Just to follow up, I filed a medium bug report with schedmd on this: https://bugs.schedmd.com/show_bug.cgi?id=6763
Best, Peter On 3/25/19 10:30 AM, Peter Steinbach wrote:
Dear all, Using these config files,https://github.com/psteinb/docker-centos7-slurm/blob/7bdb89161febacfd2dbbcb3c5684336fb73d7608/gres.confhttps://github.com/psteinb/docker-centos7-slurm/blob/7bdb89161febacfd2dbbcb3c5684336fb73d7608/slurm.confI observed a weird behavior of the '--gres-flags=disable-binding' option. With the above .conf files, I created a local slurm cluster with 3 computes (2 GPUs and 4 cores each).# sinfo -N -l Mon Mar 25 09:20:59 2019NODELIST NODES PARTITION STATE CPUS S:C:T MEMORY TMP_DISK WEIGHT AVAIL_FE REASON g1 1 gpu* idle 4 1:4:1 4000 0 1 (null) none g2 1 gpu* idle 4 1:4:1 4000 0 1 (null) none g3 1 gpu* idle 4 1:4:1 4000 0 1 (null) noneI first submitted 3 jobs that consume all available GPUs:# sbatch --gres=gpu:2 --wrap="env && sleep 600" -o block_2gpus_%A.out --mem=500Submitted batch job 2# sbatch --gres=gpu:2 --wrap="env && sleep 600" -o block_2gpus_%A.out --mem=500Submitted batch job 3# sbatch --gres=gpu:2 --wrap="env && sleep 600" -o block_2gpus_%A.out --mem=500Submitted batch job 4 # squeueJOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)5 gpu wrap root R 0:04 1 g1 6 gpu wrap root R 0:01 1 g2 7 gpu wrap root R 0:01 1 g3Funny enough, if I send a job with only one gpu and add --gres-flags=disable-binding it actually starts running.# sbatch --gres=gpu:1 --wrap="env && sleep 30" -o use_1gpu_%A.out --mem=500 --gres-flags=disable-bindingSubmitted batch job 9 [root@ernie /]# squeueJOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)5 gpu wrap root R 1:44 1 g1 6 gpu wrap root R 1:41 1 g2 7 gpu wrap root R 1:41 1 g3 9 gpu wrap root R 0:02 1 g1I am not sure what to think of this. I consider this behavior not ideal as our users reported that their jobs die due to insufficient GPU memory avialble. Which is obvious, as the already present GPU jobs are using the GPUs (as they should).I am a bit lost here. slurm is as clever as to NOT SET CUDA_VISIBLE_DEVICES for the job that has '--gres-flags=disable-binding', but that doesn't help our users.Personally, I believe this is a bug, but I would love to get feedback from other slurm users/developers.Thanks in advance - P # scontrol show Nodes g1 NodeName=g1 CoresPerSocket=4 CPUAlloc=1 CPUTot=4 CPULoad=N/A AvailableFeatures=(null) ActiveFeatures=(null) Gres=gpu:titanxp:2 NodeAddr=127.0.0.1 NodeHostName=localhost Port=0 RealMemory=4000 AllocMem=500 FreeMem=N/A Sockets=1 Boards=1 State=MIXED ThreadsPerCore=1 TmpDisk=0 Weight=1 Owner=N/A MCS_label=N/A Partitions=gpu BootTime=2019-03-18T10:14:18 SlurmdStartTime=2019-03-25T09:20:57 CfgTRES=cpu=4,mem=4000M,billing=4 AllocTRES=cpu=1,mem=500M CapWatts=n/a CurrentWatts=0 LowestJoules=0 ConsumedJoules=0 ExtSensorsJoules=n/s ExtSensorsWatts=0 ExtSensorsTemp=n/s JobId=5 JobName=wrap UserId=root(0) GroupId=root(0) MCS_label=N/A Priority=4294901756 Nice=0 Account=(null) QOS=normal JobState=RUNNING Reason=None Dependency=(null) Requeue=1 Restarts=0 BatchFlag=1 Reboot=0 ExitCode=0:0 DerivedExitCode=0:0 RunTime=00:06:30 TimeLimit=5-00:00:00 TimeMin=N/A SubmitTime=2019-03-25T09:23:13 EligibleTime=2019-03-25T09:23:13 AccrueTime=Unknown StartTime=2019-03-25T09:23:13 EndTime=2019-03-30T09:23:13 Deadline=N/A PreemptTime=None SuspendTime=None SecsPreSuspend=0 LastSchedEval=2019-03-25T09:23:13 Partition=gpu AllocNode:Sid=ernie:1 ReqNodeList=(null) ExcNodeList=(null) NodeList=g1 BatchHost=localhost NumNodes=1 NumCPUs=1 NumTasks=1 CPUs/Task=1 ReqB:S:C:T=0:0:*:* TRES=cpu=1,mem=500M,node=1,billing=1 Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=* Nodes=g1 CPU_IDs=0 Mem=500 GRES_IDX=gpu(IDX:0-1) MinCPUsNode=1 MinMemoryNode=500M MinTmpDiskNode=0 Features=(null) DelayBoot=00:00:00 OverSubscribe=OK Contiguous=0 Licenses=(null) Network=(null) Command=(null) WorkDir=/ StdErr=//block_2gpus_5.out StdIn=/dev/null StdOut=//block_2gpus_5.out Power= TresPerNode=gpu:2 JobId=10 JobName=wrap UserId=root(0) GroupId=root(0) MCS_label=N/A Priority=4294901751 Nice=0 Account=(null) QOS=normal JobState=RUNNING Reason=None Dependency=(null) Requeue=1 Restarts=0 BatchFlag=1 Reboot=0 ExitCode=0:0 DerivedExitCode=0:0 RunTime=00:00:07 TimeLimit=5-00:00:00 TimeMin=N/A SubmitTime=2019-03-25T09:29:12 EligibleTime=2019-03-25T09:29:12 AccrueTime=Unknown StartTime=2019-03-25T09:29:12 EndTime=2019-03-30T09:29:12 Deadline=N/A PreemptTime=None SuspendTime=None SecsPreSuspend=0 LastSchedEval=2019-03-25T09:29:12 Partition=gpu AllocNode:Sid=ernie:1 ReqNodeList=(null) ExcNodeList=(null) NodeList=g1 BatchHost=localhost NumNodes=1 NumCPUs=1 NumTasks=1 CPUs/Task=1 ReqB:S:C:T=0:0:*:* TRES=cpu=1,mem=500M,node=1,billing=1 Socks/Node=* NtasksPerN:B:S:C=0:0:*:* CoreSpec=* Nodes=g1 CPU_IDs=1 Mem=500 GRES_IDX=gpu(IDX:) MinCPUsNode=1 MinMemoryNode=500M MinTmpDiskNode=0 Features=(null) DelayBoot=00:00:00 OverSubscribe=OK Contiguous=0 Licenses=(null) Network=(null) Command=(null) WorkDir=/ StdErr=//use_1gpu_10.out StdIn=/dev/null StdOut=//use_1gpu_10.out Power= GresEnforceBind=No TresPerNode=gpu:1
-- Peter Steinbach, Dr. rer. nat. Scientific Software Engineer, Scientific Computing Facility Max Planck Institute of Molecular Cell Biology and Genetics Pfotenhauerstr. 108 01307 Dresden Germany phone +49 351 210 2882 fax +49 351 210 1689 twitter psteinb_ www.mpi-cbg.de
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