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Rename "doc" folder to "docs". This is standard for ReadTheDocs
Signed-off-by: Bob Yantosca <yantosca@seas.harvard.edu>
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Bonus: Running GEOS-Chem High Performance (GCHP) | ||
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GCHP is also fully functioning on the cloud. Running it on a single EC2 instance (equivalent to a single node on HPC clusters) is extremely easy. The biggest instance on AWS is ``x1.32xlarge`` with `64 physical cores <https://aws.amazon.com/ec2/physicalcores/>`_ and 2 TB memory. (Multi-node setup is quite cumbersome right now and we are actively looking into this.) | ||
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Go to the pre-configured run directory:: | ||
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$ cd ~/tutorial/gchp_standard | ||
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Just run the pre-compiled the model by:: | ||
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$ mpirun -np 6 -oversubscribe ./geos | ||
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``-oversubscribe`` is needed when the number of physical cores is less than the number of MPI processes (6 here). No need for this option on bigger instances. | ||
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.. warning:: | ||
Make sure that the geoscience Python environment is **deactivated** (``source deactivate geo``) before calling ``mpirun``. Otherwise the incorrect ``mpirun`` coming with Anaconda will be used. Use ``which mpirun`` and ``mpirun --version`` to make sure the correct executable is called. It should be OpenMPI 3 at ``/usr/local/bin/mpirun``. | ||
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Remember to use ``r5.2xlarge`` or even bigger instances, otherwise the run will crash at the middle due to inadequate memory. | ||
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After a successful run (takes ~10 min), GCHP also produces NetCDF diagnostics inside ``OutputDir/`` of the run directory. Again a pre-generated output file is already contained in the AMI. Use this :doc:`example notebook <../chapter06_appendix/plot_GCHP_data>` located at ``~/tutorial/python_example/plot_GCHP.ipynb`` to plot GCHP output data directly on the native `Cubed-Sphere grid <http://acmg.seas.harvard.edu/geos/cubed_sphere.html>`_. | ||
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See https://github.com/lizziel/geoschem_data_visualization for more comprehensive examples of GCHP data analysis. See `GCHP main page <http://wiki.seas.harvard.edu/geos-chem/index.php/GEOS-Chem_HP>`_ for more tutorials on GCHP. | ||
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