pyclmuapp on HPC: Python ================ Docker are not always available on HPC. Singularity is a container software usually employed in **HPC** (High performance computer). It provides a mechanism to run containers where containers can be used to package entire scientific workflows, software and libraries, and even data. Ref: https://ri.itservices.manchester.ac.uk/csf3/software/applications/singularity/ A quick look for python scripts of pyclmuapp ``singularity`` mode. Note! We recommend to use the ``singularity`` mode on HPC, and install `pyclmuapp` from source code (There is some configuration changed, which is not upadted to Pypi). **Note**: must download the image in current directory first before running the command. .. code-block:: bash pyclmuapp --has_container False --container_type singularity --init True .. code-block:: python from pyclmuapp import usp_clmu # initialize o = usp_clmu(container_type='singularity') # important to define the container_type. The default is docker # the clmu-app_1.0.sif image will be download from docker hub at the current work dir. # o.docker(cmd="pull", cmdlogfile="None",) # This will pull the image from the docker hub if you not have a local image # other parameters are available, see the Python API documentation # no need to o.docker(cmd="run") for singularity # then same as usually o.check_surf_data() o.check_domain_data() o.check_forcing_data( usr_forcing="provided_forcing_netcdf_file.nc") original = o.run( ouptname="_clm.nc", case_name="usp_case", RUN_STARTDATE="2012-08-08", STOP_OPTION="ndays", STOP_N="10", iflog=True, logfile="log.log", crun_type="usp-exec" # ) print(original) How to run the python in HPC? ----------------------------- HPC usually uses batch system like - Manchester csf3 (The Computational Shared Facility 3) : https://ri.itservices.manchester.ac.uk/csf3/batch/ - UK ARHCER2 : https://docs.archer2.ac.uk/user-guide/scheduler/ A quick look for Manchester csf3 batch scripts, e.g., named as job_pyclmuapp.sh .. code-block:: bash #!/bin/bash --login #$ -cwd #$ -pe smp.pe 2 # activate conda env source activate pyclmuapp python your_python_script_path.py Then submit to the batch system by .. code-block:: bash qsub job_pyclmuapp.sh .. note:: ``singularity`` mode is slightly different from ``docker`` mode. The image is usually downloaded from docker hub at the current work dir.