Metadata-Version: 1.2
Name: mpi4py
Version: 3.0.3
Summary: Python bindings for MPI
Home-page: https://bitbucket.org/mpi4py/mpi4py/
Author: Lisandro Dalcin
Author-email: dalcinl@gmail.com
Maintainer: Lisandro Dalcin
Maintainer-email: dalcinl@gmail.com
License: BSD
Download-URL: https://bitbucket.org/mpi4py/mpi4py/downloads/mpi4py-3.0.3.tar.gz
Description: MPI for Python
        ==============
        
        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.
        
        .. _MPI: http://www.mpi-forum.org/
        
        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
        
Keywords: scientific computing,parallel computing,message passing interface,MPI
Platform: Mac OS X
Platform: Linux
Platform: Solaris
Platform: Unix
Platform: Windows
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: POSIX :: SunOS/Solaris
Classifier: Operating System :: Unix
Classifier: Programming Language :: C
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: System :: Distributed Computing
Provides: mpi4py
