[slurm-users] GPU jobs not running correctly

Fulcomer, Samuel samuel_fulcomer at brown.edu
Fri Aug 20 22:01:19 UTC 2021


Well... you've got lots of weirdness, as the scontrol show job command
isn't listing any GPU TRES requests, and the scontrol show node command
isn't listing any configured GPU TRES resources.

If you send me your entire slurm.conf I'll have a quick look-over.

You also should be using cgroup.conf to fence off the GPU devices so that a
job only sees the GPUs that it's been allocated. The lines in the batch
file to figure it out aren't necessary. I forgot to ask you about
cgroup.conf.

regards,
Sam

On Fri, Aug 20, 2021 at 5:46 PM Andrey Malyutin <malyutinag at gmail.com>
wrote:

> Thank you Samuel,
>
> Slurm version is 20.02.6. I'm not entirely sure about the platform,
> RTX6000 nodes are about 2 years old, and 3090 node is very recent.
> Technically we have 4 nodes (hence references to node04 in info below), but
> one of the nodes is down and out of the system at the moment. As you see,
> the job really wants to run on the downed node instead of going to node02
> or node03.
>
> Thank you again,
> Andrey
>
>
>
> *scontrol info:*
>
> JobId=283 JobName=cryosparc_P2_J214
>
>    UserId=cryosparc(1003) GroupId=cryosparc(1003) MCS_label=N/A
>
>    Priority=4294901572 Nice=0 Account=(null) QOS=normal
>
>    JobState=PENDING Reason=ReqNodeNotAvail,_UnavailableNodes:node04
> Dependency=(null)
>
>    Requeue=1 Restarts=0 BatchFlag=1 Reboot=0 ExitCode=0:0
>
>    RunTime=00:00:00 TimeLimit=UNLIMITED TimeMin=N/A
>
>    SubmitTime=2021-08-20T20:55:00 EligibleTime=2021-08-20T20:55:00
>
>    AccrueTime=2021-08-20T20:55:00
>
>    StartTime=Unknown EndTime=Unknown Deadline=N/A
>
>    SuspendTime=None SecsPreSuspend=0 LastSchedEval=2021-08-20T23:36:14
>
>    Partition=CSCluster AllocNode:Sid=headnode:108964
>
>    ReqNodeList=(null) ExcNodeList=(null)
>
>    NodeList=(null)
>
>    NumNodes=1 NumCPUs=4 NumTasks=4 CPUs/Task=1 ReqB:S:C:T=0:0:*:*
>
>    TRES=cpu=4,mem=24000M,node=1,billing=4
>
>    Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=*
>
>    MinCPUsNode=1 MinMemoryNode=24000M MinTmpDiskNode=0
>
>    Features=(null) DelayBoot=00:00:00
>
>    OverSubscribe=NO Contiguous=0 Licenses=(null) Network=(null)
>
>
> Command=/data/backups/takeda2/data/cryosparc_projects/P8/J214/queue_sub_script.sh
>
>    WorkDir=/ssd/CryoSparc/cryosparc_master
>
>    StdErr=/data/backups/takeda2/data/cryosparc_projects/P8/J214/job.log
>
>    StdIn=/dev/null
>
>    StdOut=/data/backups/takeda2/data/cryosparc_projects/P8/J214/job.log
>
>    Power=
>
>    TresPerNode=gpu:1
>
>    MailUser=cryosparc MailType=NONE
>
>
> *Script:*
>
> #SBATCH --job-name cryosparc_P2_J214
>
> #SBATCH -n 4
>
> #SBATCH --gres=gpu:1
>
> #SBATCH -p CSCluster
>
> #SBATCH --mem=24000MB
>
> #SBATCH
> --output=/data/backups/takeda2/data/cryosparc_projects/P8/J214/job.log
>
> #SBATCH
> --error=/data/backups/takeda2/data/cryosparc_projects/P8/J214/job.log
>
>
>
> available_devs=""
>
> for devidx in $(seq 0 15);
>
> do
>
>     if [[ -z $(nvidia-smi -i $devidx --query-compute-apps=pid
> --format=csv,noheader) ]] ; then
>
>         if [[ -z "$available_devs" ]] ; then
>
>             available_devs=$devidx
>
>         else
>
>             available_devs=$available_devs,$devidx
>
>         fi
>
>     fi
>
> done
>
> export CUDA_VISIBLE_DEVICES=$available_devs
>
>
>
> /ssd/CryoSparc/cryosparc_worker/bin/cryosparcw run --project P2 --job J214
> --master_hostname headnode.cm.cluster --master_command_core_port 39002 >
> /data/backups/takeda2/data/cryosparc_projects/P8/J214/job.log 2>&1
>
>
>
>
>
>
>
> *Slurm.conf*
>
> # This section of this file was automatically generated by cmd. Do not
> edit manually!
>
> # BEGIN AUTOGENERATED SECTION -- DO NOT REMOVE
>
> # Server nodes
>
> SlurmctldHost=headnode
>
> AccountingStorageHost=master
>
>
> #############################################################################################
>
> #GPU  Nodes
>
>
> #############################################################################################
>
> NodeName=node[02-04] Procs=64 CoresPerSocket=16 RealMemory=257024
> Sockets=2 ThreadsPerCore=2 Feature=RTX6000 Gres=gpu:4
>
> NodeName=node01 Procs=64 CoresPerSocket=16 RealMemory=386048 Sockets=2
> ThreadsPerCore=2 Feature=RTX3090 Gres=gpu:4
>
> #NodeName=node[05-08] Procs=8 Gres=gpu:4
>
> #
>
>
> #############################################################################################
>
> # Partitions
>
>
> #############################################################################################
>
> 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=node[01-04]
>
> PartitionName=CSLive MinNodes=1 DefaultTime=UNLIMITED MaxTime=UNLIMITED
> AllowGroups=ALL PriorityJobFactor=1 PriorityTier=1 OverSubscribe=NO
> PreemptMode=OFF AllowAccounts=ALL AllowQos=ALL Nodes=node01
>
> PartitionName=CSCluster MinNodes=1 DefaultTime=UNLIMITED MaxTime=UNLIMITED
> AllowGroups=ALL PriorityJobFactor=1 PriorityTier=1 OverSubscribe=NO
> PreemptMode=OFF AllowAccounts=ALL AllowQos=ALL Nodes=node[02-04]
>
> ClusterName=slurm
>
>
>
> *Gres.conf*
>
> # This section of this file was automatically generated by cmd. Do not
> edit manually!
>
> # BEGIN AUTOGENERATED SECTION -- DO NOT REMOVE
>
> AutoDetect=NVML
>
> # END AUTOGENERATED SECTION   -- DO NOT REMOVE
>
> #Name=gpu File=/dev/nvidia[0-3] Count=4
>
> #Name=mic Count=0
>
>
>
> *Sinfo:*
>
> PARTITION AVAIL  TIMELIMIT  NODES  STATE NODELIST
>
> defq*        up   infinite      1  down* node04
>
> defq*        up   infinite      3   idle node[01-03]
>
> CSLive       up   infinite      1   idle node01
>
> CSCluster    up   infinite      1  down* node04
>
> CSCluster    up   infinite      2   idle node[02-03]
>
>
>
> *Node1:*
>
> NodeName=node01 Arch=x86_64 CoresPerSocket=16
>
>    CPUAlloc=0 CPUTot=64 CPULoad=0.04
>
>    AvailableFeatures=RTX3090
>
>    ActiveFeatures=RTX3090
>
>    Gres=gpu:4
>
>    NodeAddr=node01 NodeHostName=node01 Version=20.02.6
>
>    OS=Linux 3.10.0-1160.11.1.el7.x86_64 #1 SMP Fri Dec 18 16:34:56 UTC 2020
>
>    RealMemory=386048 AllocMem=0 FreeMem=16665 Sockets=2 Boards=1
>
>    State=IDLE ThreadsPerCore=2 TmpDisk=0 Weight=1 Owner=N/A MCS_label=N/A
>
>    Partitions=defq,CSLive
>
>    BootTime=2021-08-04T13:59:08 SlurmdStartTime=2021-08-10T09:32:43
>
>    CfgTRES=cpu=64,mem=377G,billing=64
>
>    AllocTRES=
>
>    CapWatts=n/a
>
>    CurrentWatts=0 AveWatts=0
>
>    ExtSensorsJoules=n/s ExtSensorsWatts=0 ExtSensorsTemp=n/s
>
>
>
> *Node2-3*
>
> NodeName=node02 Arch=x86_64 CoresPerSocket=16
>
>    CPUAlloc=0 CPUTot=64 CPULoad=0.48
>
>    AvailableFeatures=RTX6000
>
>    ActiveFeatures=RTX6000
>
>    Gres=gpu:4(S:0-1)
>
>    NodeAddr=node02 NodeHostName=node02 Version=20.02.6
>
>    OS=Linux 3.10.0-1160.11.1.el7.x86_64 #1 SMP Fri Dec 18 16:34:56 UTC 2020
>
>    RealMemory=257024 AllocMem=0 FreeMem=2259 Sockets=2 Boards=1
>
>    State=IDLE ThreadsPerCore=2 TmpDisk=0 Weight=1 Owner=N/A MCS_label=N/A
>
>    Partitions=defq,CSCluster
>
>    BootTime=2021-07-29T20:47:32 SlurmdStartTime=2021-08-10T09:32:55
>
>    CfgTRES=cpu=64,mem=251G,billing=64
>
>    AllocTRES=
>
>    CapWatts=n/a
>
>    CurrentWatts=0 AveWatts=0
>
>    ExtSensorsJoules=n/s ExtSensorsWatts=0 ExtSensorsTemp=n/s
>
> On Thu, Aug 19, 2021, 6:07 PM Fulcomer, Samuel <samuel_fulcomer at brown.edu>
> wrote:
>
>> What SLURM version are you running?
>>
>> What are the #SLURM directives in the batch script? (or the sbatch
>> arguments)
>>
>> When the single GPU jobs are pending, what's the output of 'scontrol show
>> job JOBID'?
>>
>> What are the node definitions in slurm.conf, and the lines in gres.conf?
>>
>> Are the nodes all the same host platform (motherboard)?
>>
>> We have P100s, TitanVs, Titan RTXs, Quadro RTX 6000s, 3090s, V100s, DGX
>> 1s, A6000s, and A40s, with a mix of single and dual-root platforms, and
>> haven't seen this problem with SLURM 20.02.6 or earlier versions.
>>
>> On Thu, Aug 19, 2021 at 8:38 PM Andrey Malyutin <malyutinag at gmail.com>
>> wrote:
>>
>>> Hello,
>>>
>>> We are in the process of finishing up the setup of a cluster with 3
>>> nodes, 4 GPUs each. One node has RTX3090s and the other 2 have RTX6000s.Any
>>> job asking for 1 GPU in the submission script will wait to run on the 3090
>>> node, no matter resource availability. Same job requesting 2 or more GPUs
>>> will run on any node. I don't even know where to begin troubleshooting this
>>> issue; entries for the 3 nodes are effectively identical in slurm.conf. Any
>>> help would be appreciated. (If helpful - this cluster is used for
>>> structural biology, with cryosparc and relion packages).
>>>
>>> Thank you,
>>> Andrey
>>>
>>
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