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PBS job submission

Lesson 21/75

Submit a PBS job qsub

When you are new to PBS, the place to start is the qsub command, which submits jobs to your HPC systacems. The only jobs that the qsubaccepts are scripts, so you'll need to package your tasks appropriately. Here is a simple example script (pbs_test.job):

#!/bin/bash

#PBS -N PBS_TEST
#PBS -o /data/PBS_TEST.out
#PBS -e /data/PBS_TEST.err
#PBS -q workq
#PBS -l mem=50mb

/usr/bin/hostname
/bin/sleep 10

The first line specified the shell to use in interpreting the script, while the next few lines starting with #PBS are directives that are passed to PBS. The first names the job, the next two specify where output and error output go, the next to last identifies the queue that is used, and the last lists a resource that will be needed, in this case 100 MB of memory. The blank line signals the end of PBS directives. Lines that follow the blank line indicate the actual job (print the server hostname, which is slurmctld).

Once you have created the batch script for your job, the qsub command is used to submit the job. We have kept the job submission script in a shared folder called /data. Let's submit the job and see the statistics with qstat command.

qsub /data/pbs_test.job; qstat
Linux

Input

Let's now look at the output:

cat /data/PBS_TEST.out
Linux

Input

Options qsub

Some of the more commonly used qsub options are:

  • -q queue: Select the queue to run the job in. The queues you can use are listed by running qstat.
  • -l walltime=??:??:??: The wall clock time limit for the job. Time is expressed in seconds as an integer, or in the form: [[hours:]minutes:]seconds[.milliseconds]
  • -l vmem=???MB: The total (virtual) memory limit for the job - can be specified with units of "MB" or "GB" but only integer values can be given. There is a small default value. Your job will only run if there is sufficient free memory so making a sensible memory request will allow your jobs to run sooner. A little trial and error may be required to find how much memory your jobs are using.
  • -l ncpus=?: The number of cpus required for the job to run on.
  • -l ncpus=N: If the number of cpus requested, N, is small the job will run within a single shared memory node. If the number of cpus specified is greater, the job will be distributed over multiple nodes.
  • -l ncpus=N:M This form requests a total of N cpus with (a multiple of) M cpus per node. Note that -l options maybe combined as a comma separated list with no spaces, e.g., -l vmem=512mb,walltime=10:00:00.

The newer PBS (PBS Pro), comes with the concept of resource chunking using a select parameter, let's see another job submission script example:

#!/bin/bash
#PBS -P PBS_TEST
#PBS -q workq
#PBS -l select=1:ncpus=1:mpiprocs=1
#PBS -l place=scatter:excl
#PBS -l walltime=00:01:00
#PBS -o /data/PBS_TEST.out
#PBS -e /data/PBS_TEST.err

/usr/bin/hostanme

Where the line -l select=1:ncpus=1:mpiprocs=1 is the number of processors required for the MPI job. select specifies the number of nodes (or chunks of resource) required; ncpus indicates the number of CPUs per chunk required; and mpiprocs represents the number of MPI processes to run out of the CPUs selected (normally ncpus would equal mpiprocs).

As this is not the most intuitive command, the following table is provided as guidance as to how this command works:

selectncpusmpiprocsDescription
2161632 Processor job, using 2 nodes and 16 processors per node
48832 Processor job, using 4 nodes and 8 processors per node
161116 Processor job, using 16 nodes running 1mpi process per processor and utilising 1 processor per node
81616128 Processor job, using 8 nodes and 16 processors per node (each running an mpi process)

PBS interactive jobs

Use of PBS is not limited to batch jobs only. It also allows users to use the compute nodes interactively, when needed. For example, users can work with the developer environments provided by Matlab or R on compute nodes, and run their jobs (until the walltime expires).

Instead of preparing a submission script, users pass the job requirements directly to the qsub command:

qsub -I -X -q workq -l nodes=7:ppn=4,walltime=15:00:00,mem=2gb

Here, -I (as in 'I'ndia) stands for 'interactive' and -X allows for GUI applications. the PBS scheduler will allocate 7*4=28 cores to the user as soon as nodes with given specifications become available, then automatically log the user into one of the compute nodes. From now on, the user can work interactively using these cores until the walltime expires. Note that there should be no space between the parameters being passed to -l (as in 'L'ima) flag, only commas!

Class Lessons

Introduction Introduction to scientific comput    Virtual cluster    Cluster Computing Cluster computers Cluster computer components How to access? Data transfer Linux Foundation for Scientific C Introduction File and folder commands Display contents of a file    Wildcards    Redirection and pipes File system security access Processes and Jobs Useful UNIX commands    Compiling UNIX software packages Scientific Software Scientific software stack Software modules Scheduling jobs Portable Batch System Introduction to PBS PBS basic commads PBS job submission    PBS Statistics PBS jobs management PBS job states PBS variables PBS job arrays SLURM - Workload Manager Introduction to Slurm Slurm commands Slurm job submission    Slurm array job    C/C++ Foundation Variables, Literals and Constants Data Types Input and Output Operators Comments    Conditions Switch Loops Goto Functions Recursion Arrays Strings Structures Pointers C++ STL STL Vectors Lists Map Queue Set Stacks Pair C++ OpenMP OpenMP OpenMP- Hello world!    Open MP - reduction OpenMP - section C++ MPI (Message Passing Interfac MPI - Message Passing Interface MPI program structure MPI - Hello world! MPI send and receive C++ CUDA GPUs - graphics processing units CUDA programming overview CUDA Threads, Blocks and Grid CUDA memory model CUDA Kernel CUDA Hello world! CUDA square an array of numbers CUDA vector addition CUDA matrix multiplication C++ Boost Library Boost Boost Multiprecision C++ Scientific Computing MKL - Matrix Multiplication LAPACK - Linear Algebra Conclusion Conclusion and further readings

Quiz

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