqld.cnf >> >> On Thu, May 30, 2024 at 12:21 PM Brian Andrus via slurm-users < >> slurm-users(a)lists.schedmd.com> wrote: >> >>> That SIGTERM message means something is telling slurmdbd to quit. >>> >>> Check your cron jobs, maintenance scripts, etc. Slurmdbd is being told >>> to shutdown. If you are running in the foreground, a ^C does that. If you >>> run a kill or killall on it, you will get that same message. >>> >>> Brian Andrus >>> On 5/30/2024 6:53 AM, Radhouane Aniba via slurm-users wrote: >>> >>> Yes I can connect to my database using mysql --user=slurm >>> --password=slurmdbpass slurm_acct_db and there is no firewall blocking >>> mysql after checking the firewall question >>> >>> ALso here is the output of slurmdbd -D -vvv (note I can only run this as >>> sudo ) >>> >>> sudo slurmdbd -D -vvv >>> slurmdbd: debug: Log file re-opened >>> slurmdbd: debug: Munge authentication plugin loaded >>> slurmdbd: debug2: mysql_connect() called for db slurm_acct_db >>> slurmdbd: debug2: Attempting to connect to localhost:3306 >>> slurmdbd: debug2: innodb_buffer_pool_size: 134217728 >>> slurmdbd: debug2: innodb_log_file_size: 50331648 >>> slurmdbd: debug2: innodb_lock_wait_timeout: 50 >>> slurmdbd: error: Database settings not recommended values: >>> innodb_buffer_pool_size innodb_lock_wait_timeout >>> slurmdbd: Accounting storage MYSQL plugin loaded >>> slurmdbd: debug2: ArchiveDir = /tmp >>> slurmdbd: debug2: ArchiveScript = (null) >>> slurmdbd: debug2: AuthAltTypes = (null) >>> slurmdbd: debug2: AuthInfo = (null) >>> slurmdbd: debug2: AuthType = auth/munge >>> slurmdbd: debug2: CommitDelay = 0 >>> slurmdbd: debug2: DbdAddr = localhost >>> slurmdbd: debug2: DbdBackupHost = (null) >>> slurmdbd: debug2: DbdHost = hannibal-hn >>> slurmdbd: debug2: DbdPort = 7032 >>> slurmdbd: debug2: DebugFlags = (null) >>> slurmdbd: debug2: DebugLevel = 6 >>> slurmdbd: debug2: DebugLevelSyslog = 10 >>> slurmdbd: debug2: DefaultQOS = (null) >>> slurmdbd: debug2: LogFile = /var/log/slurmdbd.log >>> slurmdbd: debug2: MessageTimeout = 100 >>> slurmdbd: debug2: Parameters = (null) >>> slurmdbd: debug2: PidFile = /run/slurmdbd.pid >>> slurmdbd: debug2: PluginDir = /usr/lib/x86_64-linux-gnu/slurm-wlm >>> slurmdbd: debug2: PrivateData = none >>> slurmdbd: debug2: PurgeEventAfter = 1 months* >>> slurmdbd: debug2: PurgeJobAfter = 12 months* >>> slurmdbd: debug2: PurgeResvAfter = 1 months* >>> slurmdbd: debug2: PurgeStepAfter = 1 months >>> slurmdbd: debug2: PurgeSuspendAfter = 1 months >>> slurmdbd: debug2: PurgeTXNAfter = 12 months >>> slurmdbd: debug2: PurgeUsageAfter = 24 months >>> slurmdbd: debug2: SlurmUser = root(0) >>> slurmdbd: debug2: StorageBackupHost = (null) >>> slurmdbd: debug2: StorageHost = localhost >>> slurmdbd: debug2: StorageLoc = slurm_acct_db >>> slurmdbd: debug2: StoragePort = 3306 >>> slurmdbd: debug2: StorageType = accounting_storage/mysql >>> slurmdbd: debug2: StorageUser = slurm >>> slurmdbd: debug2: TCPTimeout = 2 >>> slurmdbd: debug2: TrackWCKey = 0 >>> slurmdbd: debug2: TrackSlurmctldDown= 0 >>> slurmdbd: debug2: acct_storage_p_get_connection: request new connection >>> 1 >>> slurmdbd: debug2: Attempting to connect to localhost:3306 >>> slurmdbd: slurmdbd version 19.05.5 started >>> slurmdbd: debug2: running rollup at Thu May 30 13:50:08 2024 >>> slurmdbd: debug2: Everything rolled up >>> >>> >>> It goes like this for some time and then it crashes with this message >>> >>> slurmdbd: Terminate signal (SIGINT or SIGTERM) received >>> slurmdbd: debug: rpc_mgr shutting down >>> >>> >>> On Thu, May 30, 2024 at 8:18 AM mercan <ahmet.mercan(a)uhem.itu.edu.tr> >>> wrote: >>> >>>> Did you try to connect database using mysql command? >>>> >>>> mysql --user=slurm --password=slurmdbpass slurm_acct_db >>>> >>>> C. Ahmet Mercan >>>> >>>> On 30.05.2024 14:48, Radhouane Aniba via slurm-users wrote: >>>> >>>> Thank you Ahmet, >>>> I dont have a firewall active. >>>> And because slurmdbd cannot connect to the database I am not able to >>>> getting it to be activated through systemctl I will share the output for >>>> slurmdbd -D -vvv shortly but overall it is always saying trying to connect >>>> to the db and then retries a couple of times and crashes >>>> >>>> R. >>>> >>>> >>>> >>>> >>>> On Thu, May 30, 2024 at 2:51 AM mercan <ahmet.mercan(a)uhem.itu.edu.tr> >>>> wrote: >>>> >>>>> Hi; >>>>> >>>>> Did you check can you connect db with your conf parameters from >>>>> head-node: >>>>> >>>>> mysql --user=slurm --password=slurmdbpass slurm_acct_db >>>>> >>>>> Also, check and stop firewall and selinux, if they are running. >>>>> >>>>> Last, you can stop slurmdbd, then run run terminal with: >>>>> >>>>> slurmdbd -D -vvv >>>>> >>>>> Regards; >>>>> >>>>> C. Ahmet Mercan >>>>> >>>>> On 30.05.2024 00:05, Radhouane Aniba via slurm-users wrote: >>>>> >>>>> Hi everyone >>>>> I am trying to get slurmdbd to run on my local home server but I am >>>>> really struggling. >>>>> Note : am a novice slurm user >>>>> my slurmdbd always times out even though all the details in the conf >>>>> file are correct >>>>> >>>>> My log looks like this >>>>> >>>>> [2024-05-29T20:51:30.088] Accounting storage MYSQL plugin loaded >>>>> [2024-05-29T20:51:30.088] debug2: ArchiveDir = /tmp >>>>> [2024-05-29T20:51:30.088] debug2: ArchiveScript = (null) >>>>> [2024-05-29T20:51:30.088] debug2: AuthAltTypes = (null) >>>>> [2024-05-29T20:51:30.088] debug2: AuthInfo = (null) >>>>> [2024-05-29T20:51:30.088] debug2: AuthType = auth/munge >>>>> [2024-05-29T20:51:30.088] debug2: CommitDelay = 0 >>>>> [2024-05-29T20:51:30.088] debug2: DbdAddr = localhost >>>>> [2024-05-29T20:51:30.088] debug2: DbdBackupHost = (null) >>>>> [2024-05-29T20:51:30.088] debug2: DbdHost = head-node >>>>> [2024-05-29T20:51:30.088] debug2: DbdPort = 7032 >>>>> [2024-05-29T20:51:30.088] debug2: DebugFlags = (null) >>>>> [2024-05-29T20:51:30.088] debug2: DebugLevel = 6 >>>>> [2024-05-29T20:51:30.088] debug2: DebugLevelSyslog = 10 >>>>> [2024-05-29T20:51:30.088] debug2: DefaultQOS = (null) >>>>> [2024-05-29T20:51:30.088] debug2: LogFile = /var/log/slurmdbd.log >>>>> [2024-05-29T20:51:30.088] debug2: MessageTimeout = 100 >>>>> [2024-05-29T20:51:30.088] debug2: Parameters = (null) >>>>> [2024-05-29T20:51:30.088] debug2: PidFile = /run/slurmdbd.pid >>>>> [2024-05-29T20:51:30.088] debug2: PluginDir = >>>>> /usr/lib/x86_64-linux-gnu/slurm-wlm >>>>> [2024-05-29T20:51:30.088] debug2: PrivateData = none >>>>> [2024-05-29T20:51:30.088] debug2: PurgeEventAfter = 1 months* >>>>> [2024-05-29T20:51:30.088] debug2: PurgeJobAfter = 12 months* >>>>> [2024-05-29T20:51:30.088] debug2: PurgeResvAfter = 1 months* >>>>> [2024-05-29T20:51:30.088] debug2: PurgeStepAfter = 1 months >>>>> [2024-05-29T20:51:30.088] debug2: PurgeSuspendAfter = 1 months >>>>> [2024-05-29T20:51:30.088] debug2: PurgeTXNAfter = 12 months >>>>> [2024-05-29T20:51:30.088] debug2: PurgeUsageAfter = 24 months >>>>> [2024-05-29T20:51:30.088] debug2: SlurmUser = root(0) >>>>> [2024-05-29T20:51:30.089] debug2: StorageBackupHost = (null) >>>>> [2024-05-29T20:51:30.089] debug2: StorageHost = localhost >>>>> [2024-05-29T20:51:30.089] debug2: StorageLoc = slurm_acct_db >>>>> [2024-05-29T20:51:30.089] debug2: StoragePort = 3306 >>>>> [2024-05-29T20:51:30.089] debug2: StorageType = >>>>> accounting_storage/mysql >>>>> [2024-05-29T20:51:30.089] debug2: StorageUser = slurm >>>>> [2024-05-29T20:51:30.089] debug2: TCPTimeout = 2 >>>>> [2024-05-29T20:51:30.089] debug2: TrackWCKey = 0 >>>>> [2024-05-29T20:51:30.089] debug2: TrackSlurmctldDown= 0 >>>>> [2024-05-29T20:51:30.089] debug2: acct_storage_p_get_connection: >>>>> request new connection 1 >>>>> [2024-05-29T20:51:30.089] debug2: Attempting to connect to >>>>> localhost:3306 >>>>> [2024-05-29T20:51:30.090] slurmdbd version 19.05.5 started >>>>> [2024-05-29T20:51:30.090] debug2: running rollup at Wed May 29 >>>>> 20:51:30 2024 >>>>> [2024-05-29T20:51:30.091] debug2: Everything rolled up >>>>> [2024-05-29T20:51:49.673] Terminate signal (SIGINT or SIGTERM) >>>>> received >>>>> [2024-05-29T20:51:49.673] debug: rpc_mgr shutting down >>>>> >>>>> >>>>> >>>>> my config file looks like this >>>>> >>>>> ArchiveEvents=yes >>>>> ArchiveJobs=yes >>>>> ArchiveResvs=yes >>>>> ArchiveSteps=no >>>>> ArchiveSuspend=no >>>>> ArchiveTXN=no >>>>> ArchiveUsage=no >>>>> PurgeEventAfter=1month >>>>> PurgeJobAfter=12month >>>>> PurgeResvAfter=1month >>>>> PurgeStepAfter=1month >>>>> PurgeSuspendAfter=1month >>>>> PurgeTXNAfter=12month >>>>> PurgeUsageAfter=24month >>>>> # Authentication info >>>>> AuthType=auth/munge >>>>> # slurmDBD info >>>>> DbdAddr=localhost >>>>> DbdHost=head-node >>>>> DbdPort=7032 >>>>> SlurmUser=root >>>>> MessageTimeout=100 >>>>> DebugLevel=5 >>>>> #DefaultQOS=normal,standby >>>>> LogFile=/var/log/slurmdbd.log >>>>> PidFile=/run/slurmdbd.pid >>>>> #PrivateData=accounts,users,usage,jobs >>>>> #TrackWCKey=yes >>>>> # >>>>> # Database info >>>>> StorageType=accounting_storage/mysql >>>>> StorageHost=localhost >>>>> StoragePort=3306 >>>>> StoragePass=slurmdbpass >>>>> StorageUser=slurm >>>>> StorageLoc=slurm_acct_db >>>>> I used standard names and passwords to get started and I will change >>>>> later >>>>> >>>>> but everytime I try to start slurmdbd.service it crashes and I have >>>>> that log that I shared with you >>>>> >>>>> I use these versions >>>>> >>>>> slurmdbd -V >>>>> slurm-wlm 19.05.5 >>>>> mysql Ver 15.1 Distrib 10.3.39-MariaDB, for debian-linux-gnu (x86_64) >>>>> using readline 5.2 >>>>> Everything else Is working properly except I cannot get slurmdbd to >>>>> work and at this point I exhausted all my possible trials :) looking for >>>>> some expert insights :) >>>>> >>>>> >>>>> Any idea what I am doing wrong here ? Also I didn't compile any slurm >>>>> package. I used the binary from apt repos >>>>> >>>>> Any help will be appreciated >>>>> >>>>> Cheers >>>>> >>>>> Rad >>>>> >>>>> -- >>>>> >>>>> >>>>> >>>> >>> >>> -- >>> *Rad Aniba, PhD* >>> >>> >>> >>> -- >>> slurm-users mailing list -- slurm-users(a)lists.schedmd.com >>> To unsubscribe send an email to slurm-users-leave(a)lists.schedmd.com >>> >> >> >> -- >> *Rad Aniba, PhD* >> >> > > -- > *Rad Aniba, PhD* > > > -- > slurm-users mailing list -- slurm-users(a)lists.schedmd.com > To unsubscribe send an email to slurm-users-leave(a)lists.schedmd.com > > > -- *Rad Aniba, PhD*

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Slurm version 24.05.0 is now available
by Marshall Garey 30 May '24

30 May '24

We are pleased to announce the availability of Slurm 24.05.0. To highlight some new features in 24.05: - Isolated Job Step management. Enabled on a job-by-job basis with the --stepmgr option, or globally through SlurmctldParameters=enable_stepmgr. - Federation - Allow for client command operation while SlurmDBD is unavailable. - New MaxTRESRunMinsPerAccount and MaxTRESRunMinsPerUser QOS limits. - New USER_DELETE reservation flag. - New Flags=rebootless option on Features for node_features/helpers which indicates the given feature can be enabled without rebooting the node. - Cloud power management options: New "max_powered_nodes=<limit>" option in SlurmctldParamters, and new SuspendExcNodes=<nodes>:<count> syntax allowing for <count> nodes out of a given node list to be excluded. - StdIn/StdOut/StdErr now stored in SlurmDBD accounting records for batch jobs. - New switch/nvidia_imex plugin for IMEX channel management on NVIDIA systems. - New RestrictedCoresPerGPU option at the Node level, designed to ensure GPU workloads always have access to a certain number of CPUs even when nodes are running non-GPU workloads concurrently. The Slurm documentation has also been updated to the 24.05 release. (Older versions can be found in the archive, linked from the main documentation page.) Slurm can be downloaded from https://www.schedmd.com/downloads.php . -- Marshall Garey Release Management, Support, and Development SchedMD LLC - Commercial Slurm Development and Support

1 0

Executing srun -n X where X is greater than total CPU in entire cluster
by Dan Healy 30 May '24

30 May '24

Hi there, SLURM community, I swear I've done this before, but now it's failing on a new cluster I'm deploying. We have 6 compute nodes with 64 cpu each (384 CPU total). When I run `srun -n 500 hostname`, the task gets queued since there's not 500 available CPU. Wasn't there an option that allows for this to be run where the first 384 tasks execute, and then the remaining execute when resources free up? Here's my conf: # Slurm Cgroup Configs used on controllers and workersslurm_cgroup_config: CgroupAutomount: yes ConstrainCores: yes ConstrainRAMSpace: yes ConstrainSwapSpace: yes ConstrainDevices: yes# Slurm conf file settingsslurm_config: AccountingStorageType: "accounting_storage/slurmdbd" AccountingStorageEnforce: "limits" AuthAltTypes: "auth/jwt" ClusterName: "cluster" AccountingStorageHost : "{{ hostvars[groups['controller'][0]].ansible_hostname }}" DefMemPerCPU: 1024 InactiveLimit: 120 JobAcctGatherType: "jobacct_gather/cgroup" JobCompType: "jobcomp/none" MailProg: "/usr/bin/mail" MaxArraySize: 40000 MaxJobCount: 100000 MinJobAge: 3600 ProctrackType: "proctrack/cgroup" ReturnToService: 2 SelectType: "select/cons_tres" SelectTypeParameters: "CR_Core_Memory" SlurmctldTimeout: 30 SlurmctldLogFile: "/var/log/slurm/slurmctld.log" SlurmdLogFile: "/var/log/slurm/slurmd.log" SlurmdSpoolDir: "/var/spool/slurm/d" SlurmUser: "{{ slurm_user.name }}" SrunPortRange: "60000-61000" StateSaveLocation: "/var/spool/slurm/ctld" TaskPlugin: "task/affinity,task/cgroup" UnkillableStepTimeout: 120 -- Thanks, Daniel Healy

2 2

Jobs showing running but not running
by Sushil Mishra 29 May '24

29 May '24

Hi All, I'm managing a cluster with Slurm, consisting of 4 nodes. One of the compute nodes appears to be experiencing issues. While the front node's 'squeue' command indicates that jobs are running, upon connecting to the problematic node, I observe no active processes and GPUs are not being utilized. [sushil@ccbrc ~]$ sinfo -Nel Wed May 29 12:00:08 2024 NODELIST NODES PARTITION STATE CPUS S:C:T MEMORY TMP_DISK WEIGHT AVAIL_FE REASON gag 1 defq* mixed 48 2:24:1 370000 0 1 (null) none gag 1 glycore mixed 48 2:24:1 370000 0 1 (null) none glyco1 1 defq* completing* 128 2:64:1 500000 0 1 (null) none glyco1 1 glycore completing* 128 2:64:1 500000 0 1 (null) none glyco2 1 defq* mixed 128 2:64:1 500000 0 1 (null) none glyco2 1 glycore mixed 128 2:64:1 500000 0 1 (null) none mannose 1 defq* mixed 24 2:12:1 180000 0 1 (null) none mannose 1 glycore mixed 24 2:12:1 180000 0 1 (null) none On glyco1 (affected node!): squeue # gets stuck sudo systemctl restart slurmd # gets stuck I tried the following to clear the jobs stuck in CG state, but any new job appears to be stuck in a 'running' state without actually running. scontrol update nodename=glyco1 state=down reason=cg scontrol update nodename=glyco1 state=resume reason=cg There is no I/O issue in that node, and all file systems are under 30% in use. Any advice on how to resolve this without rebooting the machine? Best, Sushil

3 2

dynamical configuration || meta configuration mgmt
by Heckes, Frank 29 May '24

29 May '24

Hello all, I’m sorry if this has been asked and answered before, but I couldn’t find anything related. Does anyone know whether a framework of sorts exists that allow to change certain SLURM configuration parameters provided some conditions in the batch system’s state are detected and of course are revert if the state became the old one again? (To be more concrete: We like to raise or unset maxjobPU to run as much small jobs as possible to allocate all nodes as soon as certain threshold of free nodes are available and of course some other scenarios) Many thanks in advance. Cheers, -Frank Max-Planck-Institut für Sonnensystemforschung Justus-von-Liebig-Weg 3 D-37077 Göttingen Phone: [+49] 551 – 384 979 320 E-Mail: <mailto:heckes@mps.mpg.de> heckes(a)mps.mpg.de

2 1

Configuring sacct to report state=OUT_OF_MEMORY
by Lee 29 May '24

29 May '24

Hello, *Background :* I am working on a small cluster that is managed by Base Command Manager v10.0 using Slurm 23.02.7 with Ubuntu 22.04.2. I have a small testing script that simply consumes memory and processors. I run my test script, it consumes more memory than allocated by Slurm and as expected it gets killed by OOM killer. In /var/log/slurmd, I see entries like : [2024-05-29T08:53:04.975] Launching batch job 65 for UID 1001 [2024-05-29T08:53:05.016] [65.batch] task/cgroup: _memcg_initialize: job: alloc=10868MB mem.limit=10868MB memsw.limit=10868MB job_swappiness=1 [2024-05-29T08:53:05.016] [65.batch] task/cgroup: _memcg_initialize: step: alloc=10868MB mem.limit=10868MB memsw.limit=10868MB job_swappiness=1 [2024-05-29T08:53:19.530] [65.batch] task/cgroup: task_cgroup_memory_check_oom: StepId=65.batch hit memory+swap limit at least once during execution. This may or may not result in some failure. [2024-05-29T08:53:19.563] [65.batch] done with job Inspecting with sacct, I see : $ sacct -j 65 --format="jobid,jobname,state,exitcode" JobID JobName State ExitCode ------------ ---------- ---------- -------- 65 wrap FAILED 9:0 65.batch batch FAILED 9:0 Based on my previous experience with a RHEL based Slurm cluster, I would expect the state to be listed as OUT_OF_MEMORY and the exitcode to be 0:125. *Question : * 1. How do I configure [slurm,cgroup].conf such that when Slurm kills a job due to exceeding the allocated memory, sacct reports the state as OUT_OF_MEMORY? See below for my configuration : *Configuration:* /etc/default/grub : ~# grep -v "^#" /etc/default/grub GRUB_DEFAULT=0 GRUB_TIMEOUT_STYLE=hidden GRUB_TIMEOUT=10 GRUB_DISTRIBUTOR=`lsb_release -i -s 2> /dev/null || echo Debian` GRUB_CMDLINE_LINUX_DEFAULT="" GRUB_CMDLINE_LINUX="biosdevname=0 cgroup_enable=memory swapaccount=1" GRUB_GFXMODE="1024x768,800x600,auto" GRUB_BACKGROUND="/boot/grub/bcm.png" slurm.conf : ~# grep -v "^#" /cm/shared/apps/slurm/var/etc/bcm10-slurm/slurm.conf SlurmUser=slurm SlurmctldPort=6817 SlurmdPort=6818 AuthType=auth/munge SlurmdSpoolDir=/cm/local/apps/slurm/var/spool SwitchType=switch/none MpiDefault=pmix SlurmctldPidFile=/var/run/slurmctld.pid SlurmdPidFile=/var/run/slurmd.pid ProctrackType=proctrack/cgroup ReturnToService=2 TaskPlugin=task/cgroup InactiveLimit=0 KillWait=30 MinJobAge=300 SlurmctldTimeout=300 SlurmdTimeout=300 Waittime=0 SlurmctldDebug=info SlurmctldLogFile=/var/log/slurmctld SlurmdDebug=info SlurmdLogFile=/var/log/slurmd JobAcctGatherType=jobacct_gather/cgroup JobAcctGatherFrequency=30 AccountingStorageType=accounting_storage/slurmdbd AccountingStorageUser=slurm SlurmctldHost=bcm10-h01 AccountingStorageHost=master NodeName=bcm10-n[01,02] Procs=4 CoresPerSocket=4 RealMemory=15988 SocketsPerBoard=1 ThreadsPerCore=1 Boards=1 MemSpecLimit=5120 Feature=location=local PartitionName="defq" Default=YES MinNodes=1 DefaultTime=UNLIMITED MaxTime=UNLIMITED AllowGroups=ALL PriorityJobFactor=1 PriorityTier=1 OverSubscribe=NO PreemptMode=OFF AllowAccounts=ALL AllowQos=ALL Nodes=bcm10-n[01,02] ClusterName=bcm10-slurm SchedulerType=sched/backfill StateSaveLocation=/cm/shared/apps/slurm/var/cm/statesave/bcm10-slurm PrologFlags=Alloc GresTypes=gpu Prolog=/cm/local/apps/cmd/scripts/prolog Epilog=/cm/local/apps/cmd/scripts/epilog SelectType=select/cons_tres SelectTypeParameters=CR_Core_Memory cgroup.conf ~# grep -v "^#" /cm/shared/apps/slurm/var/etc/bcm10-slurm/cgroup.conf CgroupMountpoint="/sys/fs/cgroup" CgroupAutomount=no ConstrainCores=yes ConstrainRAMSpace=yes ConstrainSwapSpace=yes ConstrainDevices=yes AllowedRamSpace=100.00 AllowedSwapSpace=0.00 MemorySwappiness=1 MaxRAMPercent=100.00 MaxSwapPercent=100.00 MinRAMSpace=30 Best regards, Lee

1 0

sbatch problem
by Mihai Ciubancan 29 May '24

29 May '24

Hello, My name is Mihai and a have an issue with a small GPU cluster manage with slurm 22.05.11. I got 2 different output when I'm trying to find out the name of the nodes(one correct and one wrong). The script is: #!/bin/bash #SBATCH --job-name=test #SBATCH --output=/data/mihai/res.txt #SBATCH --partition=eli #SBATCH --nodes=2 srun echo Running on host: $(hostname) srun hostname srun sleep 15 And the output look like this: cat res.txt Running on host: mihai-x8640 Running on host: mihai-x8640 mihaigpu2 mihai-x8640 As you can see the output of the command 'srun echo Running on host: $(hostname)' is the same, as the jobs was running twice on the same node, while command 'srun hostname' it's giving me the correct output. Do you have any idea why the outputs of the 2 commands are different? Thank you, Mihai

2 6

slurm_bufs_sendto failed
by shaobo liu 28 May '24

28 May '24

slurm 23.11.0 , the slurmd error is as follows，what is the reason for this? [2024-05-29T09:21:32.450] task/affinity: task_p_slurmd_batch_request: task_p_slurmd_batch_request: 32259 [2024-05-29T09:21:32.451] task/affinity: batch_bind: job 32259 CPU input mask for node: 0xFFFFFFFFFFFFFFFF [2024-05-29T09:21:32.451] task/affinity: batch_bind: job 32259 CPU final HW mask for node: 0xFFFFFFFFFFFFFFFF [2024-05-29T09:21:32.451] Launching batch job 32259 for UID 66003 [2024-05-29T09:21:32.868] launch task StepId=32259.0 request from UID:66003 GID:66003 HOST:192.168.87.45 PORT:31104 [2024-05-29T09:21:32.868] task/affinity: lllp_distribution: JobId=32259 implicit auto binding: cores,one_thread, dist 2 [2024-05-29T09:21:32.868] task/affinity: _task_layout_lllp_cyclic: _task_layout_lllp_cyclic [2024-05-29T09:21:32.868] task/affinity: _lllp_generate_cpu_bind: _lllp_generate_cpu_bind jobid [32259]: mask_cpu,one_thread, 0x0000000000000001,0x0000000100000000,0x0000000000000002,0x0000000200000000,0x0000000000000004,0x0000000400000000,0x0000000000000008,0x0000000800000000,0x0000000000000010,0x0000001000000000,0x0000000000000020,0x0000002000000000,0x0000000000000040,0x0000004000000000,0x0000000000000080,0x0000008000000000,0x0000000000000100,0x0000010000000000,0x0000000000000200,0x0000020000000000,0x0000000000000400,0x0000040000000000,0x0000000000000800,0x0000080000000000,0x0000000000001000,0x0000100000000000,0x0000000000002000,0x0000200000000000,0x0000000000004000,0x0000400000000000,0x0000000000008000,0x0000800000000000,0x0000000000010000,0x0001000000000000,0x0000000000020000,0x0002000000000000,0x0000000000040000,0x0004000000000000,0x0000000000080000,0x0008000000000000,0x0000000000100000,0x0010000000000000,0x0000000000200000,0x0020000000000000,0x0000000000400000,0x0040000000000000,0x0000000000800000,0x0080000000000000,0x0000000001000000,0x0100000000000000,0x0000000002000000,0x0200000000000000,0x0000000004000000,0x0400000000000000,0x0000000008000000,0x0800000000000000,0x0000000010000000,0x1000000000000000,0x0000000020000000,0x2000000000000000,0x0000000040000000,0x4000000000000000,0x0000000080000000,0x8000000000000000 [2024-05-29T09:32:04.541] [32259.batch] done with step [2024-05-29T09:33:31.000] error: slurm_send_node_msg: [socket:[7270627]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:34:02.000] error: slurm_send_node_msg: [socket:[7270629]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:34:03.016] [32259.extern] done with step [2024-05-29T09:34:41.000] error: slurm_send_node_msg: [socket:[7270635]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:35:13.000] error: slurm_send_node_msg: [socket:[7270637]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:35:52.000] error: slurm_send_node_msg: [socket:[7270639]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:36:01.000] error: slurm_send_node_msg: [socket:[7270630]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:36:24.000] error: slurm_send_node_msg: [socket:[7270641]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:37:03.000] error: slurm_send_node_msg: [socket:[7270644]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:37:31.000] [32259.0] error: *** STEP 32259.0 STEPD TERMINATED ON node045 AT 2024-05-29T09:37:30 DUE TO JOB NOT RUNNING *** [2024-05-29T09:37:33.000] [32259.0] stepd_cleanup: done with step (rc[0x0]:No error, cleanup_rc[0xfbb]:Job step not running) [2024-05-29T09:37:35.000] error: slurm_send_node_msg: [socket:[7270646]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:38:14.000] error: slurm_send_node_msg: [socket:[7270649]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:38:46.000] error: slurm_send_node_msg: [socket:[7270651]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error [2024-05-29T09:39:25.000] error: slurm_send_node_msg: [socket:[7270657]] slurm_bufs_sendto(msg_type=RESPONSE_SLURM_RC) failed: Unexpected missing socket error

1 0

Final Call for SLUG Presenters & Early Bird Registration!
by Victoria Hobson 28 May '24

28 May '24

Slurm User Group (SLUG) 2024 is set for September 12-13 at the University of Oslo in Oslo, Norway. Registration information and a high-level schedule can be found here:https://slug24.splashthat.com/ The last day to register at the early bird pricing is this Friday, May 31st. Friday is also the deadline to submit a presentation abstract. We do not intend to extend this deadline. If you are interested in presenting your own usage, developments, site report, tutorial, etc about Slurm, please fill out the following form:https://forms.gle/N7bFo5EzwuTuKkBN7 Notifications of final presentations accepted will go out by Friday, June 14th. -- Victoria Hobson SchedMD LLC Vice President of Marketing

1 0

slurmdbd archive format
by O'Neal, Doug (NIH/NCI) [C] 28 May '24

28 May '24

My organization needs to access historic job information records for metric reporting and resource forecasting. slurmdbd is archiving only the job information, which should be sufficient for our numbers, but is using the default archive script. In retrospect, this data should have been migrated to a secondary MariaDB instance, but that train has passed. The format of the archive files is not well documented. Does anyone have a program (python/C/whatever) that will read a job_table_archive file and decode it into a parsable structure? Douglas O'Neal, Ph.D. (contractor) Manager, HPC Systems Administration Group, ITOG Frederick National Laboratory for Cancer Research Leidos Biomedical Research, Inc. Phone: 301-228-4656 Email: Douglas.O'Neal(a)nih.gov<mailto:Doug%20O'Neal%20%3cDouglas.O'Neal(a)nih.gov%3e>

2 2

Fwd: Re: Performance Discrepancy between Slurm and Direct mpirun for VASP Jobs.
by Hongyi Zhao 28 May '24

28 May '24

---------- Forwarded message --------- From: Hermann Schwärzler <hermann.schwaerzler(a)uibk.ac.at> Date: Tue, May 28, 2024 at 4:10 PM Subject: Re: [slurm-users] Re: Performance Discrepancy between Slurm and Direct mpirun for VASP Jobs. To: Hongyi Zhao <hongyi.zhao(a)gmail.com> Hi Zhao, On 5/28/24 03:08, Hongyi Zhao wrote: [...] > > What's the complete content of cli_filter.lua and where should I put this file? [...] Below you find the complete content of our cli_filter.lua. It has to be put into the same directory as "slurm.conf". --------------------------------- 8< --------------------------------- -- see https://github.com/SchedMD/slurm/blob/master/etc/cli_filter.lua.example function slurm_cli_pre_submit(options, pack_offset) return slurm.SUCCESS end function slurm_cli_setup_defaults(options, early_pass) -- Make --hint=nomultithread the default behavior -- if users specify an other --hint=XX option then -- it will override the setting done here options['hint'] = 'nomultithread' return slurm.SUCCESS end function slurm_cli_post_submit(offset, job_id, step_id) return slurm.SUCCESS end --------------------------------- >8 --------------------------------- Hopefully this helps... Regards, Hermann -- Assoc. Prof. Hongsheng Zhao <hongyi.zhao(a)gmail.com> Theory and Simulation of Materials Hebei Vocational University of Technology and Engineering No. 473, Quannan West Street, Xindu District, Xingtai, Hebei province

1 0

Performance Discrepancy between Slurm and Direct mpirun for VASP Jobs.
by Hongyi Zhao 27 May '24

27 May '24

Dear Slurm Users, I am experiencing a significant performance discrepancy when running the same VASP job through the Slurm scheduler compared to running it directly with mpirun. I am hoping for some insights or advice on how to resolve this issue. System Information: Slurm Version: 21.08.5 OS: Ubuntu 22.04.4 LTS (Jammy) Job Submission Script: #!/usr/bin/env bash #SBATCH -N 1 #SBATCH -D . #SBATCH --output=%j.out #SBATCH --error=%j.err ##SBATCH --time=2-00:00:00 #SBATCH --ntasks=36 #SBATCH --mem=64G echo '#######################################################' echo "date = $(date)" echo "hostname = $(hostname -s)" echo "pwd = $(pwd)" echo "sbatch = $(which sbatch | xargs realpath -e)" echo "" echo "WORK_DIR = $WORK_DIR" echo "SLURM_SUBMIT_DIR = $SLURM_SUBMIT_DIR" echo "SLURM_JOB_NUM_NODES = $SLURM_JOB_NUM_NODES" echo "SLURM_NTASKS = $SLURM_NTASKS" echo "SLURM_NTASKS_PER_NODE = $SLURM_NTASKS_PER_NODE" echo "SLURM_CPUS_PER_TASK = $SLURM_CPUS_PER_TASK" echo "SLURM_JOBID = $SLURM_JOBID" echo "SLURM_JOB_NODELIST = $SLURM_JOB_NODELIST" echo "SLURM_NNODES = $SLURM_NNODES" echo "SLURMTMPDIR = $SLURMTMPDIR" echo '#######################################################' echo "" module purge > /dev/null 2>&1 module load vasp ulimit -s unlimited mpirun vasp_std Performance Observation: When running the job through Slurm: werner@x13dai-t:~/Public/hpc/servers/benchmark/Cr72_3x3x3K_350eV_10DAV$ grep LOOP OUTCAR LOOP: cpu time 14.4893: real time 14.5049 LOOP: cpu time 14.3538: real time 14.3621 LOOP: cpu time 14.3870: real time 14.3568 LOOP: cpu time 15.9722: real time 15.9018 LOOP: cpu time 16.4527: real time 16.4370 LOOP: cpu time 16.7918: real time 16.7781 LOOP: cpu time 16.9797: real time 16.9961 LOOP: cpu time 15.9762: real time 16.0124 LOOP: cpu time 16.8835: real time 16.9008 LOOP: cpu time 15.2828: real time 15.2921 LOOP+: cpu time 176.0917: real time 176.0755 When running the job directly with mpirun: werner@x13dai-t:~/Public/hpc/servers/benchmark/Cr72_3x3x3K_350eV_10DAV$ mpirun -n 36 vasp_std werner@x13dai-t:~/Public/hpc/servers/benchmark/Cr72_3x3x3K_350eV_10DAV$ grep LOOP OUTCAR LOOP: cpu time 9.0072: real time 9.0074 LOOP: cpu time 9.0515: real time 9.0524 LOOP: cpu time 9.1896: real time 9.1907 LOOP: cpu time 10.1467: real time 10.1479 LOOP: cpu time 10.2691: real time 10.2705 LOOP: cpu time 10.4330: real time 10.4340 LOOP: cpu time 10.9049: real time 10.9055 LOOP: cpu time 9.9718: real time 9.9714 LOOP: cpu time 10.4511: real time 10.4470 LOOP: cpu time 9.4621: real time 9.4584 LOOP+: cpu time 110.0790: real time 110.0739 Could you provide any insights or suggestions on what might be causing this performance issue? Are there any specific configurations or settings in Slurm that I should check or adjust to align the performance more closely with the direct mpirun execution? Thank you for your time and assistance. Best regards, Zhao -- Assoc. Prof. Hongsheng Zhao <hongyi.zhao(a)gmail.com> Theory and Simulation of Materials Hebei Vocational University of Technology and Engineering No. 473, Quannan West Street, Xindu District, Xingtai, Hebei province

4 10

Building Slurm debian package vs building from source
by Arnuld 23 May '24

23 May '24

We have several nodes, most of which have different Linux distributions (distro for short). Controller has a different distro as well. The only common thing between controller and all the does is that all of them ar x86_64. I can install Slurm using package manager on all the machines but this will not work because controller will have a different version of Slurm compared to the nodes (21.08 vs 23.11) If I build from source then I see two solutions: - build a deb package - build a custom package (./configure, make, make install) Building a debian package on the controller and then distributing the binaries on nodes won't work either because that binary will start looking for the shared libraries that it was built for and those don't exist on the nodes. So the only solution I have is to build a static binary using a custom package. Am I correct or is there another solution here?

4 7

Slurm Build Error
by Arnuld 23 May '24

23 May '24

Getting this error when I run "make install": echo >>"lib_ref.lo" /bin/bash ../../libtool --tag=CC --mode=link gcc -DNUMA_VERSION1_COMPATIBILITY -g -O2 -fno-omit-frame-pointer -pthread -ggdb3 -Wall -g -O1 -fno-strict-aliasing -o lib_ref.la lib_ref.lo -lpthread -lm -lresolv libtool: link: ar cr .libs/lib_ref.a libtool: link: ranlib .libs/lib_ref.a libtool: link: ( cd ".libs" && rm -f "lib_ref.la" && ln -s "../lib_ref.la" " lib_ref.la" ) /bin/bash ../../libtool --tag=CC --mode=link gcc -DNUMA_VERSION1_COMPATIBILITY -g -O2 -fno-omit-frame-pointer -pthread -ggdb3 -Wall -g -O1 -fno-strict-aliasing -export-dynamic -o sacctmgr account_functions.o archive_functions.o association_functions.o config_functions.o cluster_functions.o common.o event_functions.o federation_functions.o file_functions.o instance_functions.o runaway_job_functions.o job_functions.o reservation_functions.o resource_functions.o sacctmgr.o qos_functions.o txn_functions.o user_functions.o wckey_functions.o problem_functions.o tres_function.o -Wl,-rpath=/root/slurm-slurm-23-11-7-1/z/lib/slurm -L../../src/api/.libs -lslurmfull -export-dynamic -lreadline -lhistory lib_ref.la -lpthread -lm -lresolv libtool: link: gcc -DNUMA_VERSION1_COMPATIBILITY -g -O2 -fno-omit-frame-pointer -pthread -ggdb3 -Wall -g -O1 -fno-strict-aliasing -o sacctmgr account_functions.o archive_functions.o association_functions.o config_functions.o cluster_functions.o common.o event_functions.o federation_functions.o file_functions.o instance_functions.o runaway_job_functions.o job_functions.o reservation_functions.o resource_functions.o sacctmgr.o qos_functions.o txn_functions.o user_functions.o wckey_functions.o problem_functions.o tres_function.o -Wl,-rpath=/root/slurm-slurm-23-11-7-1/z/lib/slurm -Wl,--export-dynamic -L../../src/api/.libs /root/slurm-slurm-23-11-7-1/src/api/.libs/libslurmfull.a -lreadline -lhistory ./.libs/lib_ref.a -lpthread -lm -lresolv -pthread /usr/bin/ld: sacctmgr.o: warning: relocation against `_binary_usage_txt_end' in read-only section `.text' /usr/bin/ld: sacctmgr.o: in function `_usage': /root/slurm-slurm-23-11-7-1/src/sacctmgr/sacctmgr.c:926:(.text+0x1f): undefined reference to `_binary_usage_txt_start' /usr/bin/ld: /root/slurm-slurm-23-11-7-1/src/sacctmgr/sacctmgr.c:926:(.text+0x26): undefined reference to `_binary_usage_txt_end' /usr/bin/ld: warning: creating DT_TEXTREL in a PIE collect2: error: ld returned 1 exit status make[3]: *** [Makefile:672: sacctmgr] Error 1 make[3]: Leaving directory '/root/slurm-slurm-23-11-7-1/src/sacctmgr' make[2]: *** [Makefile:520: all-recursive] Error 1 make[2]: Leaving directory '/root/slurm-slurm-23-11-7-1/src' make[1]: *** [Makefile:621: all-recursive] Error 1 make[1]: Leaving directory '/root/slurm-slurm-23-11-7-1' make: *** [Makefile:520: all] Error 2 ----------------------------------------------------------------------------------------- I used these config options: ./configure --enable-debug --enable-pam --disable-sview --disable-shared --with-munge --with-json --with-yaml --with-http-parser --with-pmix --with-lz4 --with-hwloc --with-jwt --with-libcurl --with-freeipmi --with-rdkafka --with-bpf --prefix=/root/slurm-slurm-23-11-7-1/z

1 0

memory high water mark reporting
by Emyr James 22 May '24

22 May '24

Hi, We are trying out slurm having been running grid engine for a long while. In grid engine, the cgroups peak memory and max_rss are generated at the end of a job and recorded. It logs the information from the cgroup hierarchy as well as doing a getrusage call right at the end on the parent pid of the whole job "container" before cleaning up. With slurm it seems that the only way memory is recorded is by the acct gather polling. I am trying to add something in an epilog script to get the memory.peak but It looks like the cgroup hierarchy has been destroyed by the time the epilog is run. Where in the code is the cgroup hierarchy cleared up ? Is there no way to add something in so that the accounting is updated during the job cleanup process so that peak memory usage can be accurately logged ? I can reduce the polling interval from 30s to 5s but don't know if this causes a lot of overhead and in any case this seems to not be a sensible way to get values that should just be determined right at the end by an event rather than using polling. Many thanks, Emyr

5 10

Slurm version 23.11.7 is now available
by Marshall Garey 21 May '24

21 May '24

We are pleased to announce the availability of Slurm version 23.11.7. The 23.11.7 release fixes a few potential crashes in slurmctld when using less common options on job submission, slurmrestd compatibility with auth/slurm, and some additional minor and moderate severity bugs. Slurm can be downloaded from https://www.schedmd.com/downloads.php . -Marshall > -- slurmrestd - Correct OpenAPI specification for > 'GET /slurm/v0.0.40/jobs/state' having response as null. > -- Allow running jobs on overlapping partitions if jobs don't specify -s. > -- Fix segfault when requesting a shared gres along with an exclusive > allocation. > -- Fix regression in 23.02 where afternotok and afterok dependencies were > rejected for federated jobs not running on the origin cluster of the > submitting job. > -- slurmctld - Disable job table locking while job state cache is active when > replying to `squeue --only-job-state` or `GET /slurm/v0.0.40/jobs/state`. > -- Fix sanity check when setting tres-per-task on the job allocation as well as > the step. > -- slurmrestd - Fix compatiblity with auth/slurm. > -- Fix issue where TRESRunMins gets off correct value if using > QOS UsageFactor != 1. > -- slurmrestd - Require `user` and `association_condition` fields to be > populated for requests to 'POST /slurmdb/v0.0.40/users_association'. > -- Avoid a slurmctld crash with extra_constraints enabled when a job requests > certain invalid --extra values. > -- `scancel --ctld` and `DELETE /slurm/v0.0/40/jobs` - Fix support for job > array expressions (e.g. 1_[3-5]). Also fix signaling a single pending array > task (e.g. 1_10), which previously signaled the whole array job instead. > -- Fix a possible slurmctld segfault when at some point we failed to create an > external launcher step. > -- Allow the slurmctld to open a connection to the slurmdbd if the first > attempt fails due to a protocol error. > -- mpi/cray_shasta - Fix launch for non-het-steps within a hetjob. > -- sacct - Fix "gpuutil" TRES usage output being incorrect when using --units. > -- Fix a rare deadlock on slurmctld shutdown or reconfigure. > -- Fix issue that only left one thread on each core available when "CPUs=" is > configured to total thread count on multi-threaded hardware and no other > topology info ("Sockets=", "CoresPerSocket", etc.) is configured. > -- Fix the external launcher step not being allocated a VNI when requested. > -- jobcomp/kafka - Fix payload length when producing and sending a message. > -- scrun - Avoid a crash if RunTimeDelete is called before the container > finishes. > -- Save the slurmd's cred_state while reconfiguring to prevent the loss job > credentials.

1 0

SLUG Call for Papers Deadline
by Victoria Hobson 21 May '24

21 May '24

Slurm User Group (SLUG) 2024 is set for September 12-13 at the University of Oslo in Oslo, Norway. Registration information and a high-level schedule can be found here:https://slug24.splashthat.com/ The deadline to submit a presentation abstract is Friday, May 31st. We do not intend to extend this deadline. If you are interested in presenting your own usage, developments, site report, tutorial, etc about Slurm, please fill out the following form:https://forms.gle/N7bFo5EzwuTuKkBN7 Notifications of final presentations accepted will go out by Friday, June 14th. -- Victoria Hobson SchedMD LLC Vice President of Marketing

1 0

Slurm not allocating correct cgroup cpu ids in srun step (possible bug)
by Ashley Wright 21 May '24

21 May '24

Hi, At our site we have recently upgraded to Slurm 23.11.5 and are having trouble with MPI jobs doing srun inside a sbatch'ed script. The cgroup does not appear to be setup correctly for the srun (step_0). As an example $ cat /sys/fs/cgroup/cpuset/slurm/uid_11000..../job..../cpuset.cpus 0,2-3,68-69,96,98-99,164-165 $ cat /sys/fs/cgroup/cpuset/slurm/uid_11000..../job..../step_0/cpuset.cpus 0,2,68,96,98,164 The sbatch is allocated a range of cpus in the cgroup. However, when step_0 is run, only some of those CPUs are in the group. I have noticed that it is always the range which is missing, ie 2-5 only 2 is included, 3,4,5 are missing. This also only happens if there are multiple groups of cpus in the allocations. ie only 1-12 would be fine, however 1-12,15-20 would result in 1,15 only. The sbatch also seems fine, with step_batch and step_extern being allocated correctly. This causes numerous issues with MPI jobs as they end up overloading cpus. We are running our nodes with threading enabled on the CPUs, and with cgroups and affinity plugins. I have attached our slurm.conf to show our settings. Our /etc/slurm/cgroup.conf is ConstrainCores=yes ConstrainDevices=yes ConstrainRAMSpace=yes ConstrainSwapSpace=yes We have turned on logging at debug2 level, but I haven't yet found anything useful. Happy for a suggestion on what to look for. Is anyone able to provide any advice on where to go next to try and identify the issue? Regards, Ashley Wright

1 0

Running slurm on alternate ports
by Alan Stange 20 May '24

20 May '24

Hello all, for testing purposes, we would like to run slurm on ports different from the default values. No problems in setting this up. But how does one tell srun/sbatch/etc what the different port numbers are? I see no command line options to specify a port or an alternate configuration file. Thank you, Alan

2 2

Invalid/incorrect gres.conf syntax
by Gestió Servidors 20 May '24

20 May '24

Hello, I have configured my "gres.conf" in this way: NodeName=node-gpu-1 AutoDetect=off Name=gpu Type=GeForceRTX2070 File=/dev/nvidia0 Cores=0-11 NodeName=node-gpu-1 AutoDetect=off Name=gpu Type=GeForceGTX1080Ti File=/dev/nvidia1 Cores=12-23 NodeName=node-gpu-2 AutoDetect=off Name=gpu Type=GeForceGTX1080Ti File=/dev/nvidia0 Cores=0-11 NodeName=node-gpu-2 AutoDetect=off Name=gpu Type=GeForceGTX1080 File=/dev/nvidia1 Cores=12-23 NodeName=node-gpu-3 AutoDetect=off Name=gpu Type=GeForceRTX3080 File=/dev/nvidia0 Cores=0-11 NodeName=node-gpu-4 AutoDetect=off Name=gpu Type=GeForceRTX3080 File=/dev/nvidia0 Cores=0-7 node-gpu-1 and node-gpu-2 are two systems with two sockets; node-gpu-3 and node-gpu-4 have only one socket. In my "slurm.conf" I have these lines: AccountingStorageTRES=gres/gpu SelectType=select/cons_tres GresTypes=gpu NodeName=node-gpu-1 CPUs=24 SocketsPerBoard=2 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=96000 TmpDisk=47000 Gres=gpu:GeForceRTX2070:1,gpu:GeForceGTX1080Ti:1 NodeName=node-gpu-2 CPUs=24 SocketsPerBoard=2 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=96000 TmpDisk=47000 Gres=gpu:GeForceGTX1080Ti:1,gpu:GeForceGTX1080:1 NodeName=node-gpu-3 CPUs=12 SocketsPerBoard=1 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=23000 Gres=gpu:GeForceRTX3080:1 NodeName=node-gpu-4 CPUs=8 SocketsPerBoard=1 CoresPerSocket=4 ThreadsPerCore=2 RealMemory=7800 Gres=gpu:GeForceRTX3080:1 However, slurmctld reports warning logs about "error syntax in Cores attribute" in gres.conf. Where is the syntax error? Thanks a lot!

1 0

Apply an specific QoS to all users that belongs to an specific account
by Gestió Servidors 20 May '24

20 May '24

Hi, I would like to know if it is possible to apply an specific QoS to all users that belongs to an specific account. For example, I have created some new users "user_XX" and, also, I have created their new accounts in SLURM with "sacctmgr create account name=Test" and "sacctmgr create user name=user_XX DefaultAccount=Test". After it, I have changed default QoS "normal" to a new QoS "minimal" (with some limits) to account "Test" (sacctmgr modify account where name=Test set qos=minimal), but what I have seen is that users "user_XX" that belongs to "Test" account continue in QoS "normal" (QoS by default), so it seems that users have not inherited QoS applied to their account. Is there any way to do this and am I doing something wrong? Thanks.

1 0

srun weirdness
by Dj Merrill 17 May '24

17 May '24

I'm running into a strange issue and I'm hoping another set of brains looking at this might help. I would appreciate any feedback. I have two Slurm Clusters. The first cluster is running Slurm 21.08.8 on Rocky Linux 8.9 machines. The second cluster is running Slurm 23.11.6 on Rocky Linux 9.4 machines. This works perfectly fine on the first cluster: $ srun --mem=32G --pty /bin/bash srun: job 93911 queued and waiting for resources srun: job 93911 has been allocated resources and on the resulting shell on the compute node: $ /mnt/local/ollama/ollama help and the ollama help message appears as expected. However, on the second cluster: $ srun --mem=32G --pty /bin/bash srun: job 3 queued and waiting for resources srun: job 3 has been allocated resources and on the resulting shell on the compute node: $ /mnt/local/ollama/ollama help fatal error: failed to reserve page summary memory runtime stack: runtime.throw({0x1240c66?, 0x154fa39a1008?}) runtime/panic.go:1023 +0x5c fp=0x7ffe6be32648 sp=0x7ffe6be32618 pc=0x4605dc runtime.(*pageAlloc).sysInit(0x127b47e8, 0xf8?) runtime/mpagealloc_64bit.go:81 +0x11c fp=0x7ffe6be326b8 sp=0x7ffe6be32648 pc=0x456b7c runtime.(*pageAlloc).init(0x127b47e8, 0x127b47e0, 0x128d88f8, 0x0) runtime/mpagealloc.go:320 +0x85 fp=0x7ffe6be326e8 sp=0x7ffe6be326b8 pc=0x454565 runtime.(*mheap).init(0x127b47e0) runtime/mheap.go:769 +0x165 fp=0x7ffe6be32720 sp=0x7ffe6be326e8 pc=0x451885 runtime.mallocinit() runtime/malloc.go:454 +0xd7 fp=0x7ffe6be32758 sp=0x7ffe6be32720 pc=0x434f97 runtime.schedinit() runtime/proc.go:785 +0xb7 fp=0x7ffe6be327d0 sp=0x7ffe6be32758 pc=0x464397 runtime.rt0_go() runtime/asm_amd64.s:349 +0x11c fp=0x7ffe6be327d8 sp=0x7ffe6be327d0 pc=0x49421c If I ssh directly to the same node on that second cluster (skipping Slurm entirely), and run the same "/mnt/local/ollama/ollama help" command, it works perfectly fine. My first thought was that it might be related to cgroups. I switched the second cluster from cgroups v2 to v1 and tried again, no difference. I tried disabling cgroups on the second cluster by removing all cgroups references in the slurm.conf file but that also made no difference. My guess is something changed with regards to srun between these two Slurm versions, but I'm not sure what. Any thoughts on what might be happening and/or a way to get this to work on the second cluster? Essentially I need a way to request an interactive shell through Slurm that is associated with the requested resources. Should we be using something other than srun for this? Thank you, -Dj

6 12

Slurm DB upgrade failure behavior
by Yuengling, Philip J. 17 May '24

17 May '24

Hi everyone, I'm writing up some Ansible code to manage Slurm software updates, and I haven't found any documentation about slurmdbd behavior if the mysql/mariadb database doesn't upgrade successfully. What I do know is that if it is sucessful I can expect to see "Conversion done: success!" in the slurmdbd log. This is good, but minor updates do not update the database as far as I know. If the Slurm database cannot upgrade upon an update, does it always shut down with a fatal error? What other behaviors should I look for if there is a failure? Cheers, Phil Y

2 1

Removing safely a node
by Ratnasamy, Fritz 17 May '24

17 May '24

Hi, What is the "official" process to remove nodes safely? I have drained the nodes so jobs are completed and put them in down state after they are completely drained. I edited the slurm.conf file to remove the nodes. After some time, I can see that the nodes were removed from the partition with the command sinfo However, I was told I might need to restart the service slurmctld, do you know if it is necessary? Should I also run scontrol reconfig? Best, *Fritz Ratnasamy* Data Scientist Information Technology

3 2

Best practice for jobs resuming from suspended state
by Paul Jones 16 May '24

16 May '24

Hi, We use PreemptMode and PriorityTier within Slurm to suspend low priority jobs when more urgent work needs to be done. This generally works well, but on occasion resumed jobs fail to restart - which is to say Slurm sets the job status to running but the actual code doesn't recover from being suspended. Technically everything is working as expected, but I wondered if there was any best practice to pass onto users about how to cope with this state? Obviously not a direct Slurm question, but wondered if others had experience with this and any advice on how best to limit the impact? Thanks, Paul --

2 1

Location of Slurm source packages?
by Jeffrey Layton 15 May '24

15 May '24

Good morning, I have an Ubuntu 22.04 server where I installed Slurm from the Ubuntu packages. I now want to install pyxis but it says I need the Slurm sources. In Ubuntu 22.04, is there a package that has the source code? How to download the sources I need from github? Thanks! Jeff

2 2

Re: Location of Slurm source packages?
by Lloyd Brown 15 May '24

15 May '24

Jeff, I'm not sure what version is in the Ubuntu packages, as I don't think they're provided by SchedMD, and I'm having trouble finding the right one on packages.ubuntu.com. Having said that, SchedMD is pretty good about using tags in their github repo (https://github.com/schedmd/slurm), to represent the releases. For example, the "slurm-23-11-6-1" tag corresponds to release 23.11.6. It's pretty straightforward to clone the repo, and do something like "git checkout -b MY_LOCAL_BRANCH_NAME TAG_NAME" to get the version you're after. Lloyd -- Lloyd Brown HPC Systems Administrator Office of Research Computing Brigham Young University http://rc.byu.edu On 5/15/24 08:35, Jeffrey Layton via slurm-users wrote: > Good morning, > > I have an Ubuntu 22.04 server where I installed Slurm from the Ubuntu > packages. I now want to install pyxis but it says I need the Slurm > sources. In Ubuntu 22.04, is there a package that has the source code? > How to download the sources I need from github? > > Thanks! > > Jeff

3 3

Re: Location of Slurm source packages?
by Lloyd Brown 15 May '24

15 May '24

Jeff, Dang. That's really old. I'm not sure I would run one that old, to be honest. Too many missing security fixes and added features. It's never been that hard to do a 'git clone' and the normal configure/make/make install process with slurm. Someone else made me aware of this, in case it's easier: https://slurm.schedmd.com/quickstart_admin.html#debuild Lloyd On 5/15/24 08:57, Jeffrey Layton wrote: > Lloyd, > > Good to hear from you! I was hoping to avoid the use of git but that > may be the only way. The version is 21.08.5. I checked the "old" > packages from SchedMD and they begin part way through 2024 so that > won't work. > > I'm very surprised Ubuntu let a package through without a source > package for it. I'm hoping I'm not seeing the tree through the forest > in finding that package. > > Thanks for the help! > > Jeff > > > On Wed, May 15, 2024 at 10:54 AM Lloyd Brown via slurm-users > <slurm-users(a)lists.schedmd.com> wrote: > > Jeff, > > I'm not sure what version is in the Ubuntu packages, as I don't > think they're provided by SchedMD, and I'm having trouble finding > the right one on packages.ubuntu.com > <http://packages.ubuntu.com>. Having said that, SchedMD is pretty > good about using tags in their github repo > (https://github.com/schedmd/slurm), to represent the releases. > For example, the "slurm-23-11-6-1" tag corresponds to release > 23.11.6. It's pretty straightforward to clone the repo, and do > something like "git checkout -b MY_LOCAL_BRANCH_NAME TAG_NAME" to > get the version you're after. > > > Lloyd > > -- > Lloyd Brown > HPC Systems Administrator > Office of Research Computing > Brigham Young University > http://rc.byu.edu > > On 5/15/24 08:35, Jeffrey Layton via slurm-users wrote: >> Good morning, >> >> I have an Ubuntu 22.04 server where I installed Slurm from the >> Ubuntu packages. I now want to install pyxis but it says I need >> the Slurm sources. In Ubuntu 22.04, is there a package that has >> the source code? How to download the sources I need from github? >> >> Thanks! >> >> Jeff > > > -- > slurm-users mailing list -- slurm-users(a)lists.schedmd.com > To unsubscribe send an email to slurm-users-leave(a)lists.schedmd.com > -- Lloyd Brown HPC Systems Administrator Office of Research Computing Brigham Young University http://rc.byu.edu

1 0

Job Invalid Account
by Joe Teumer 15 May '24

15 May '24

We installed slurm 23.11.5 and we are receiving "JobId=n has invalid account" for every sbatch job. We are not using the slurm accounting/user database; we are using uniform UIDs and GIDs across the cluster. The jobs run and complete; can these invalid account errors be ignored or silenced? Job Submission Environment: id joteumer uid=938401109(joteumer) gid=938400513(SPG) groups=938400513(SPG),27(sudo) Slurm Worker Node: id joteumer uid=938401109(joteumer) gid=938400513(SPG) groups=938400513(SPG),27(sudo) slurmctld log: [2024-04-18T09:46:40.000] sched: JobId=18 has invalid account scontrol show job 18 JobId=18 JobName=simplejob.sh UserId=joteumer(938401109) GroupId=SPG(938400513) MCS_label=N/A Priority=1 Nice=0 *Account=(null) *QOS=(null) Submit another sbatch job and update the job to include an Account scontrol update jobid=19 Account=joteumer [2024-04-18T09:56:05.126] _slurm_rpc_submit_batch_job: JobId=19 InitPrio=1 usec=485 [2024-04-18T09:56:06.000] sched: JobId=19 has invalid account [2024-04-18T09:56:17.000] debug: set_job_failed_assoc_qos_ptr: Filling in assoc for JobId=19 Assoc=0 [2024-04-18T09:56:17.000] sched: JobId=19 has invalid account [2024-04-18T09:56:17.588] debug: set_job_failed_assoc_qos_ptr: Filling in assoc for JobId=19 Assoc=0 [2024-04-18T09:56:27.505] _slurm_rpc_update_job: complete JobId=19 uid=0 usec=110 [2024-04-18T09:56:28.000] sched: JobId=19 has invalid account scontrol show job 19 JobId=19 JobName=simplejob.sh UserId=joteumer(938401109) GroupId=SPG(938400513) MCS_label=N/A Priority=1 Nice=0 Account=(null) QOS=(null) JOBID PARTITION NAME USER STATE TIME TIME_LIMI NODES NODELIST(REASON) 19 SPG simplejob joteumer PENDING 0:00 18:00:00 1 (InvalidAccount)

2 1

Slurm Cleaning Up $XDG_RUNTIME_DIR Before It Should?
by Arnuld 15 May '24

15 May '24

I am using the latest slurm. It runs fine for scripts. But if I give it a container then it kills it as soon as I submit the job. Is slurm cleaning up the $XDG_RUNTIME_DIR before it should? This is the log: [2024-05-15T08:00:35.143] [90.0] debug2: _generate_patterns: StepId=90.0 TaskId=-1 [2024-05-15T08:00:35.143] [90.0] debug3: _get_container_state: command argv[0]=/bin/sh [2024-05-15T08:00:35.143] [90.0] debug3: _get_container_state: command argv[1]=-c [2024-05-15T08:00:35.143] [90.0] debug3: _get_container_state: command argv[2]=crun --rootless=true --root=/run/user/1000/ state slurm2.acog.90.0.-1 [2024-05-15T08:00:35.167] [90.0] debug: _get_container_state: RunTimeQuery rc:256 output:error opening file `/run/user/1000/slurm2.acog.90.0.-1/status`: No such file or directory [2024-05-15T08:00:35.167] [90.0] error: _get_container_state: RunTimeQuery failed rc:256 output:error opening file `/run/user/1000/slurm2.acog.90.0.-1/status`: No such file or directory [2024-05-15T08:00:35.167] [90.0] debug: container already dead [2024-05-15T08:00:35.167] [90.0] debug3: _generate_spooldir: task:0 pattern:%m/oci-job%j-%s/task-%t/ path:/var/spool/slurmd/oci-job90-0/task-0/ [2024-05-15T08:00:35.167] [90.0] debug2: _generate_patterns: StepId=90.0 TaskId=0 [2024-05-15T08:00:35.168] [90.0] debug3: _generate_spooldir: task:-1 pattern:%m/oci-job%j-%s/ path:/var/spool/slurmd/oci-job90-0/ [2024-05-15T08:00:35.168] [90.0] stepd_cleanup: done with step (rc[0x100]:Unknown error 256, cleanup_rc[0x0]:No error) [2024-05-15T08:00:35.275] debug3: in the service_connection [2024-05-15T08:00:35.278] debug2: Start processing RPC: REQUEST_TERMINATE_JOB [2024-05-15T08:00:35.278] debug2: Processing RPC: REQUEST_TERMINATE_JOB [2024-05-15T08:00:35.278] debug: _rpc_terminate_job: uid = 64030 JobId=90 [2024-05-15T08:00:35.278] debug: credential for job 90 revoked

2 2

Slurm release candidate version 24.05.0rc1 available for testing
by Marshall Garey 14 May '24

14 May '24

We are pleased to announce the availability of Slurm release candidate 24.05.0rc1. To highlight some new features coming in 24.05: - (Optional) isolated Job Step management. Enabled on a job-by-job basis with the --stepmgr option, or globally through SlurmctldParameters=enable_stepmgr. - Federation - Allow for client command operation while SlurmDBD is unavailable. - New MaxTRESRunMinsPerAccount and MaxTRESRunMinsPerUser QOS limits. - New USER_DELETE reservation flag. - New Flags=rebootless option on Features for node_features/helpers which indicates the given feature can be enabled without rebooting the node. - Cloud power management options: New "max_powered_nodes=<limit>" option in SlurmctldParamters, and new SuspendExcNodes=<nodes>:<count> syntax allowing for <count> nodes out of a given node list to be excluded. - StdIn/StdOut/StdErr now stored in SlurmDBD accounting records for batch jobs. - New switch/nvidia_imex plugin for IMEX channel management on NVIDIA systems. - New RestrictedCoresPerGPU option at the Node level, designed to ensure GPU workloads always have access to a certain number of CPUs even when nodes are running non-GPU workloads concurrently. This is the first release candidate of the upcoming 24.05 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 24.05.x version and we will address them before the first production 24.05.0 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/downloads.php . -- Marshall Garey Release Management, Support, and Development SchedMD LLC - Commercial Slurm Development and Support

1 0

Submitting from an untrusted node
by Rike-Benjamin Schuppner 14 May '24

14 May '24

Hi, If I understand it correctly, the MUNGE and SACK authentication modules naturally require that no-one can get access to the key. This means that we should not use our normal workstations to which our users have physical access to run any jobs, nor could our users use the workstations to submit jobs to the compute nodes. They would have to ssh to a specific submit node and only then could they schedule their jobs. Is there an elegant way to enable job submission from any computer (possibly requiring that users type their password for the submit node – or to their ssh key – at some point)? (All computers/users use the same LDAP server for logins.) Best /rike

2 1

Which "oci.conf" to use?
by Arnuld 14 May '24

14 May '24

I have installed slurm and podman. I have replaced podman's default runtime as per the documentation to "slurm". Documentation says I need to choose one oci.conf: https://slurm.schedmd.com/containers.html#example Which one should I use? runc? crun? nvidia?

1 0

any way to allow interactive jobs or ssh in Slurm 23.02 when node is draining?
by Robert Kudyba 13 May '24

13 May '24

We use Bright Cluster Manager with SLurm 23.02 on RHEL9. I know about pam_slurm_adopt https://slurm.schedmd.com/pam_slurm_adopt.html which does not appear to come by default with the Bright 'cm' package of Slurm. Currently ssh to a node gets: Login not allowed: no running jobs and no WLM allocations We have 8 GPUs on a node so when we drain a node, which can have up to a 5 day job, no new jobs can run. And since we have 20+ TB (yes TB) local drives, researchers have their work and files on them to retrieve. Is there a way to use /etc/security/access.conf to work around this at least temporarily until the reboot and then we can revert? Thanks! Rob

2 2

Announcing Slurm-web v3.0.0, open source web dashboard for Slurm
by Rémi Palancher 13 May '24

13 May '24

Hello Slurm users, Some of you may find interest in the new major version of Slurm-web v3.0.0, an open source web dashboard for Slurm: https://slurm-web.com Slurm-web provides a reactive & responsive web interface to track jobs with intuitive insights and advanced visualizations to monitor status of HPC supercomputers in your organization. The software is released under GPLv3 [1]. This new version is based on official Slurm REST API slurmrestd and adopts modern web technologies to provide many features: - Instant jobs filtering and sorting - Live jobs status update - Advanced visualization of node status with racking topology - Intuitive visualization of QOS and advanced reservations - Multi-clusters support - LDAP authentication - Advanced RBAC permissions management - Transparent caching For the next releases, a roadmap is published with many features ideas [2]. Quick start guide to install: http://docs.rackslab.io/slurm-web/install/quickstart.html RPM and deb packages are published for easy installation and upgrade on all most popular Linux distributions. I hope you will like it! [1] https://github.com/rackslab/Slurm-web [2] https://slurm-web.com/roadmap/ -- Rémi Palancher Rackslab: Open Source Solutions for HPC Operations https://rackslab.io

1 0

srun launched mpi job occasionally core dumps
by Henderson, Brent 10 May '24

10 May '24

Greetings Slurm gurus -- I've been having an issue where very occasionally an srun launched OpenMPI job launched will die during startup within MPI_Init(). E.g. srun -N 8 --ntasks-per-node=1 ./hello_world_mpi. Same binary launched with mpirun does not experience the issue. E.g. mpirun -n 64 -H cn01,... ./hello_world_mpi. The failure rate seems to be in the 0.5% - 1.0% range when using srun for launch. SW stack is self-built with: * Dual socket AMD nodes * RHEL 9.3 base system + tools * Single 100 Gb card per host * hwloc 2.9.3 * pmix 4.2.9 (5.0.2 also tried but continued to see the same issues) * slurm 23.11.6 (started with 23.11.5 - update did not change the behavior) * openmpi 5.0.3 The MPI code is a simple hello_world_mpi.c - anything that goes through startup via srun - does not seem to matter. Application core dump looks like the following regardless of the test running: [cn04:1194785] *** Process received signal *** [cn04:1194785] Signal: Segmentation fault (11) [cn04:1194785] Signal code: Address not mapped (1) [cn04:1194785] Failing at address: 0xe0 [cn04:1194785] [ 0] /lib64/libc.so.6(+0x54db0)[0x7f54e6254db0] [cn04:1194785] [ 1] /share/openmpi/5.0.3/lib/libmpi.so.40(mca_pml_ob1_recv_frag_callback_match+0x7d)[0x7f54e67eab3d] [cn04:1194785] [ 2] /share/openmpi/5.0.3/lib/libopen-pal.so.80(+0xa7d8c)[0x7f54e6566d8c] [cn04:1194785] [ 3] /lib64/libevent_core-2.1.so.7(+0x21b88)[0x7f54e649cb88] [cn04:1194785] [ 4] /lib64/libevent_core-2.1.so.7(event_base_loop+0x577)[0x7f54e649e7a7] [cn04:1194785] [ 5] /share/openmpi/5.0.3/lib/libopen-pal.so.80(+0x222af)[0x7f54e64e12af] [cn04:1194785] [ 6] /share/openmpi/5.0.3/lib/libopen-pal.so.80(opal_progress+0x85)[0x7f54e64e1365] [cn04:1194785] [ 7] /share/openmpi/5.0.3/lib/libmpi.so.40(ompi_mpi_init+0x46d)[0x7f54e663ce7d] [cn04:1194785] [ 8] /share/openmpi/5.0.3/lib/libmpi.so.40(MPI_Init+0x5e)[0x7f54e66711ae] [cn04:1194785] [ 9] /home/brent/bin/ior-3.0.1/ior[0x403780] [cn04:1194785] [10] /lib64/libc.so.6(+0x3feb0)[0x7f54e623feb0] [cn04:1194785] [11] /lib64/libc.so.6(__libc_start_main+0x80)[0x7f54e623ff60] [cn04:1194785] [12] /home/brent/bin/ior-3.0.1/ior[0x4069d5] [cn04:1194785] *** End of error message *** More than one rank can die with the same stacktrace on a node when this happens - I've seen as many as 6. One other interesting note is that if I change my srun command line to include strace (e.g. srun -N 8 --ntasks-per-node=8 strace <strace-options> ./hello_world_mpi) the issue appears to go away. 0 failures in ~2500 runs. Another thing that seems to help is to disabling cgroups in the slurm.conf. After the change, saw 0 failures in >6100 hello_world_mpi runs. The changes in the slurm.conf were - original: ProctrackType=proctrack/cgroup TaskPlugin=task/cgroup,task/affinity JobAcctGatherType=jobacct_gather/cgroup Changed ProctrackType=proctrack/linuxproc TaskPlugin=task/affinity JobAcctGatherType=jobacct_gather/linux My cgroup.conf file contains: ConstrainCores=yes ConstrainDevices=yes ConstrainRAMSpace=yes ConstrainSwapSpace=yes AllowedRamSpace=95 Curious is anyone has any thoughts on next steps to help figure out what might be going on and how to resolve it. Currently, I'm planning to back down to the 23.02.7 release and see how that goes but open to other suggestions. Thanks, Brent

2 4

Issues with MIG after update to 23.11
by Cumer Cristiano 10 May '24

10 May '24

Dear list, after an update form 22.05 to 23.11 a host where I'm using MIG started to discard the mig devices during the NVML setuop. I can see those lines in the log: slurmd: error: Discarding the following config-only GPU due to lack of File specification: slurmd: error: GRES[gpu] Type:a100_3g.39gb Count:1 Cores(64):(null) Links:(null) Flags:HAS_TYPE,ENV_NVML,ENV_RSMI,ENV_ONEAPI,ENV_OPENCL,ENV_DEFAULT File:(null) UniqueId:(null) where the MIG devices are discarded during the start of the slurmd deamon. this is my gres.conf file cat /etc/slurm/gres.conf ################################################################## # Slurm's Generic Resource (GRES) configuration file ################################################################## AutoDetect=nvml and that still works for hosts on 22.05 Any idea of what is going on? I tried to disable MIG on the upgraded server, and then all the A100 are recognized without issues. Thanks Cristiano slurmd: debug: Log file re-opened slurmd: debug2: hwloc_topology_init slurmd: debug2: hwloc_topology_load slurmd: debug2: hwloc_topology_export_xml slurmd: debug: CPUs:64 Boards:1 Sockets:2 CoresPerSocket:32 ThreadsPerCore:1 slurmd: debug: cgroup/v1: init: Cgroup v1 plugin loaded slurmd: debug2: hwloc_topology_init slurmd: debug2: xcpuinfo_hwloc_topo_load: xml file (/var/lib/slurm/slurmd/hwloc_topo_whole.xml) found slurmd: debug: CPUs:64 Boards:1 Sockets:2 CoresPerSocket:32 ThreadsPerCore:1 slurmd: debug: gres/gpu: init: loaded slurmd: debug: gpu/nvml: init: init: GPU NVML plugin loaded slurmd: debug2: gpu/nvml: _nvml_init: Successfully initialized NVML slurmd: debug: gpu/nvml: _get_system_gpu_list_nvml: Systems Graphics Driver Version: 550.54.15 slurmd: debug: gpu/nvml: _get_system_gpu_list_nvml: NVML Library Version: 12.550.54.15 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: NVML API Version: 11 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Total CPU count: 64 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Device count: 4 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: GPU index 0: slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Name: nvidia_a100-sxm4-80gb slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: UUID: GPU-808805ee-2ae5-ee6d-14fd-6e63028d4a2a slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: PCI Domain/Bus/Device: 0:1:0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: PCI Bus ID: 00000000:01:00.0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: NVLinks: -1,0,0,0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Device File (minor number): /dev/nvidia0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: CPU Affinity Range - Machine: 24-31 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Core Affinity Range - Abstract: 24-31 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: MIG mode: enabled slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: MIG count: 2 slurmd: debug2: gpu/nvml: _handle_mig: GPU minor 0, MIG index 0: slurmd: debug2: gpu/nvml: _handle_mig: MIG Profile: nvidia_a100_3g.40gb slurmd: debug2: gpu/nvml: _handle_mig: MIG UUID: MIG-ab1b2cb1-d690-5564-885e-056f23c1c618 slurmd: debug2: gpu/nvml: _handle_mig: UniqueID: MIG-ab1b2cb1-d690-5564-885e-056f23c1c618 slurmd: debug2: gpu/nvml: _handle_mig: GPU Instance (GI) ID: 1 slurmd: debug2: gpu/nvml: _handle_mig: Compute Instance (CI) ID: 0 slurmd: debug2: gpu/nvml: _handle_mig: GI Minor Number: 12 slurmd: debug2: gpu/nvml: _handle_mig: CI Minor Number: 13 slurmd: debug2: gpu/nvml: _handle_mig: Device Files: /dev/nvidia0,/dev/nvidia-caps/nvidia-cap12,/dev/nvidia-caps/nvidia-cap13 slurmd: debug2: gpu/nvml: _handle_mig: GPU minor 0, MIG index 1: slurmd: debug2: gpu/nvml: _handle_mig: MIG Profile: nvidia_a100_3g.40gb slurmd: debug2: gpu/nvml: _handle_mig: MIG UUID: MIG-c43ecbcb-9f3f-5972-8eb9-6a2a09848bd5 slurmd: debug2: gpu/nvml: _handle_mig: UniqueID: MIG-c43ecbcb-9f3f-5972-8eb9-6a2a09848bd5 slurmd: debug2: gpu/nvml: _handle_mig: GPU Instance (GI) ID: 2 slurmd: debug2: gpu/nvml: _handle_mig: Compute Instance (CI) ID: 0 slurmd: debug2: gpu/nvml: _handle_mig: GI Minor Number: 21 slurmd: debug2: gpu/nvml: _handle_mig: CI Minor Number: 22 slurmd: debug2: gpu/nvml: _handle_mig: Device Files: /dev/nvidia0,/dev/nvidia-caps/nvidia-cap21,/dev/nvidia-caps/nvidia-cap22 slurmd: debug2: Possible GPU Memory Frequencies (1): slurmd: debug2: ------------------------------- slurmd: debug2: *1593 MHz [0] slurmd: debug2: Possible GPU Graphics Frequencies (81): slurmd: debug2: --------------------------------- slurmd: debug2: *1410 MHz [0] slurmd: debug2: *1395 MHz [1] slurmd: debug2: ... slurmd: debug2: *810 MHz [40] slurmd: debug2: ... slurmd: debug2: *225 MHz [79] slurmd: debug2: *210 MHz [80] slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: GPU index 1: slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Name: nvidia_a100-sxm4-80gb slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: UUID: GPU-05911075-e3e1-973b-708a-33a77ddd381c slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: PCI Domain/Bus/Device: 0:65:0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: PCI Bus ID: 00000000:41:00.0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: NVLinks: 0,-1,0,0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Device File (minor number): /dev/nvidia1 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: CPU Affinity Range - Machine: 8-15 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Core Affinity Range - Abstract: 8-15 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: MIG mode: enabled slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: MIG count: 2 slurmd: debug2: gpu/nvml: _handle_mig: GPU minor 1, MIG index 0: slurmd: debug2: gpu/nvml: _handle_mig: MIG Profile: nvidia_a100_3g.40gb slurmd: debug2: gpu/nvml: _handle_mig: MIG UUID: MIG-36b02f58-efa6-5071-9956-510c8a8e705a slurmd: debug2: gpu/nvml: _handle_mig: UniqueID: MIG-36b02f58-efa6-5071-9956-510c8a8e705a slurmd: debug2: gpu/nvml: _handle_mig: GPU Instance (GI) ID: 1 slurmd: debug2: gpu/nvml: _handle_mig: Compute Instance (CI) ID: 0 slurmd: debug2: gpu/nvml: _handle_mig: GI Minor Number: 147 slurmd: debug2: gpu/nvml: _handle_mig: CI Minor Number: 148 slurmd: debug2: gpu/nvml: _handle_mig: Device Files: /dev/nvidia1,/dev/nvidia-caps/nvidia-cap147,/dev/nvidia-caps/nvidia-cap148 slurmd: debug2: gpu/nvml: _handle_mig: GPU minor 1, MIG index 1: slurmd: debug2: gpu/nvml: _handle_mig: MIG Profile: nvidia_a100_3g.40gb slurmd: debug2: gpu/nvml: _handle_mig: MIG UUID: MIG-c5ca2779-f34d-544b-af52-55ef14aa0af6 slurmd: debug2: gpu/nvml: _handle_mig: UniqueID: MIG-c5ca2779-f34d-544b-af52-55ef14aa0af6 slurmd: debug2: gpu/nvml: _handle_mig: GPU Instance (GI) ID: 2 slurmd: debug2: gpu/nvml: _handle_mig: Compute Instance (CI) ID: 0 slurmd: debug2: gpu/nvml: _handle_mig: GI Minor Number: 156 slurmd: debug2: gpu/nvml: _handle_mig: CI Minor Number: 157 slurmd: debug2: gpu/nvml: _handle_mig: Device Files: /dev/nvidia1,/dev/nvidia-caps/nvidia-cap156,/dev/nvidia-caps/nvidia-cap157 slurmd: debug2: Possible GPU Memory Frequencies (1): slurmd: debug2: ------------------------------- slurmd: debug2: *1593 MHz [0] slurmd: debug2: Possible GPU Graphics Frequencies (81): slurmd: debug2: --------------------------------- slurmd: debug2: *1410 MHz [0] slurmd: debug2: *1395 MHz [1] slurmd: debug2: ... slurmd: debug2: *810 MHz [40] slurmd: debug2: ... slurmd: debug2: *225 MHz [79] slurmd: debug2: *210 MHz [80] slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: GPU index 2: slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Name: nvidia_a100-sxm4-80gb slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: UUID: GPU-7b67964f-9217-908f-042f-f37f06cbb1a2 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: PCI Domain/Bus/Device: 0:129:0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: PCI Bus ID: 00000000:81:00.0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: NVLinks: 0,0,-1,4 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Device File (minor number): /dev/nvidia2 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: CPU Affinity Range - Machine: 56-63 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Core Affinity Range - Abstract: 56-63 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: MIG mode: disabled slurmd: debug2: Possible GPU Memory Frequencies (1): slurmd: debug2: ------------------------------- slurmd: debug2: *1593 MHz [0] slurmd: debug2: Possible GPU Graphics Frequencies (81): slurmd: debug2: --------------------------------- slurmd: debug2: *1410 MHz [0] slurmd: debug2: *1395 MHz [1] slurmd: debug2: ... slurmd: debug2: *810 MHz [40] slurmd: debug2: ... slurmd: debug2: *225 MHz [79] slurmd: debug2: *210 MHz [80] slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: GPU index 3: slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Name: nvidia_a100-sxm4-80gb slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: UUID: GPU-87d7526f-6a29-214e-1c24-722a20211263 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: PCI Domain/Bus/Device: 0:193:0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: PCI Bus ID: 00000000:C1:00.0 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: NVLinks: 0,0,4,-1 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Device File (minor number): /dev/nvidia3 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: CPU Affinity Range - Machine: 40-47 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: Core Affinity Range - Abstract: 40-47 slurmd: debug2: gpu/nvml: _get_system_gpu_list_nvml: MIG mode: disabled slurmd: debug2: Possible GPU Memory Frequencies (1): slurmd: debug2: ------------------------------- slurmd: debug2: *1593 MHz [0] slurmd: debug2: Possible GPU Graphics Frequencies (81): slurmd: debug2: --------------------------------- slurmd: debug2: *1410 MHz [0] slurmd: debug2: *1395 MHz [1] slurmd: debug2: ... slurmd: debug2: *810 MHz [40] slurmd: debug2: ... slurmd: debug2: *225 MHz [79] slurmd: debug2: *210 MHz [80] slurmd: gpu/nvml: _get_system_gpu_list_nvml: 4 GPU system device(s) detected slurmd: debug: Gres GPU plugin: Merging configured GRES with system GPUs slurmd: debug2: gres/gpu: _merge_system_gres_conf: gres_list_conf: slurmd: debug2: GRES[gpu] Type:a100_3g.39gb Count:4 Cores(64):(null) Links:(null) Flags:HAS_TYPE,ENV_NVML,ENV_RSMI,ENV_ONEAPI,ENV_OPENCL,ENV_DEFAULT File:(null) UniqueId:(null) slurmd: debug2: GRES[gpu] Type:a100-sxm4-80gb Count:2 Cores(64):(null) Links:(null) Flags:HAS_TYPE,ENV_NVML,ENV_RSMI,ENV_ONEAPI,ENV_OPENCL,ENV_DEFAULT File:(null) UniqueId:(null) slurmd: debug: gres/gpu: _merge_system_gres_conf: Including the following GPU matched between system and configuration: slurmd: debug: GRES[gpu] Type:a100-sxm4-80gb Count:1 Cores(64):56-63 Links:0,0,-1,4 Flags:HAS_FILE,HAS_TYPE,ENV_NVML File:/dev/nvidia2 UniqueId:(null) slurmd: debug: gres/gpu: _merge_system_gres_conf: Including the following GPU matched between system and configuration: slurmd: debug: GRES[gpu] Type:a100-sxm4-80gb Count:1 Cores(64):40-47 Links:0,0,4,-1 Flags:HAS_FILE,HAS_TYPE,ENV_NVML File:/dev/nvidia3 UniqueId:(null) slurmd: error: Discarding the following config-only GPU due to lack of File specification: slurmd: error: GRES[gpu] Type:a100_3g.39gb Count:1 Cores(64):(null) Links:(null) Flags:HAS_TYPE,ENV_NVML,ENV_RSMI,ENV_ONEAPI,ENV_OPENCL,ENV_DEFAULT File:(null) UniqueId:(null) slurmd: error: Discarding the following config-only GPU due to lack of File specification: slurmd: error: GRES[gpu] Type:a100_3g.39gb Count:1 Cores(64):(null) Links:(null) Flags:HAS_TYPE,ENV_NVML,ENV_RSMI,ENV_ONEAPI,ENV_OPENCL,ENV_DEFAULT File:(null) UniqueId:(null) slurmd: error: Discarding the following config-only GPU due to lack of File specification: slurmd: error: GRES[gpu] Type:a100_3g.39gb Count:1 Cores(64):(null) Links:(null) Flags:HAS_TYPE,ENV_NVML,ENV_RSMI,ENV_ONEAPI,ENV_OPENCL,ENV_DEFAULT File:(null) UniqueId:(null) slurmd: error: Discarding the following config-only GPU due to lack of File specification: slurmd: error: GRES[gpu] Type:a100_3g.39gb Count:1 Cores(64):(null) Links:(null) Flags:HAS_TYPE,ENV_NVML,ENV_RSMI,ENV_ONEAPI,ENV_OPENCL,ENV_DEFAULT File:(null) UniqueId:(null) slurmd: warning: The following autodetected GPUs are being ignored: slurmd: GRES[gpu] Type:nvidia_a100_3g.40gb Count:1 Cores(64):24-31 Links:(null) Flags:HAS_FILE,HAS_TYPE,ENV_NVML File:/dev/nvidia0,/dev/nvidia-caps/nvidia-cap12,/dev/nvidia-caps/nvidia-cap13 UniqueId:MIG-ab1b2cb1-d690-5564-885e-056f23c1c618 slurmd: GRES[gpu] Type:nvidia_a100_3g.40gb Count:1 Cores(64):24-31 Links:(null) Flags:HAS_FILE,HAS_TYPE,ENV_NVML File:/dev/nvidia0,/dev/nvidia-caps/nvidia-cap21,/dev/nvidia-caps/nvidia-cap22 UniqueId:MIG-c43ecbcb-9f3f-5972-8eb9-6a2a09848bd5 slurmd: GRES[gpu] Type:nvidia_a100_3g.40gb Count:1 Cores(64):8-15 Links:(null) Flags:HAS_FILE,HAS_TYPE,ENV_NVML File:/dev/nvidia1,/dev/nvidia-caps/nvidia-cap147,/dev/nvidia-caps/nvidia-cap148 UniqueId:MIG-36b02f58-efa6-5071-9956-510c8a8e705a slurmd: GRES[gpu] Type:nvidia_a100_3g.40gb Count:1 Cores(64):8-15 Links:(null) Flags:HAS_FILE,HAS_TYPE,ENV_NVML File:/dev/nvidia1,/dev/nvidia-caps/nvidia-cap156,/dev/nvidia-caps/nvidia-cap157 UniqueId:MIG-c5ca2779-f34d-544b-af52-55ef14aa0af6 slurmd: debug2: gres/gpu: _merge_system_gres_conf: gres_list_gpu slurmd: debug2: GRES[gpu] Type:a100-sxm4-80gb Count:1 Cores(64):56-63 Links:0,0,-1,4 Flags:HAS_FILE,HAS_TYPE,ENV_NVML File:/dev/nvidia2 UniqueId:(null) slurmd: debug2: GRES[gpu] Type:a100-sxm4-80gb Count:1 Cores(64):40-47 Links:0,0,4,-1 Flags:HAS_FILE,HAS_TYPE,ENV_NVML File:/dev/nvidia3 UniqueId:(null) slurmd: debug: Gres GPU plugin: Final merged GRES list: slurmd: debug: GRES[gpu] Type:a100-sxm4-80gb Count:1 Cores(64):56-63 Links:0,0,-1,4 Flags:HAS_FILE,HAS_TYPE,ENV_NVML File:/dev/nvidia2 UniqueId:(null) slurmd: debug: GRES[gpu] Type:a100-sxm4-80gb Count:1 Cores(64):40-47 Links:0,0,4,-1 Flags:HAS_FILE,HAS_TYPE,ENV_NVML File:/dev/nvidia3 UniqueId:(null) slurmd: Gres Name=gpu Type=a100-sxm4-80gb Count=1 Flags=HAS_FILE,HAS_TYPE,ENV_NVML slurmd: Gres Name=gpu Type=a100-sxm4-80gb Count=1 Flags=HAS_FILE,HAS_TYPE,ENV_NVML slurmd: topology/default: init: topology Default plugin loaded slurmd: CPU frequency setting not configured for this node slurmd: debug: Resource spec: No specialized cores configured by default on this node slurmd: debug: Resource spec: Reserved system memory limit not configured for this node slurmd: debug: task/cgroup: init: Tasks containment cgroup plugin loaded slurmd: task/affinity: init: task affinity plugin loaded with CPU mask 0xffffffffffffffff slurmd: debug: spank: opening plugin stack /var/lib/slurm/slurmd/conf-cache/plugstack.conf slurmd: debug: /var/lib/slurm/slurmd/conf-cache/plugstack.conf: 1: include "/etc/slurm/plugstack.conf.d/*.conf" slurmd: cred/munge: init: Munge credential signature plugin loaded slurmd: warning: Core limit is only 0 KB slurmd: slurmd version 23.11.4 started slurmd: debug2: No acct_gather.conf file (/var/lib/slurm/slurmd/conf-cache/acct_gather.conf) slurmd: debug: jobacct_gather/cgroup: init: Job accounting gather cgroup plugin loaded slurmd: debug: MPI: Loading all types slurmd: debug: mpi/pmix_v4: init: PMIx plugin loaded slurmd: debug: mpi/pmix_v4: init: PMIx plugin loaded slurmd: debug2: No mpi.conf file (/var/lib/slurm/slurmd/conf-cache/mpi.conf) slurmd: slurmd started on Fri, 10 May 2024 14:30:30 +0000 slurmd: CPUs=64 Boards=1 Sockets=2 Cores=32 Threads=1 Memory=1031664 TmpDisk=0 Uptime=2512944 CPUSpecList=(null) FeaturesAvail=(null) FeaturesActive=(null) ^Cslurmd: got shutdown request slurmd: all threads complete slurmd: debug: mpi/pmix_v4: fini: (null) [0]: mpi_pmix.c:203: (null): call fini() slurmd: debug: mpi/pmix_v4: fini: (null) [0]: mpi_pmix.c:203: (null): call fini() slurmd: debug: jobacct_gather/cgroup: fini: Job accounting gather cgroup plugin unloaded slurmd: debug2: acct_gather_profile_startpoll: poll already ended! slurmd: debug: task/cgroup: fini: Tasks containment cgroup plugin unloaded slurmd: debug: task/affinity: fini: task affinity plugin unloaded slurmd: debug: hash/k12: fini: fini: unloading KangarooTwelve hash plugin slurmd: debug: gres/gpu: fini: unloading ^Cslurmd: debug2: gpu/nvml: _nvml_shutdown: Successfully shut down NVML slurmd: debug: gpu/nvml: fini: fini: unloading GPU NVML plugin slurmd: debug2: acct_gather_profile_startpoll: poll already ended! slurmd: debug: cgroup/v1: fini: unloading Cgroup v1 plugin slurmd: cred/munge: fini: Munge credential signature plugin unloaded slurmd: Slurmd shutdown completing

1 0

Trouble Running Slurm C Extension Plugin
by Glen MacLachlan 10 May '24

10 May '24

Hi, We have a plugin in Lua that mostly does what we want but there are features available in the C extension that are not available to lua. For that reason, we are attempting to convert to C using the guidance found here: https://slurm.schedmd.com/job_submit_plugins.html#building. We arrived here because the lua plugins don't seem to stretch enough to cover the use case we were looking at, i.e., branching off of the value of alloc_id or, for that matter, get_sid(). The goal is to disallow interactive allocations (i.e., salloc) on specific partitions while allowing it on others. However, we've run into an issue with our C plugin right out of the gate and I've included a minimal reproducer as an example which is basically a "Hello World" type of test (job_submit_disallow_salloc.c, see attached). *Expectation* What we expect to happen is a sort of hello-world result with a message being written to a /tmp/min_repo.log but that does not occur. It seems that the plugin does not get run at all when jobs are submitted. Jobs still run as expected but the plugin seems to be ignored. *Steps* We compile gcc -fPIC -DHAVE_CONFIG_H -I /modules/source/slurm-23.02.4 -g -O2 -pthread -fno-gcse -Werror -Wall -g -O0 -fno-strict-aliasing -MT job_submit_disallow_salloc.lo -MD -MP -MF .deps/job_submit_disallow_salloc.Tpo -c job_submit_disallow_salloc.c -o .libs/job_submit_disallow_salloc.o mv .deps/job_submit_disallow_salloc.Tpo .deps/job_submit_disallow_salloc.Plo and link gcc -shared -fPIC -DPIC .libs/job_submit_disallow_salloc.o -O2 -pthread -O0 -pthread -Wl,-soname -Wl,job_submit_disallow_salloc.so -o job_submit_disallow_salloc.so Check links after copying to /usr/lib64/slurm: ldd /usr/lib64/slurm/job_submit_disallow_salloc.so linux-vdso.so.1 (0x00007ffe467aa000) libpthread.so.0 => /lib64/libpthread.so.0 (0x00007f1c02095000) libc.so.6 => /lib64/libc.so.6 (0x00007f1c01cd0000) /lib64/ld-linux-x86-64.so.2 (0x00007f1c024b7000) Can someone point out what we are doing incorrectly or how we might troubleshoot this issue? Kindest regards, Glen *Reproducer* The minimal reproducer is basically a "hello world" for C extensions which I've pasted below (I've also attached it for convenience): #include <slurm/slurm.h> #include <slurm/slurm_errno.h> #include <stdio.h> #include "src/slurmctld/slurmctld.h" const char plugin_name[] = "Min Reproducer"; const char plugin_type[] = "job_submit/disallow_salloc"; const uint32_t plugin_version = SLURM_VERSION_NUMBER; extern int job_submit(job_desc_msg_t *job_desc, uint32_t submit_uid, char **err_msg) { FILE *fp; fp = fopen("/tmp/min_repo.log", "w"); fprintf(fp,"Hello!"); fclose(fp); return SLURM_SUCCESS; } int job_modify(job_desc_msg_t *job_desc, job_record_t *job_ptr, uint32_t submit_uid, char **err_msg) { return SLURM_SUCCESS; }

3 2

RunTimeQuery never configured in oci.conf
by Arnuld 10 May '24

10 May '24

I am using Slurm integrated with Podman. It runs the container fine and the Controller daemon log always says "WEXITSTATUS 0" . Container also runs successfully (it runs the python test program with no errors). But there are two things that I noticed: - slurmd.log says: " error: _get_container_state: RunTimeQuery failed rc:256 output:RunTimeQuery never configured in oci.conf" - podman --log-level=debug reports: "[conmon:d]: failed to write to /proc/self/oom_score_adj: Permission denied" How can I diagnose further to know what's wrong

1 0

GPU GRES verification and some really broad questions.
by Shooktija S N 10 May '24

10 May '24

Hi, I am a complete slurm-admin and sys-admin noob trying to set up a 3 node Slurm cluster. I have managed to get a minimum working example running, in which I am able to use a GPU (NVIDIA GeForce RTX 4070 ti) as a GRES. This is *slurm.conf* without the comment lines: root@server1:/etc/slurm# grep -v "#" slurm.confClusterName=DlabClusterSlurmctldHost=server1GresTypes=gpuProctrackType=proctrack/linuxprocReturnToService=1SlurmctldPidFile=/var/run/slurmctld.pidSlurmctldPort=6817SlurmdPidFile=/var/run/slurmd.pidSlurmdPort=6818SlurmdSpoolDir=/var/spool/slurmdSlurmUser=rootStateSaveLocation=/var/spool/slurmctldTaskPlugin=task/affinity,task/cgroupInactiveLimit=0KillWait=30MinJobAge=300SlurmctldTimeout=120SlurmdTimeout=300Waittime=0SchedulerType=sched/backfillSelectType=select/cons_tresJobCompType=jobcomp/noneJobAcctGatherFrequency=30SlurmctldDebug=infoSlurmctldLogFile=/var/log/slurmctld.logSlurmdDebug=debug3SlurmdLogFile=/var/log/slurmd.logNodeName=server[1-3] RealMemory=128636 Sockets=1 CoresPerSocket=64 ThreadsPerCore=2 State=UNKNOWN Gres=gpu:1PartitionName=mainPartition Nodes=ALL Default=YES MaxTime=INFINITE State=UP This is *gres.conf* (only one line), each node has been assigned its corresponding NodeName: root@server1:/etc/slurm# cat gres.confNodeName=server1 Name=gpu File=/dev/nvidia0 Those are the only config files I have. I have a few general questions, loosely arranged in ascending order of generality: 1) I have enabled the allocation of GPU resources as a GRES and have tested this by running: shookti@server1:~$ srun --nodes=3 --gpus=3 --label hostname2: server30: server11: server2 Is this a good way to check if the configs have worked correctly? How else can I easily check if the GPU GRES has been properly configured? 2) I want to reserve a few CPU cores, and a few gigs of memory for use by non slurm related tasks. According to the documentation, I am to use CoreSpecCount <https://slurm.schedmd.com/slurm.conf.html#OPT_CoreSpecCount> and MemSpecLimit <https://slurm.schedmd.com/slurm.conf.html#OPT_MemSpecLimit> to achieve this. The documentation for CoreSpecCount says "the Slurm daemon slurmd may either be confined to these resources (the default) or prevented from using these resources", how do I change this default behaviour to have the config specify the cores reserved for non slurm stuff instead of specifying how many cores slurm can use? 3) While looking up examples online on how to run Python scripts inside a conda env, I have seen that the line 'module load conda' should be run before running 'conda activate myEnv' in the sbatch submission script. The command 'module' did not exist until I installed the apt package 'environment-modules', but now I see that conda is not listed as a module that can be loaded when I check using the command 'module avail'. How do I fix this? 4) A very broad question: while managing the resources being used by a program, slurm might happen to split the resources across multiple computers that might not necessarily have the files required by this program to run. For example, a python script that requires the package 'numpy' to function but that package was not installed on all of the computers. How are such things dealt with? Is the module approach meant to fix this problem? In my previous question, if I had a python script that users usually run just by running a command like 'python3 someScript.py' instead of running it within a conda environment, how should I enable slurm to manage the resources required by this script? Would I have to install all the packages required by this script on all the computers that are in the cluster? 5) Related to the previous question: I have set up my 3 nodes in such a way that all the users' home directories are stored on a ceph cluster <https://en.wikipedia.org/wiki/Ceph_(software)> created using the hard drives from all the 3 nodes, which essentially means that a user's home directory is mounted at the same location on all 3 computers - making a user's data visible to all 3 nodes. Does this make the process of managing the dependencies of a program as described in the previous question easier? I realise that programs having to read and write to files on the hard drives of a ceph cluster is not really the fastest so I am planning on having users use the /tmp/ directory for speed critical reading and writing, as the OSs have been installed on NVME drives.

2 1

Problems with gres.conf
by Gestió Servidors 10 May '24

10 May '24

Hello, I am trying to rewrite my gres.conf file. Before changes, this file was just like this: NodeName=node-gpu-1 AutoDetect=off Name=gpu Type=GeForceRTX2070 File=/dev/nvidia0 Cores=0-11 NodeName=node-gpu-1 AutoDetect=off Name=gpu Type=GeForceGTX1080Ti File=/dev/nvidia1 Cores=12-23 NodeName=node-gpu-2 AutoDetect=off Name=gpu Type=GeForceGTX1080Ti File=/dev/nvidia0 Cores=0-11 NodeName=node-gpu-2 AutoDetect=off Name=gpu Type=GeForceGTX1080 File=/dev/nvidia1 Cores=12-23 NodeName=node-gpu-3 AutoDetect=off Name=gpu Type=GeForceRTX3080 File=/dev/nvidia0 Cores=0-11 NodeName=node-gpu-4 AutoDetect=off Name=gpu Type=GeForceRTX3080 File=/dev/nvidia0 Cores=0-7 # you can seee that nodes node-gpu-1 and node-gpu-2 have two GPUs each one, whereas nodes node-gpu-3 and node-gpu-4 have only one GPU each one And my slurmd.conf was this: [...] AccountingStorageTRES=gres/gpu GresTypes=gpu NodeName=node-gpu-1 CPUs=24 SocketsPerBoard=2 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=96000 TmpDisk=47000 Gres=gpu:GeForceRTX2070:1,gpu:GeForceGTX1080Ti:1 NodeName=node-gpu-2 CPUs=24 SocketsPerBoard=2 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=96000 TmpDisk=47000 Gres=gpu:GeForceGTX1080Ti:1,gpu:GeForceGTX1080:1 NodeName=node-gpu-3 CPUs=12 SocketsPerBoard=1 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=23000 Gres=gpu:GeForceRTX3080:1 NodeName=node-gpu-4 CPUs=8 SocketsPerBoard=1 CoresPerSocket=4 ThreadsPerCore=2 RealMemory=7800 Gres=gpu:GeForceRTX3080:1 NodeName=node-worker-[0-22] CPUs=12 SocketsPerBoard=1 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=47000 [...] With this configuration, all seems works fine, except slurmctld.log reports: [...] error: _node_config_validate: gres/gpu: invalid GRES core specification (0-11) on node node-gpu-3 error: _node_config_validate: gres/gpu: invalid GRES core specification (12-23) on node node-gpu-1 error: _node_config_validate: gres/gpu: invalid GRES core specification (12-23) on node node-gpu-2 error: _node_config_validate: gres/gpu: invalid GRES core specification (0-7) on node node-gpu-4 [...] However, even these errors, users can submit jobs and request GPUs resources. Now, I have tried to reconfigure gres.conf and slurmd.conf in this way: gres.conf: Name=gpu Type=GeForceRTX2070 File=/dev/nvidia0 Name=gpu Type=GeForceGTX1080Ti File=/dev/nvidia1 Name=gpu Type=GeForceGTX1080Ti File=/dev/nvidia0 Name=gpu Type=GeForceGTX1080 File=/dev/nvidia1 Name=gpu Type=GeForceRTX3080 File=/dev/nvidia0 Name=gpu Type=GeForceRTX3080 File=/dev/nvidia0 # there is no NodeName attribute slurmd.conf: [...] NodeName=node-gpu-1 SocketsPerBoard=2 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=96000 TmpDisk=47000 Gres=gpu:GeForceRTX2070:1,gpu:GeForceGTX1080Ti:1 NodeName=node-gpu-2 SocketsPerBoard=2 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=96000 TmpDisk=47000 Gres=gpu:GeForceGTX1080Ti:1,gpu:GeForceGTX1080:1 NodeName=node-gpu-3 SocketsPerBoard=1 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=23000 Gres=gpu:GeForceRTX3080:1 NodeName=node-gpu-4 SocketsPerBoard=1 CoresPerSocket=4 ThreadsPerCore=2 RealMemory=7800 Gres=gpu:GeForceRTX3080:1 NodeName=node-worker-[0-22] SocketsPerBoard=1 CoresPerSocket=6 ThreadsPerCore=2 RealMemory=47000 # there is no CPUs attribute [...] With this new configuration, nodes with GPU start correctly slurmd.service daemon, but nodes without GPU (node-worker-[0-22]) can't start slurmd.service daemon and returns this error: [...] error: Waiting for gres.conf file /dev/nvidia0 fatal: can't stat gres.conf file /dev/nvidia0: No such file or directory [...] It seems SLURM is waiting that "node-workers" have also an nvidia GPU but not, theses nodes haven't GPU... So, where is my configuration error? I have read in https://slurm.schedmd.com/gres.conf.html about syntax and examples but it seems I'm doing some wrong. Thanks!!

1 0

Re: srun launched mpi job occasionally core dumps
by Henderson, Brent 08 May '24

08 May '24

Thanks for the suggestion Ole - I'll see if I can get that in the mix to try over the next few days. I can report that 23.02.7 tree had the same issues, so going backwards on the slurm bits did not have any impact. Brent

1 0

Partition Preemption Configuration Question
by Jason Simms 08 May '24

08 May '24

Hello all, The Slurm docs have me a bit confused... I'm wanting to enable job preemption on certain partitions but not others. I *presume* I would set PreemptType=preempt/partition_prio globally, but then on the partitions where I don't want jobs to be able to be preempted, I would set PreemptMode=off within the configuration for that specific partition. The documentation, however, says that setting PreemptMode=off at a partition level "is only compatible with PreemptType=preempt/none at a global level" yet then immediately says that doing so is a "common use case for this parameter is to set it on a partition to disable preemption for that partition," which indicates preemption would still be allowable for other partitions. If PreemptType is set to preempt/none globally, and I *cannot* set that as an option for a given partition (at least, the documentation doesn't indicate that is a valid parameter for a partition), wouldn't preemption be disabled globally anyway? The wording seems odd to me and almost contradictory. Is it possible to have PreemptType=preempt/partition_prio set globally, yet also disable it on specific partitions with PreemptMode=off? Is PreemptType actually a valid configuration option for specific partitions? Thanks for any guidance. Warmest regards, Jason -- *Jason L. Simms, Ph.D., M.P.H.* Manager of Research Computing Swarthmore College Information Technology Services (610) 328-8102 Schedule a meeting: https://calendly.com/jlsimms

3 3

Container Jobs "hanging"
by sean+slurm＠superorbital.io 08 May '24

08 May '24

Hello. I am new to this list and Slurm overall. I have a lot of experience in computer operations, including Kubernetes, but I am currently exploring Slurm in some depth. I have set up a small cluster and, in general, have gotten things working, but when I try to run a container job, it runs the command but then appears to hang as if the job container is still running. So, running the following works, but it never returns to the prompt unless I use [Control-C]. $ srun --container /shared_fs/shared/oci_images/alpine uptime 19:21:47 up 20:43, 0 users, load average: 0.03, 0.25, 0.15 I'm unsure if something is misconfigured or if I'm misunderstanding how this should work, but any help and/or pointers would be greatly appreciated. Thanks! Sean

1 0

scrontab question
by Sandor 08 May '24

08 May '24

I am working out the details of scrontab. My initial testing is giving me an unsolvable question Within scrontab editor I have the following example from the slurm documentation: 0,5,10,15,20,25,30,35,40,45,50,55 * * * * /directory/subdirectory/crontest.sh When I save it, scrontab marks the line with #BAD: I do not understand why. The only difference I have is the directory structure. Is there an underlying assumption that traditional Linux crontab is available to the general user?

4 3

Slurm With Podman - No child processes error
by ARNULD 08 May '24

08 May '24

I have integrated Podman with Slurm as per the docs ( https://slurm.schedmd.com/containers.html#podman-scrun) and when I do a test run: "podman run hello-world" (this runs fine) ---- $ podman run alpine hostname executable file `/usr/bin/hostname` not found in $PATH: No such file or directory srun: error: slurm1: task 0: Exited with exit code 1 ----- $ podman run alpine printenv SLURM_JOB_ID executable file `/usr/bin/printenv` not found in $PATH: No such file or directory srun: error: slurm1: task 0: Exited with exit code 1 scrun: error: run_command_waitpid_timeout: waitpid(67537): No child processes --- podman run alpine uptime 11:31:28 up 5:32, 0 users, load average: 0.00, 0.00, 0.00 scrun: error: run_command_waitpid_timeout: waitpid(68160): No child processes ------ I built a small image from python:alpine3.19 which just prints "hello world" and numbers from 1 to 10. Here is a run: $ podman run -it --rm hello-python $ podman run -it --rm hello-python Hello, world! Numbers from 1 to 10: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] ---- No error with my image. Also I tested podman on another machine without Slurm. Podman with its default runtime prints the hostname fine with "podman run alpine hostname". So something to do with its integration with Slurm. What can I do to diagnose the problem?

1 0

StateSaveLocation and Slurm HA
by Pierre Abele 07 May '24

07 May '24

Hi all, I am looking for a clean way to set up Slurms native high availability feature. I am managing a Slurm cluster with one control node (hosting both slurmctld and slurmdbd), one login node and a few dozen compute nodes. I have a virtual machine that I want to set up as a backup control node. The Slurm documentation says the following about the StateSaveLocation directory: > The directory used should be on a low-latency local disk to prevent file system delays from affecting Slurm performance. If using a backup host, the StateSaveLocation should reside on a file system shared by the two hosts. We do not recommend using NFS to make the directory accessible to both hosts, but do recommend a shared mount that is accessible to the two controllers and allows low-latency reads and writes to the disk. If a controller comes up without access to the state information, queued and running jobs will be cancelled. [1] My question: How do I implement the shared file system for the StateSaveLocation? I do not want to introduce a single point of failure by having a single node that hosts the StateSaveLocation, neither do I want to put that directory on the clusters NFS storage since outages/downtime of the storage system will happen at some point and I do not want that to cause an outage of the Slurm controller. Any help or ideas would be appreciated. Best, Pierre [1] https://slurm.schedmd.com/quickstart_admin.html#Config -- Pierre Abele, M.Sc. HPC Administrator Max-Planck-Institute for Evolutionary Anthropology Department of Primate Behavior and Evolution Deutscher Platz 6 04103 Leipzig Room: U2.80 E-Mail: pierre_abele(a)eva.mpg.de Phone: +49 (0) 341 3550 245

3 2

"token expired" errors with auth/slurm
by Fabio Ranalli 07 May '24

07 May '24

Hi there, We've updated to 23.11.6 and replaced MUNGE with SACK. Performance and stability have both been pretty good, but we're occasionally seeing this in the slurmctld.log /[2024-05-07T03:50:16.638] error: decode_jwt: token expired at 1715053769 [2024-05-07T03:50:16.638] error: cred_p_unpack: decode_jwt() failed [2024-05-07T03:50:16.638] error: Malformed RPC of type REQUEST_BATCH_JOB_LAUNCH(4005) received [2024-05-07T03:50:16.641] error: slurm_receive_msg_and_forward: [[headnode.internal]:58286] failed: Header lengths are longer than data received [2024-05-07T03:50:16.648] error: service_connection: slurm_receive_msg: Header lengths are longer than data received/ it seems to impact a subset of nodes: jobs get killed and no new ones are allocated. Full functionality can be restored by simply restarting slurmctld first, and then slurmd. Is the token expected to actually expire? I didn't see this possibility mentioned in the docs. The problem occurs on an R&D cloud cluster based on EL9, with a pretty "flat" setup. _headnode_: configless slurmctld, slurmdbd, mariadb, nfsd _elastic compute nodes_: autofs, slurmd *//etc/slurm/slurm.conf/* AuthType=auth/slurm AuthInfo=use_client_ids CredType=cred/slurm *//etc/slurm/slurmdbd.conf/* AuthType=auth/slurm AuthInfo=use_client_ids Has anyone else encountered the same error? Thanks, Fabio -- *Fabio Ranalli* | Principal Systems Administrator Schrödinger, Inc. <https://schrodinger.com>

1 0

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