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====== Mpi4py ======

MPI for Python ([[http://mpi4py.scipy.org/docs/|mpi4py]]) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors.

This package is constructed on top of the MPI-1/2 specifications and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object, as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects)

===== Recipes =====
If you need to build a Python virtualenv based on a collection of Python modules including mpi4py, then you will need to follow this recipe to get a properly-integrated mpi4py module versus following details by cluster.

  * [[technical:recipes:mpi4py-in-virtualenv|Building a Python virtualenv with a properly-integrated mpi4py module]]
===== Details by cluster=====
  * [[software:mpi4py:caviness| Caviness]]
  * [[technical:recipes:mpi4py-in-virtualenv| DARWIN]]
  * [[software:mpi4py:farber| Farber]]
 
===== Additional Resources =====

  * [[https://mpi4py.readthedocs.io/en/stable/|MPI for Python Documentation]]
  * Cornell Virtual Workshop [[https://cvw.cac.cornell.edu/python/mpi4py|Python for High Performance: mpi4py]]
  * [[https://readthedocs.org/projects/mpi4py/downloads/pdf/latest/|MPI for Python - Read the Docs]]
  * [[http://www.tacc.utexas.edu/c/document_library/get_file?uuid=be16db01-57d9-4422-b5d5-17625445f351&groupId=13601|Introduction to mpi4py by TACC]]
  * [[https://github.com/jbornschein/mpi4py-examples|More mpi4py examples]]