Python bindings for MPI

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  • License: BSD License (BSD)
  • Author: Lisandro Dalcin
  • Maintainer: Lisandro Dalcin
  • Tags scientific computing, parallel computing, message passing interface, MPI
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Project description

This package provides Python bindings for the Message Passing Interface (MPI) standard. It is implemented on top of the MPI-1/2/3 specification and exposes an API which grounds on the standard MPI-2 C++ bindings.

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 (as well as RHEL and their derivatives using the EPEL software repository)

  • using dnf and the mpich package on x86_64:

    $ dnf install mpi4py-mpich

  • using dnf and the openmpi package on x86_64:

    $ dnf install mpi4py-openmpi

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

  • for mpich package on x86_64 do:

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

  • for openmpi package on x86_64 do:

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

Citations

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

Project details

Verified details

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Avatar for dalcinl from gravatar.com dalcinl Avatar for leofang from gravatar.com leofang

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Project links
Meta
  • License: BSD License (BSD)
  • Author: Lisandro Dalcin
  • Maintainer: Lisandro Dalcin
  • Tags scientific computing, parallel computing, message passing interface, MPI
Classifiers

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