[slurm-users] Backfill isn’t working for a node with two GPUs that have different GRES types.
Marcus Wagner
wagner at itc.rwth-aachen.de
Wed Apr 3 08:47:17 UTC 2019
Hmm...,
I'm a bit dazzled, seems to be ok as far as I can tell.
Did you try to restart slurmctld?
I had a case, where users could not submit to the default partition
anymore, since SLURM told them (if I remember right)
wrong account/partition combination
or something like that.
My first suspicion was my submission script since I changed it recently,
but I could not find any error. scontrol reconfig did not help.
But everything went well again, after I restarted the slurmctld.
Might be worth a try.
Best
Marcus
On 4/2/19 1:24 PM, Randall Radmer wrote:
> Hi Marcus,
>
> Following jobs are running or pending after I killed job 100816, which
> was running on computelab-134's T4:
> 100815 RUNNING computelab-134 gpu:gv100:1 None1
> 100817 PENDING gpu:gv100:1 Resources1
> 100818 PENDING gpu:tu104:1 Resources1
>
> $ scontrol -d show node computelab-134
> NodeName=computelab-134 Arch=x86_64 CoresPerSocket=6
> CPUAlloc=6 CPUErr=0 CPUTot=12 CPULoad=0.00
> AvailableFeatures=(null)
> ActiveFeatures=(null)
> Gres=gpu:gv100:1,gpu:tu104:1
> GresDrain=N/A
> GresUsed=gpu:gv100:1(IDX:0),gpu:tu104:0(IDX:N/A)
> NodeAddr=computelab-134 NodeHostName=computelab-134 Version=17.11
> OS=Linux 4.4.0-143-generic #169-Ubuntu SMP Thu Feb 7 07:56:38 UTC 2019
> RealMemory=64307 AllocMem=32148 FreeMem=61126 Sockets=2 Boards=1
> State=MIXED ThreadsPerCore=1 TmpDisk=404938 Weight=1 Owner=N/A
> MCS_label=N/A
> Partitions=test-backfill
> BootTime=2019-03-29T12:09:25 SlurmdStartTime=2019-04-01T11:34:35
> CfgTRES=cpu=12,mem=64307M,billing=12,gres/gpu=2,gres/gpu:gv100=1,gres/gpu:tu104=1
> AllocTRES=cpu=6,mem=32148M,gres/gpu=1,gres/gpu:gv100=1
> CapWatts=n/a
> CurrentWatts=0 LowestJoules=0 ConsumedJoules=0
> ExtSensorsJoules=n/s ExtSensorsWatts=0 ExtSensorsTemp=n/s
>
> $ scontrol -d show job 100815
> JobId=100815 JobName=bash
> UserId=rradmer(27578) GroupId=hardware(30) MCS_label=N/A
> Priority=1 Nice=0 Account=cag QOS=normal
> JobState=RUNNING Reason=None Dependency=(null)
> Requeue=1 Restarts=0 BatchFlag=0 Reboot=0 ExitCode=0:0
> DerivedExitCode=0:0
> RunTime=00:06:45 TimeLimit=02:00:00 TimeMin=N/A
> SubmitTime=2019-04-02T05:13:05 EligibleTime=2019-04-02T05:13:05
> StartTime=2019-04-02T05:13:05 EndTime=2019-04-02T07:13:05 Deadline=N/A
> PreemptTime=None SuspendTime=None SecsPreSuspend=0
> LastSchedEval=2019-04-02T05:13:05
> Partition=test-backfill AllocNode:Sid=computelab-frontend-02:7873
> ReqNodeList=computelab-134 ExcNodeList=(null)
> NodeList=computelab-134
> BatchHost=computelab-134
> NumNodes=1 NumCPUs=6 NumTasks=1 CPUs/Task=6 ReqB:S:C:T=0:0:*:*
> TRES=cpu=6,mem=32148M,node=1,billing=6,gres/gpu=1,gres/gpu:gv100=1
> Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=*
> Nodes=computelab-134 CPU_IDs=0-5 Mem=32148 GRES_IDX=gpu:gv100(IDX:0)
> MinCPUsNode=6 MinMemoryNode=32148M MinTmpDiskNode=0
> Features=(null) DelayBoot=00:00:00
> Gres=gpu:gv100:1 Reservation=(null)
> OverSubscribe=OK Contiguous=0 Licenses=(null) Network=(null)
> Command=/bin/bash
> WorkDir=/home/rradmer
> Power=
>
> $ scontrol -d show job 100817
> JobId=100817 JobName=bash
> UserId=rradmer(27578) GroupId=hardware(30) MCS_label=N/A
> Priority=1 Nice=0 Account=cag QOS=normal
> JobState=PENDING Reason=Resources Dependency=(null)
> Requeue=1 Restarts=0 BatchFlag=0 Reboot=0 ExitCode=0:0
> DerivedExitCode=0:0
> RunTime=00:00:00 TimeLimit=02:00:00 TimeMin=N/A
> SubmitTime=2019-04-02T05:13:11 EligibleTime=2019-04-02T05:13:11
> StartTime=2019-04-02T07:13:05 EndTime=2019-04-02T09:13:05 Deadline=N/A
> PreemptTime=None SuspendTime=None SecsPreSuspend=0
> LastSchedEval=2019-04-02T05:20:44
> Partition=test-backfill AllocNode:Sid=computelab-frontend-03:21736
> ReqNodeList=computelab-134 ExcNodeList=(null)
> NodeList=(null) SchedNodeList=computelab-134
> NumNodes=1-1 NumCPUs=6 NumTasks=1 CPUs/Task=6 ReqB:S:C:T=0:0:*:*
> TRES=cpu=6,mem=32148M,node=1,gres/gpu=1,gres/gpu:gv100=1
> Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=*
> MinCPUsNode=6 MinMemoryNode=32148M MinTmpDiskNode=0
> Features=(null) DelayBoot=00:00:00
> Gres=gpu:gv100:1 Reservation=(null)
> OverSubscribe=OK Contiguous=0 Licenses=(null) Network=(null)
> Command=/bin/bash
> WorkDir=/home/rradmer
> Power=
>
> $ scontrol -d show job 100818
> JobId=100818 JobName=bash
> UserId=rradmer(27578) GroupId=hardware(30) MCS_label=N/A
> Priority=1 Nice=0 Account=cag QOS=normal
> JobState=PENDING Reason=Resources Dependency=(null)
> Requeue=1 Restarts=0 BatchFlag=0 Reboot=0 ExitCode=0:0
> DerivedExitCode=0:0
> RunTime=00:00:00 TimeLimit=02:00:00 TimeMin=N/A
> SubmitTime=2019-04-02T05:13:12 EligibleTime=2019-04-02T05:13:12
> StartTime=2019-04-02T09:13:00 EndTime=2019-04-02T11:13:00 Deadline=N/A
> PreemptTime=None SuspendTime=None SecsPreSuspend=0
> LastSchedEval=2019-04-02T05:21:32
> Partition=test-backfill AllocNode:Sid=computelab-frontend-02:12826
> ReqNodeList=computelab-134 ExcNodeList=(null)
> NodeList=(null) SchedNodeList=computelab-134
> NumNodes=1-1 NumCPUs=6 NumTasks=1 CPUs/Task=6 ReqB:S:C:T=0:0:*:*
> TRES=cpu=6,mem=32148M,node=1,gres/gpu=1,gres/gpu:tu104=1
> Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=*
> MinCPUsNode=6 MinMemoryNode=32148M MinTmpDiskNode=0
> Features=(null) DelayBoot=00:00:00
> Gres=gpu:tu104:1 Reservation=(null)
> OverSubscribe=OK Contiguous=0 Licenses=(null) Network=(null)
> Command=/bin/bash
> WorkDir=/home/rradmer
> Power=
>
>
> On Mon, Apr 1, 2019 at 11:24 PM Marcus Wagner
> <wagner at itc.rwth-aachen.de <mailto:wagner at itc.rwth-aachen.de>> wrote:
>
> Dear Randall,
>
> could you please also provide
>
>
> scontrol -d show node computelab-134
> scontrol -d show job 100091
> scontrol -d show job 100094
>
>
> Best
> Marcus
>
> On 4/1/19 4:31 PM, Randall Radmer wrote:
>>
>> I can’t get backfill to work for a machine with two GPUs (one is
>> a P4 and the other a T4).
>>
>> Submitting jobs works as expected: if the GPU I request is free,
>> then my job runs, otherwise it goes into a pending state. But if
>> I have pending jobs for one GPU ahead of pending jobs for the
>> other GPU, I see blocking issues.
>>
>>
>> More specifically, I can create a case where I am running a job
>> on each of the GPUs and have a pending job waiting for the P4
>> followed by a pending job waiting for a T4. I would expect that
>> if I exit the running T4 job, then backfill would start the
>> pending T4 job, even though it has to job ahead of the pending P4
>> job. This does not happen...
>>
>>
>> The following shows my jobs after I exited from a running T4 job,
>> which had ID 100092:
>>
>> $ squeue --noheader -u rradmer
>> --Format=jobid,state,gres,nodelist,reason | sed 's/ */ /g' | sort
>>
>> 100091 RUNNING gpu:gv100:1 computelab-134 None
>>
>> 100093 PENDING gpu:gv100:1 Resources
>>
>> 100094 PENDING gpu:tu104:1 Resources
>>
>>
>> I can find no reason why 100094 doesn’t start running (I’ve
>> waited up to an hour, just to make sure).
>>
>>
>> System config info and log snippets shown below.
>>
>>
>> Thanks much,
>>
>> Randy
>>
>>
>> Node state corresponding to the squeue command, shown above:
>>
>> $ scontrol show node computelab-134 | grep -i [gt]res
>>
>> Gres=gpu:gv100:1,gpu:tu104:1
>>
>> CfgTRES=cpu=12,mem=64307M,billing=12,gres/gpu=2,gres/gpu:gv100=1,gres/gpu:tu104=1
>>
>> AllocTRES=cpu=6,mem=32148M,gres/gpu=1,gres/gpu:gv100=1
>>
>>
>>
>> Slurm config follows:
>>
>> $ scontrol show conf | grep -Ei '(gres|^Sched|prio|vers)'
>>
>> AccountingStorageTRES =
>> cpu,mem,energy,node,billing,gres/gpu,gres/gpu:gp100,gres/gpu:gp104,gres/gpu:gv100,gres/gpu:tu102,gres/gpu:tu104,gres/gpu:tu106
>>
>> GresTypes = gpu
>>
>> PriorityParameters = (null)
>>
>> PriorityDecayHalfLife = 7-00:00:00
>>
>> PriorityCalcPeriod = 00:05:00
>>
>> PriorityFavorSmall = No
>>
>> PriorityFlags =
>>
>> PriorityMaxAge = 7-00:00:00
>>
>> PriorityUsageResetPeriod = NONE
>>
>> PriorityType = priority/multifactor
>>
>> PriorityWeightAge = 0
>>
>> PriorityWeightFairShare = 0
>>
>> PriorityWeightJobSize = 0
>>
>> PriorityWeightPartition = 0
>>
>> PriorityWeightQOS = 0
>>
>> PriorityWeightTRES = (null)
>>
>> PropagatePrioProcess = 0
>>
>> SchedulerParameters =
>> default_queue_depth=2000,bf_continue,bf_ignore_newly_avail_nodes,bf_max_job_test=1000,bf_window=10080,kill_invalid_depend
>>
>> SchedulerTimeSlice = 30 sec
>>
>> SchedulerType = sched/backfill
>>
>> SLURM_VERSION = 17.11.9-2
>>
>>
>> GPUs on node:
>>
>> $ nvidia-smi --query-gpu=index,name,gpu_bus_id --format=csv
>>
>> index, name, pci.bus_id
>>
>> 0, Tesla T4, 00000000:82:00.0
>>
>> 1, Tesla P4, 00000000:83:00.0
>>
>> The gres file on node:
>>
>> $ cat /etc/slurm/gres.conf
>>
>> Name=gpu Type=tu104 File=/dev/nvidia0 Cores=0,1,2,3,4,5
>>
>> Name=gpu Type=gp104 File=/dev/nvidia1 Cores=6,7,8,9,10,11
>>
>>
>> Random sample of SlurmSchedLogFile:
>>
>> $ sudo tail -3 slurm.sched.log
>>
>> [2019-04-01T08:14:23.727] sched: Running job scheduler
>>
>> [2019-04-01T08:14:23.728] sched: JobId=100093. State=PENDING.
>> Reason=Resources. Priority=1. Partition=test-backfill.
>>
>> [2019-04-01T08:14:23.728] sched: JobId=100094. State=PENDING.
>> Reason=Resources. Priority=1. Partition=test-backfill.
>>
>>
>> Random sample of SlurmctldLogFile:
>>
>> $ sudo grep backfill slurmctld.log | tail -5
>>
>> [2019-04-01T08:16:53.281] backfill: beginning
>>
>> [2019-04-01T08:16:53.281] backfill test for JobID=100093 Prio=1
>> Partition=test-backfill
>>
>> [2019-04-01T08:16:53.281] backfill test for JobID=100094 Prio=1
>> Partition=test-backfill
>>
>> [2019-04-01T08:16:53.281] backfill: reached end of job queue
>>
>> [2019-04-01T08:16:53.281] backfill: completed testing 2(2) jobs,
>> usec=707
>>
>
> --
> Marcus Wagner, Dipl.-Inf.
>
> IT Center
> Abteilung: Systeme und Betrieb
> RWTH Aachen University
> Seffenter Weg 23
> 52074 Aachen
> Tel: +49 241 80-24383
> Fax: +49 241 80-624383
> wagner at itc.rwth-aachen.de <mailto:wagner at itc.rwth-aachen.de>
> www.itc.rwth-aachen.de <http://www.itc.rwth-aachen.de>
>
--
Marcus Wagner, Dipl.-Inf.
IT Center
Abteilung: Systeme und Betrieb
RWTH Aachen University
Seffenter Weg 23
52074 Aachen
Tel: +49 241 80-24383
Fax: +49 241 80-624383
wagner at itc.rwth-aachen.de
www.itc.rwth-aachen.de
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