[slurm-users] Nodes stay drained no matter what I do

Timony, Mick Michael_Timony at hms.harvard.edu
Thu Aug 24 16:24:02 UTC 2023


Hi Patrick,

You may want to review the release notes for 19.05 and any intermediate versions:

https://github.com/SchedMD/slurm/blob/slurm-19-05-5-1/RELEASE_NOTES

https://github.com/SchedMD/slurm/blob/slurm-18-08-9-1/RELEASE_NOTES

I'd also check the slurmd.log​ on the compute nodes. It's usually in /var/log/slurm/slurmd.log​

I'm not 100% sure your gres.conf is correct, we use one gres.conf for all our nodes, it looks something like this:

NodeName=gpu-[1,2] Name=gpu Type=teslaM40 File=/dev/nvidia[0-3]​
NodeName=gpu-[3,6] Name=gpu Type=teslaK80 File=/dev/nvidia[0-7]​
NodeName=gpu-[7-9] Name=gpu Type=teslaV100 File=/dev/nvidia[0-3]​

SchedMd docs example is a little different as they have a unique gres.conf by node in their example at:

https://github.com/SchedMD/slurm/blob/slurm-19-05-5-1/doc/man/man5/gres.conf.5

Name=gpu Type=gtx560 File=/dev/nvidia0 COREs=0,1​

I don't see Name​ in your gres.conf​?

Kind regards

--
Mick Timony
Senior DevOps Engineer
Harvard Medical School
--

________________________________
From: slurm-users <slurm-users-bounces at lists.schedmd.com> on behalf of Patrick Goetz <pgoetz at math.utexas.edu>
Sent: Thursday, August 24, 2023 11:27 AM
To: Slurm User Community List <slurm-users at lists.schedmd.com>
Subject: [slurm-users] Nodes stay drained no matter what I do


Master/Nodes: Ubuntu 20.04, Slurm 19.05.5 (as packaged by Debian)

This is an upgrade from a working Ubuntu 18.04/Slurm 17.x system where I
re-used the original slurm.conf (fearing this might cause issues).  The
hardware is the same.  The Master and nodes all use the same slurm.conf,
gres.conf, and cgroup.conf files which are soft linked into
/etc/slurm-llnl from an NFS mounted filesystem.

As per the subject, the nodes refuse to revert to idle:

-----------------------------------------------------------
root at hypnotoad:~# sinfo -N -l
Thu Aug 24 10:01:20 2023
NODELIST   NODES PARTITION       STATE CPUS    S:C:T MEMORY TMP_DISK
WEIGHT AVAIL_FE REASON
dgx-2          1       dgx     drained   80   80:1:1 500000        0
  1   (null) gres/gpu count repor
dgx-3          1       dgx     drained   80   80:1:1 500000        0
  1   (null) gres/gpu count repor
dgx-4          1       dgx     drained   80   80:1:1 500000        0
  1   (null) gres/gpu count
...
titan-3        1   titans*     drained   40   40:1:1 250000        0
  1   (null) gres/gpu count report
...
-----------------------------------------------------------

Neither of these commands has any effect:

   scontrol update NodeName=dgx-[2-6] State=RESUME
   scontrol update state=idle nodename=dgx-[2-6]


When I check the slurmctld log I find this helpful information:

-----------------------------------------------------------
...
[2023-08-24T00:00:00.033] error: _slurm_rpc_node_registration
node=dgx-4: Invalid argument
[2023-08-24T00:00:00.037] error: _slurm_rpc_node_registration
node=dgx-2: Invalid argument
[2023-08-24T00:00:00.216] error: _slurm_rpc_node_registration
node=titan-12: Invalid argument
[2023-08-24T00:00:00.216] error: _slurm_rpc_node_registration
node=titan-11: Invalid argument
[2023-08-24T00:00:00.266] error: _slurm_rpc_node_registration
node=dgx-6: Invalid argument
...
-----------------------------------------------------------

Googling, this appears to indicate that there is a resource mismatch
between the actual hardware and what is specified in slurm.conf. Note
that the existing configuration worked for Slurm 17, but I checked, and
it looks fine to me:

Relevant parts of slurm.conf:

-----------------------------------------------------------
   SchedulerType=sched/backfill
   SelectType=select/cons_res
   SelectTypeParameters=CR_Core_Memory

   PartitionName=titans Default=YES Nodes=titan-[3-15] State=UP
MaxTime=UNLIMITED
   PartitionName=dgx Nodes=dgx-[2-6] State=UP MaxTime=UNLIMITED

   GresTypes=gpu
   NodeName=titan-[3-15] Gres=gpu:titanv:8 RealMemory=250000 CPUs=40
   NodeName=dgx-2 Gres=gpu:tesla-v100:7 RealMemory=500000 CPUs=80
   NodeName=dgx-[3-6] Gres=gpu:tesla-v100:8 RealMemory=500000 CPUs=80
-----------------------------------------------------------

All the nodes in the titan partition are identical hardware, as are the
nodes in the dgx partition save for dgx-2, which lost a GPU and is no
longer under warranty.  So, using a couple of representative nodes:

root at dgx-4:~# slurmd -C
NodeName=dgx-4 CPUs=80 Boards=1 SocketsPerBoard=2 CoresPerSocket=20
ThreadsPerCore=2 RealMemory=515846

root at titan-8:~# slurmd -C
NodeName=titan-8 CPUs=40 Boards=1 SocketsPerBoard=2 CoresPerSocket=10
ThreadsPerCore=2 RealMemory=257811


I'm at a loss for how to debug this and am looking suggestions. Since
the resources on these machines are strictly dedicated to Slurm jobs,
would it be best to use the output of `slurmd -C` directly for the right
hand side of NodeName, reducing the memory a bit for OS overhead? Is
there any way to get better debugging output? "Invalid argument" doesn't
tell me much.

Thanks.







-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.schedmd.com/pipermail/slurm-users/attachments/20230824/3baa6013/attachment-0001.htm>


More information about the slurm-users mailing list