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    This example runs PAUP on the input file input.nex that resides in the current working directory. A file (here we'll name it pbsjob) is created with the contents:

    #!/bin/bash
    #PBS -c s
    #PBS -j oe
    #PBS -m ae
    #PBS -N jobname
    #PBS -M jc123456@jcu.edu.au
    #PBS -l walltime=2000:00:00
    
    echo "------------------------------------------------------"
    echo " This job is allocated 1 cpu on "
    cat $PBS_NODEFILE
    echo "------------------------------------------------------"
    echo "PBS: Submitted to $PBS_QUEUE@$PBS_O_HOST"
    echo "PBS: Working directory is $PBS_O_WORKDIR"
    echo "PBS: Job identifier is $PBS_JOBID"
    echo "PBS: Job name is $PBS_JOBNAME"
    echo "------------------------------------------------------"
     
    cd $PBS_O_WORKDIR
    source /etc/profile.d/modules.sh
    module load paup
    paup -n input.nex
    

    To submit the job for execution on a HPRC compute node simply enter the command:

    qsub pbsjob

    If you know this job will require more than 4GB but less than 8GB of RAM, you could use the command:

    qsub -l nodes=1:ppn=2 pbsjob

    If you know this job will require more than 8GB but less than 16GB of RAM, you could use the command:

    qsub -l nodes=1:ppn=8 pbsjob

    The reason for the special cases (latter two) is to guarantee memory resources for your job. If memory on a node is overallocated, swap will be used. Job(s) that are actively using swap (disk) to simulate memory could take more than 1000 times longer to finish than a job running on dedicated memory. In most cases, this will mean your job will never finish.

    Error rendering macro 'deck'

    java.lang.NullPointerException

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