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GrADS version 2.2.1 introduces a new C-language Python extension, called GradsPy (GrADS - Python Interface).

The interface has a few components: a C program called gradspy.c, a Python script called, and a build of GrADS that is compiled as a dynamically loading library, called (or libgradspy.dylib). The libgradspy.* files are generated along with the regular binary executables when compiling GrADS.

How to use

You can check the versions installed in Gadi with a module query:

$ module avail gradspy

We normally recommend using the latest version available and always recommend to specify the version number with the module command:

$ module load gradspy/2.2.1

For more details on using modules see our software applications guide.

An example PBS job submission script named is provided below.

It requests 1 CPU, 2 GiB memory, and 8 GiB local disk on a compute node on Gadi from the normal queue for 30 minutes against the project a00. It also requests the system to enter the working directory once the job is started. This script should be saved in the working directory from which the analysis will be done.

To change the number of CPU cores, memory, or jobfs required, simply modify the appropriate PBS resource requests at the top of this file according to the information in our queue structure guide.

Note that if your application does not work in parallel, setting the number of CPU cores to 1 and changing the memory and jobfs accordingly is required to prevent the compute resource waste.

#PBS -P a00
#PBS -q normal
#PBS -l ncpus=1
#PBS -l mem=2GB
#PBS -l jobfs=8GB
#PBS -l walltime=00:30:00
#PBS -l wd
# Load module, always specify version number.
module load gradspy/2.2.1 # This also loads python2/2.7.17 module
# Must include `#PBS -l storage=scratch/ab12+gdata/yz98` if the job
# needs access to `/scratch/ab12/` and `/g/data/yz98/`
# Run GradsPy application

For more information about GradsPy syntax to be used in gradspy_script.py

To run the job you would use the PBS command:

$ qsub

Authors: Mohsin Ali
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