Difference between revisions of "TORQUE/Maui"
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More information on these commands (and others!) can be found in the [http://docs.adaptivecomputing.com/torque/4-1-3/help.htm TORQUE Administrator's Guide]. | More information on these commands (and others!) can be found in the [http://docs.adaptivecomputing.com/torque/4-1-3/help.htm TORQUE Administrator's Guide]. | ||
− | Also, when you are running a job on a node, you CAN ssh into that node like normal. This will like you do things like <code>top</code>, and <code>ps</code>. However, when your job finishes, the node will forcibly evict you (so don't have many things open when your job is about to finish)! | + | Also, when you are running a job on a node, you CAN <code>ssh</code> into that node like normal. This will like you do things like <code>top</code>, and <code>ps</code>. However, when your job finishes, the node will forcibly evict you (so don't have many things open when your job is about to finish)! |
+ | |||
+ | '''NOTE:''' If you are running two jobs on a node and one ends, you will be forcibly evicted from the node if you are logged in to it. However, your other job will keep running and you can merely re-login in to the node if you want to. I'll try to have this figured out sometime in the future. | ||
==Examples== | ==Examples== |
Revision as of 03:30, 20 January 2013
Contents
Overview
The UT NE Cluster now uses TORQUE for job submission and Maui for job scheduling. For the user who is used to going to Ganglia, selecting an underutilized node, logging into that node, and manually managing their job this will be a large change. This Wiki article will give a brief overview of how TORQUE/Maui are implemented on our cluster, how to use the commands to manage your job, and some examples with codes that are in common use on the cluster.
Queue Structure
Currently we have 6 queues available on the cluster. Some are available to all users, and some are restricted to certain users. Here is a brief overview of the queues. Note that there are no default queues, you will have to specify a queue for every job you want to run. Some queues will line up closely with information on the Nodes page.
- gen1
These nodes line up with the AMD nodes on the cluster. There are currently 7 nodes in this queue and each node has 2 cores. These nodes are accessible for all users, and users may run interactive jobs on them.
- gen2
These nodes line up with the Core2Quad nodes on the cluster plus Ondrej's server node node18. There are currently 8 nodes in this queue and each node has 4 cores, EXCEPT node18 which has 8. These nodes are accessible for all users, and users may run interactive jobs on them.
- gen3
These nodes line up with the first generation Core i7 nodes on the cluster. There are currently 11 nodes in this queue and each node has 8 cores. Access to these nodes are restricted to users who have contacted the cluster admins with a reason to use this computational power, and users may NOT run interactive jobs on them.
- gen4
These nodes line up with the second generation (Sandy Bridge Core i7) nodes on the cluster. There are currently 3 nodes in this queue and each node has 8 cores. Access to these nodes are restricted to students with higher priority, large, computational tasks, and users may NOT run interactive jobs on them.
- corei7
This queue consists of both the gen3 and gen4 queues and have those associated restrictions.
- all
This queue consists of gen1-gen4 queues and have those associated restrictions.
It is somewhat preferable to stay within a queue since the nodes within a queue are usually homogeneous (except for Ondrej's node18). For example, if you ran a job in the corei7 queue, you could get some faster nodes and some slower nodes which will impact load balancing in MCNP. While the end product will still be faster, there will be some inefficiencies that the user should be aware of.
Job Submission
Job submission is done by the qsub
command. The easiest way to create a job is to create a job script and submit it to the queuing system. A job script is merely a text file with some #PBS directives and the command you want to run. Important variables are shown in the table below.
PBS Flag | Description | Example |
---|---|---|
-I (upper case i) | Runs the job interactively. This is somewhat similar to logging into a node the old way. | N/A |
-l (lower case l) | Defines the resources that you want for the job. This is probably one of the more important flags as it allows you to specific how many nodes you want, and how many processes you want on that node. | -l nodes=4:ppn=4 |
-N | Give the job a name. Not required, but it will name the screen output file and error file after the job name if it is given. | -N MyMCNPCase |
-q | What queue you want to submit the job to. | -q gen3 |
-V | Export your environment variables to the job. Needed most of the time for OpenMPI to work (PATH, etc.) | N/A |
Many other flags can be found in the Admin Guide for TORQUE.
Example Interactive Job
The following command requests all processors on an Intel Core2Quad core node (queue gen2). You can then use this node for various quick little tests, compiling, anything really. You don't have to request all the processors on the node, but if you plan on compiling or doing anything in parallel it's probably beneficial so that other people also don't come on your node at the same time.
shart6@necluster ~ $ qsub -I -V -q gen2 -l nodes=1:ppn=4 qsub: waiting for job 0.necluster.engr.utk.edu to start qsub: job 0.necluster.engr.utk.edu ready shart6@node2 ~ $ mpirun hostname node2 node2 node2 node2 shart6@node2 ~ $ logout qsub: job 0.necluster.engr.utk.edu completed
Two imporant things to note are:
- I used -V to pass through my environment variables to the interactive job (PATH, LD_LIBRARY_PATH, etc.)
- When I used mpirun in my job, I DID NOT need to specify -np or -machinefile. The job will inherently know what cores you have access to.
Example Script
The following script does the exact same things I did in the interactive job but non-interactively.
#!/bin/bash
#PBS -V
#PBS -l nodes=1:ppn=4
#PBS -q gen2
mpirun hostname
The job is then submitted with qsub directly. Since I didn't give a name, output (and error messages) will be in the form <scriptname>.o<job#> and <scriptname>.e<job#> respectively.
shart6@necluster ~/pbstest $ qsub myrun.sh 1.necluster.engr.utk.edu shart6@necluster ~/pbstest $ cat myrun.sh.o1 node2 node2 node2 node2
Job Control
There are numerous commands to control and view your job. Two of the big ones are:
- qdel <#> - Remove the job from the queue.
- qstat - View the queued jobs.
More information on these commands (and others!) can be found in the TORQUE Administrator's Guide.
Also, when you are running a job on a node, you CAN ssh
into that node like normal. This will like you do things like top
, and ps
. However, when your job finishes, the node will forcibly evict you (so don't have many things open when your job is about to finish)!
NOTE: If you are running two jobs on a node and one ends, you will be forcibly evicted from the node if you are logged in to it. However, your other job will keep running and you can merely re-login in to the node if you want to. I'll try to have this figured out sometime in the future.
Examples
MCNPX
Running MCNPX with the queuing system is relatively straightforward since MCNPX only uses MPI.
Here is an example script file where I run MCNPX on two nodes with 8 cores each.
#!/bin/bash
#PBS -q gen3
#PBS -V
#PBS -l nodes=2:ppn=8
cd $PBS_O_WORKDIR
mpirun mcnpx name=LWR_test_pin_old
Again, note how I DID NOT give mpirun -np or -machinefile, it determines this all automatically. Also, one other important thing is that I change to the directory $PBS_O_WORKDIR
before I execute any commands. This is because when your jobs starts, it doesn't start in any directory. You need to tell it to go to where your input files are for MCNPX. The shortcut for the directory where you invoked qsub
is $PBS_O_WORKDIR
.
One drawback is that TORQUE makes it difficult to monitor your job's output as it runs. The <jobname>.o<job#> file doesn't appear until the job has finished (or failed!). One way around this is to redirect your output to a file. This will have the output show up there as the job runs. As an example, we can change the run line above to redirect output to myjoboutput.txt:
mpirun mcnpx name=LWR_test_pin_old > myjoboutput.txt