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documentation for aborting parallel PyMeep jobs #1184

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Apr 18, 2020
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documentation for aborting parallel PyMeep jobs #1184

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f1503d0
documentation for aborting parallel PyMeep jobs
oskooi Apr 16, 2020
c68be1f
fix
oskooi Apr 16, 2020
66d462c
revert to -np (instead of -n)
oskooi Apr 18, 2020
5da3cb1
Update Parallel_Meep.md
stevengj Apr 18, 2020
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5 changes: 5 additions & 0 deletions doc/docs/Parallel_Meep.md
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Expand Up @@ -40,6 +40,11 @@ For a potential improvement in [load balancing](FAQ.md#should-i-expect-linear-sp

In general, you cannot run Meep interactively on multiple processors.

**Warning:** when running a parallel PyMeep job, the failure of any one MPI process may cause the simulation to deadlock and not abort. This is due to a [behavior of `mpi4py`](https://mpi4py.readthedocs.io/en/stable/mpi4py.run.html). To avoid having to manually kill all the remaining processes, a simple solution is to load the `mpi4py` module (for versions 3.0+) on the `mpirun` command line:
```sh
mpirun -np 4 python -m mpi4py foo.py
```

### Different Forms of Parallelization

Parallel Meep works by taking your simulation and dividing the cell among the MPI processes. This is the only way of parallelizing a single simulation and enables simulating very large problems.
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2 changes: 1 addition & 1 deletion scheme/Makefile.am
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Expand Up @@ -56,7 +56,7 @@ meep-enums.scm: meep_enum_renames.i
##############################################################################

# what is printed out when invoking your program with --version:
VERSION_STRING = "Meep @VERSION@, Copyright (C) 2005-2020 Massachusetts Insitute of Technology."
VERSION_STRING = "Meep @VERSION@, Copyright (C) 2005-2020 Massachusetts Institute of Technology."

MY_DEFS = -DHAVE_CTL_HOOKS=1 -DHAVE_CTL_EXPORT_HOOK=1

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