mpi4py

Python bindings for MPI

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Project links

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.

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

Project details

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Project links

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4.0.1

Oct 11, 2024

4.0.0

Jul 28, 2024

3.1.6

Apr 14, 2024

3.1.5

Oct 4, 2023

3.1.4

Nov 2, 2022

3.1.3

Nov 25, 2021

3.1.2

Nov 4, 2021

3.1.1

Aug 14, 2021

3.1.0

Aug 12, 2021

3.0.3

Nov 4, 2019

3.0.2

Jun 11, 2019

3.0.1

Feb 15, 2019

This version

3.0.0

Nov 8, 2017

2.0.0

Oct 18, 2015

1.3.1

Aug 7, 2013

1.3

Jan 20, 2012

1.2.2

Sep 13, 2010

1.2.1

Feb 26, 2010

1.2

Dec 29, 2009

1.1.0

Jul 6, 2009

1.0.0

Mar 20, 2009

0.6.0

Jun 2, 2008

0.5.0

Aug 1, 2007

0.4.0

Jun 1, 2007

0.4.0rc4 pre-release

Feb 25, 2007

0.4.0rc3 pre-release

Dec 18, 2006

0.4.0rc2 pre-release

Nov 5, 2006

0.4.0rc1 pre-release

Oct 15, 2006

0.3.1

Aug 11, 2006

0.2.0

May 26, 2005

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