Hello Fellow Slurm Admins,
I have a new Slurm installation that was working and running basic test jobs until I added gpu support. My worker nodes are now all in drain state, with gres/gpu count reported lower than configured (0 < 4)
This is in spite of the fact that nvidia-smi reports all four A100’s as active on each node. I have spent a good chunk of a week googling around for the solution to this, and trying variants of the gpu config lines/restarting daemons without any luck.
The relevant lines from my current config files are below. The head node and all workers have the same gres.conf and slurm.conf files. Can anyone suggest anything else I should be looking at or adding? I’m guessing that this is a problem that many have faced, and any guidance would be greatly appreciated.
root@sjc01enadsapp00:/etc/slurm-llnl# grep gpu slurm.conf
GresTypes=gpu
NodeName=sjc01enadsapp0[1-8] RealMemory=2063731 Sockets=2 CoresPerSocket=16 ThreadsPerCore=2 Gres=gpu:4 State=UNKNOWN
root@sjc01enadsapp00:/etc/slurm-llnl# cat gres.conf
NodeName=sjc01enadsapp0[1-8] Name=gpu File=/dev/nvidia[0-3]
root@sjc01enadsapp00:~# sinfo -N -o "%.20N %.15C %.10t %.10m %.15P %.15G %.75E"
NODELIST CPUS(A/I/O/T) STATE MEMORY PARTITION GRES REASON
sjc01enadsapp01 0/0/64/64 drain 2063731 Primary* gpu:4 gres/gpu count reported lower than configured (0 < 4)
sjc01enadsapp02 0/0/64/64 drain 2063731 Primary* gpu:4 gres/gpu count reported lower than configured (0 < 4)
sjc01enadsapp03 0/0/64/64 drain 2063731 Primary* gpu:4 gres/gpu count reported lower than configured (0 < 4)
sjc01enadsapp04 0/0/64/64 drain 2063731 Primary* gpu:4 gres/gpu count reported lower than configured (0 < 4)
sjc01enadsapp05 0/0/64/64 drain 2063731 Primary* gpu:4 gres/gpu count reported lower than configured (0 < 4)
sjc01enadsapp06 0/0/64/64 drain 2063731 Primary* gpu:4 gres/gpu count reported lower than configured (0 < 4)
sjc01enadsapp07 0/0/64/64 drain 2063731 Primary* gpu:4 gres/gpu count reported lower than configured (0 < 4)
sjc01enadsapp08 0/0/64/64 drain 2063731 Primary* gpu:4 gres/gpu count reported lower than configured (0 < 4)
root@sjc01enadsapp07:~# nvidia-smi
Tue May 3 18:41:34 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.103.01 Driver Version: 470.103.01 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA A100-PCI... On | 00000000:17:00.0 Off | 0 |
| N/A 42C P0 49W / 250W | 4MiB / 40536MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
| 1 NVIDIA A100-PCI... On | 00000000:65:00.0 Off | 0 |
| N/A 41C P0 48W / 250W | 4MiB / 40536MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
| 2 NVIDIA A100-PCI... On | 00000000:CA:00.0 Off | 0 |
| N/A 35C P0 44W / 250W | 4MiB / 40536MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
| 3 NVIDIA A100-PCI... On | 00000000:E3:00.0 Off | 0 |
| N/A 38C P0 45W / 250W | 4MiB / 40536MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 2179 G /usr/lib/xorg/Xorg 4MiB |
| 1 N/A N/A 2179 G /usr/lib/xorg/Xorg 4MiB |
| 2 N/A N/A 2179 G /usr/lib/xorg/Xorg 4MiB |
| 3 N/A N/A 2179 G /usr/lib/xorg/Xorg 4MiB |
+-----------------------------------------------------------------------------+
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Whoops. Sent the first to an incorrect address….apologies if this shows up as a duplicate.
-jimk
sjc01enadsapp[01-08]Otherwise I'd raise the debug level of slurmd to maximum by setting
SlurmdDebug=debug5in slurm.conf, tail SlurmdLogFile on a GPU node and then restart slurmd there.
-- ETH Zurich Stephan Roth Systems Administrator IT Support Group (ISG) D-ITET ETF D 104 Sternwartstrasse 7 8092 Zurich Phone +41 44 632 30 59 stepha...@ee.ethz.ch www.isg.ee.ethz.ch Working days: Mon,Tue,Thu,Fri