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<p class="MsoNormal">I could have missed a detail on my description, but we definitely don’t enable oversubscribe, or shared, or exclusiveuser. All three of those are set to “no” on all active queues.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Current subset of slurm.conf and squeue output:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">=====<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"># egrep '^PartitionName=(gpu|any-interactive) ' /etc/slurm/slurm.conf<o:p></o:p></p>
<p class="MsoNormal">PartitionName=gpu Default=NO MinNodes=1 DefaultTime=1-00:00:00 MaxTime=30-00:00:00 AllowGroups=ALL PriorityJobFactor=1 PriorityTier=1 DisableRootJobs=NO RootOnly=NO Hidden=NO Shared=NO GraceTime=0 PreemptMode=OFF ReqResv=NO DefMemPerCPU=2000
AllowAccounts=ALL AllowQos=ALL LLN=NO MaxCPUsPerNode=16 ExclusiveUser=NO OverSubscribe=NO OverTimeLimit=0 State=UP TRESBillingWeights=CPU=3.00,Mem=1.024G,GRES/gpu=30.00 Nodes=gpunode[001-004]<o:p></o:p></p>
<p class="MsoNormal">PartitionName=any-interactive Default=NO MinNodes=1 MaxNodes=4 DefaultTime=02:00:00 MaxTime=02:00:00 AllowGroups=ALL PriorityJobFactor=3 PriorityTier=1 DisableRootJobs=NO RootOnly=NO Hidden=NO Shared=NO GraceTime=0 PreemptMode=OFF ReqResv=NO
DefMemPerCPU=2000 AllowAccounts=ALL AllowQos=ALL LLN=NO MaxCPUsPerNode=12 ExclusiveUser=NO OverSubscribe=NO OverTimeLimit=0 State=UP TRESBillingWeights=CPU=3.00,Mem=1.024G,GRES/gpu=30.00 Nodes=node[001-040],gpunode[001-004]<o:p></o:p></p>
<p class="MsoNormal"># squeue -o "%6i %.15P %.10j %.5u %4C %5D %16R %6b" | grep gpunode002<o:p></o:p></p>
<p class="MsoNormal">778462 gpu CNN_GRU.sh miibr 1 1 gpunode002 gpu:1<o:p></o:p></p>
<p class="MsoNormal">778632 any-interactive bash rnour 1 1 gpunode002 N/A<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">=====<o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:12.0pt;color:black">From: </span></b><span style="font-size:12.0pt;color:black">slurm-users <slurm-users-bounces@lists.schedmd.com> on behalf of Relu Patrascu <relu@cs.toronto.edu><br>
<b>Reply-To: </b>Slurm User Community List <slurm-users@lists.schedmd.com><br>
<b>Date: </b>Wednesday, September 30, 2020 at 4:02 PM<br>
<b>To: </b>"slurm-users@lists.schedmd.com" <slurm-users@lists.schedmd.com><br>
<b>Subject: </b>Re: [slurm-users] Running gpu and cpu jobs on the same node</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p>If you don't use<b> </b>OverSubscribe then resources are not shared. What resources a job gets allocated is not available to other jobs, regardless of partition.<o:p></o:p></p>
<p>Relu<o:p></o:p></p>
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<p class="MsoNormal">On 2020-09-30 16:12, Ahmad Khalifa wrote:<o:p></o:p></p>
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<p class="MsoNormal">I have a machine with 4 rtx2080ti and a core i9. I submit jobs to it through MPI PMI2 (from Relion).
<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">If I use 5 MPI and 4 threads, then basically I'm using all 4 GPUs and 20 threads of my cpu. <o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">My question is, my current configuration allows submitting jobs to the same node, but with a different partition, but I'm not sure if I use #SBATCH --partition=cpu that the submitted jobs will only use the remaining 2 cores (4 threads)
or is it going to share resources with my gpu job?!<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Thanks. <o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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