mpi4py 2.0.0

Features

This package supports:

• Convenient communication of any picklable Python object

  • point-to-point (send & receive)

  • collective (broadcast, scatter & gather, reductions)

• Fast communication of Python object exposing the Python buffer interface (NumPy arrays, builtin bytes/string/array objects)

  • point-to-point (blocking/nonbloking/persistent send & receive)

  • collective (broadcast, block/vector scatter & gather, reductions)

• Process groups and communication domains

  • Creation of new intra/inter communicators

  • Cartesian & graph topologies

• Parallel input/output:

  • read & write

  • blocking/nonbloking & collective/noncollective

  • individual/shared file pointers & explicit offset

• Dynamic process management

  • spawn & spawn multiple

  • accept/connect

  • name publishing & lookup

• One-sided operations

  • remote memory access (put, get, accumulate)

  • passive target syncronization (start/complete & post/wait)

  • active target syncronization (lock & unlock)

Install

Once you have a working MPI implementation and the mpicc compiler wrapper is on your search path, you can install this package

• using pip:

  $ pip install mpi4py

• using easy_install (deprecated):

  $ easy_install mpi4py

You can also install the in-development version of mpi4py

• using pip:

  $ pip install git+https://bitbucket.org/mpi4py/mpi4py

  or:

  $ pip install https://bitbucket.org/mpi4py/mpi4py/get/master.tar.gz

• using easy_install (deprecated):

  $ easy_install git+https://bitbucket.org/mpi4py/mpi4py

  or:

  $ easy_install https://bitbucket.org/mpi4py/mpi4py/get/master.tar.gz

You can also install it directly on Fedora and RHEL (and their derivatives) using the EPEL software repository

• using yum and the openmpi package on x86_64:

  # yum install mpi4py-openmpi

• using yum and the mpich package on x86_64:

  # yum install mpi4py-mpich

Please remember to load the correct module for your choosen MPI environment

• for openmpi package on x86_64 do:

  $ module load mpi/openmpi-x86_64
  $ python -c "import mpi4py"

• for mpich package on x86_64 do:

  $ module load mpi/mpich-x86_64
  $ python -c "import mpi4py"

  Note however, that the later doesn’t work on RHEL (and their derivatives) because of this bug and you need to manually adjust your PYTHONPATH accordingly.

Citations

If MPI for Python been significant to a project that leads to an academic publication, please acknowledge that fact by citing the project.

• L. Dalcin, P. Kler, R. Paz, and A. Cosimo, Parallel Distributed Computing using Python, Advances in Water Resources, 34(9):1124-1139, 2011. http://dx.doi.org/10.1016/j.advwatres.2011.04.013

• L. Dalcin, R. Paz, M. Storti, and J. D’Elia, MPI for Python: performance improvements and MPI-2 extensions, Journal of Parallel and Distributed Computing, 68(5):655-662, 2008. http://dx.doi.org/10.1016/j.jpdc.2007.09.005

• L. Dalcin, R. Paz, and M. Storti, MPI for Python, Journal of Parallel and Distributed Computing, 65(9):1108-1115, 2005. http://dx.doi.org/10.1016/j.jpdc.2005.03.010