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User@mini:$ mpirun -np 20-hostfile / hosts hostname-There are not enough slots available in the system to satisfy the 20 slots that were requested by the application: hostname This is behavior is unique to OpenMPI.

From charlesreid1

Main Jupyter page: Jupyter

ipyparallel documentation: https://ipyparallel.readthedocs.io/en/latest/

• 1Steps
• 2Problems

Steps

Install OpenMPI

Start by installing OpenMPI:

Install Necessary Notebook Modules

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Install the mpi4py library:

Install the ipyparallel notebook extension:

Start MPI Cluster

Then start an MPI cluster using ipcluster:

The output should look like this:

Start cluster with MPI (failures)

If you do pass an --engines flag, though, it could be problematic:

To solve this problem, you'll need to create an iPython profile, which iPython parallel can then load up. You'll also add some info in the config file for the profile to specify that MPI should be used to start any clusters.

Link to documentation with description: https://ipyparallel.readthedocs.io/en/stable/process.html#using-ipcluster-in-mpiexec-mpirun-mode

then

then add the line

then start ipcluster (creates the cluster for iPython parallel to use) and tell it to use the mpirun program.

If it is still giving you trouble, try dumping debug info:

This is still not working... more info: https://stackoverflow.com/questions/33614100/setting-up-a-distributed-ipython-ipyparallel-mpi-cluster#33671604

Thought I just forgot to run a controller, but this doesn't help fix anything:

FINALLY, adding debug info helped track down what the problem was: specifying 4 procs on a 2 proc system.

Start cluster with MPI (success)

The cluster runs when I change to:

and when I connect to the cluster using:

Problems sharing a variable using px magic

Ideally, we want something like this to work:

then:

However, this fails.

Documentation:

• Suggests answer may be push/pull?
• Gives px example with variable assignment: https://github.com/ipython/ipyparallel/blob/527dfc6c7b7702fb159751588a5d5a11d8dd2c4f/docs/source/magics.rst

More hints, but nothing solid: https://github.com/ipython/ipyparallel/blob/1cc0f67ba12a4c18be74384800aa906bc89d4dd3/docs/source/direct.rst

Original notebook: https://github.com/charlesreid1/ipython-in-depth/blob/master/examples/Parallel%20Computing/Using%20Dill.ipynb

ipython parallel built in magic (mentions px magic, but no examples):

• Cell magic: https://ipython.readthedocs.io/en/stable/interactive/magics.html#cell-magics
• All magic: https://ipyparallel.readthedocs.io/en/latest/magics.html

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Notebook to illustrate ipython usage of pxlocal: https://nbviewer.jupyter.org/gist/minrk/4470122

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