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On Mount Moran, the default limits were specifically represented by concurrently used cores by each project account. Investors received an increase in concurrent core usage capability. To facilitate more flexible scheduling for all research groups, ARCC is looking at implementing limits based on concurrent usage of cores, memory, and walltime of jobs. This will be defined in the near future and will be subject to the FAC review.
Commands
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title | Click to View - Commands |
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sacct
Query detailed information about the job that has completed. Use this utility to get information about running or completed jobs
salloc
Request in an interactive job for debugging and/or interactive computing. ARCC configures the salloc command to launch an interactive shell on individual compute nodes with your current environment carried over from the current session (except in the dgx partition where the environment is reinitialized for Ubuntu). This command requires specifying a project account (-A--account=) and walltime (-t--time=).
sbatch
Submit a batch job consisting of a single job or job array. Several methods can be used to submit batch jobs. A script file can be used and provided as an argument on the command line. Alternatively, and rarer, the use of standard input can be used and the batch job can be created interactively. We recommend writing the batch job in a script so that it may be referenced at a later time.
scancel
Cancel jobs after submission. Works on pending and running jobs. By default, provide a jobid or set of jobids to cancel. Alternatively, one can use sets of flags to cancel specific jobs relating to the account, name, partition, qos, reservation, nodelist. To cancel all array tasks, specify the parent jobid.
sinfo
View the status of the Slurm partitions or nodes. Status of nodes that are drained can be seen using the -R flag.
squeue
View what is running or waiting to run in the job queue. Several modifiers and formats can be supplied to the command. You may be interested in the use of arccq as an alternative. The command arccjobs also provides a summary.
sreport
Obtain information regarding usage since the last database roll up (usually around midnight each day). sreport can be used as an interactive tool to see the usage of the clusters.
srun
A front-end launcher for job steps which includes serial and parallel jobs. srun can be considered an equivalent to mpirun or mpiexec when launching MPI jobs. Using srun inside a job is defined to be a job step that provides accounting information relating to memory, cpu time, and other parameters that are valuable when a job terminates unexpectedly or historical information is needed.
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There are some additional commands, however, they'll not be mentioned here because they're not that useful on our system for general users. It's important to note that reading the man pages on the Slurm commands can be highly beneficial and if you have questions, ARCC encourages you to request information on submitting jobs to arcc-help@uwyo.edu. |
Batch Jobs
Batch jobs are jobs that are submitted via job script or commands that are input into the sbatch command interactively which will then enter the queueing system and prepare for the execution, then execute when possible. The execution could start immediately if the queue is not completely full, start after a short time period if preemption opted for, or after extensive time if the queue is full or running limits are already reached.
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sacctmgr modify account <project name> where cluster=teton set qos-=long-jobs-14 |
Examples
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Click to View - |
Examples
Example 1
In the following example, we use the ARCC as our project example. We want to give ARCC access to run longer jobs. We assume that the "long-jobs-14" QOS has been previously been created.
We run the command "assoc" which return the following definition for ARCC from the slurm database:
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Account User Def QOS QOS
-------------------- ---------- --------- --------------------
inv-arcc arcc arcc,normal
arcc arcc arcc,normal
arcc awillou2 arcc arcc,normal
arcc dperkin6 arcc arcc,normal
arcc jbaker2 arcc arcc,normal
arcc jrlang arcc arcc,normal
arcc mkillean arcc arcc,normal
arcc powerman arcc arcc,normal
arcc salexan5 arcc arcc,normal |
This shows the default configuration for the QOS setup, "arcc" being the default QOS all arcc jobs run under. While :arcc: project users have access to either the "normal" or "arcc" QOS.
We want to give the "arcc" project access to the 14-day job runtime feature, we do this by adding the proper QOS to the ARCC project
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sacctmgr modify account arcc where cluster=teton set qos+=long-jobs-14 |
To verify the QOS has been added to the "arcc" project we run the "assoc" command as root
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Account User Def QOS QOS
-------------------- ---------- --------- --------------------
inv-arcc arcc arcc,normal
arcc arcc arcc,long-job-14,norm+
arcc awillou2 arcc arcc,long-job-14,norm+
arcc dperkin6 arcc arcc,long-job-14,norm+
arcc jbaker2 arcc arcc,long-job-14,norm+
arcc jrlang arcc arcc,long-job-14,norm+
arcc mkillean arcc arcc,long-job-14,norm+
arcc powerman arcc arcc,long-job-14,norm+
arcc salexan5 arcc arcc,long-job-14,norm+ |
Notes
Do we advertise this?
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Keep it under wraps for now since this will be allowed on a per request basis. |
How do we stop people from abusing it?
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There are a couple of things in place to keep from abusing this: |
We allow only a maximum of 10 jobs running under this QOS ARCC must enable access to the long-job-14 QOS.
By default, we don't attach this QOS to projects. Once the requirement for the project to run long jobs is over we will remove the QOS from the project.
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Trouble Shooting
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Trouble Shooting
Node won't come online
If a node won't come online for some reason check the node information for a slurm reason. run
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scontrol show node=XXX |
The command output should include a reason for why slurm won't bring the node online. As an example:
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root@tmgt1:/apps/s/lenovo/dsa# scontrol show node=mtest2
NodeName=mtest2 Arch=x86_64 CoresPerSocket=10
CPUAlloc=0 CPUTot=20 CPULoad=0.02
AvailableFeatures=ib,dau,haswell,arcc
ActiveFeatures=ib,dau,haswell,arcc
Gres=(null)
NodeAddr=mtest2 NodeHostName=mtest2 Version=18.08
OS=Linux 3.10.0-693.21.1.el7.x86_64 #1 SMP Fri Feb 23 18:54:16 UTC 2018
RealMemory=64000 AllocMem=0 FreeMem=55805 Sockets=2 Boards=1
State=IDLE+DRAIN ThreadsPerCore=1 TmpDisk=0 Weight=1 Owner=N/A MCS_label=N/A
Partitions=arcc
BootTime=06.08-11:44:57 SlurmdStartTime=06.08-11:47:35
CfgTRES=cpu=20,mem=62.50G,billing=20
AllocTRES=
CapWatts=n/a
CurrentWatts=0 LowestJoules=0 ConsumedJoules=0
ExtSensorsJoules=n/s ExtSensorsWatts=0 ExtSensorsTemp=n/s
Reason=Low RealMemory [slurm@06.10-10:00:27] |
This indicates that the memory definition for the node and what Slurm actually found are different. You can use
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free -m |
to see what the system thinks it has in terms of memory.
The node definition should have a memory definition less or equal to the total showed by the "free" command. You should verify that the settings are correct for the memory the node should have. If not, investigate and determine why the discrepancy.
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Configuring Slurm for Investments
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Configuring Slurm for Investments
The Teton cluster is the University of Wyoming's Condo cluster which provides computing resources to the general UW research community. Being a condo cluster researchers can invest funds into the cluster in order to expand its functionality. As an investor, a researcher is afforded special privileges specifically first access to the nodes their funds purchased.
To establish an investment within Slurm follow the following steps:
First, define an investor partition that refers to the purchased nodes. Create the partition definition, edit /apps/s/slurm/latest/etc/partitions-invest.conf. Add
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# Comment describing the investment
PartitionName=inv-<investment-name> AllowQos=<investment-name> \
Default=No \
Priority=10 \
State=UP \
Nodes=<nodelist> \
PreemptMode=off \
TRESBillingWeights="CPU=1.0,Mem=.00025"
Where: |
investment-name is the name you wish to call the new investment
nodelist is the list of nodes to be included in the investment definition, i.e. t[305-315],t317
Adjust the TRESBillingWeights accordingly based on the node specifications
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Note: The nodes should also be added to the general partition list, i.e. teton |
Once you have checked and re-checked your work for correctness configure slurm with the new partition definition:
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scontrol reconfigure |
For the following you will need access to two ARCC created commands:
add_slurm_inv
add_project_to_inv
Now that you have the investor partition setup you need to create the associated Slurm DB entries. First, run
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/root/bin/idm_scripts/add_slurm_inv inv-<investment-name> |
This will create the investor umbrella account that ties the investment to projects.
Now add the investor project to the investor umbrella account.
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/root/bin/idm_scripts/add_proj_to_inv inv-<investment-name> <project> |
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