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        "author": "Lisandro Dalcin",
        "author_email": "dalcinl@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Operating System :: POSIX :: Linux",
            "Operating System :: POSIX :: SunOS/Solaris",
            "Operating System :: Unix",
            "Programming Language :: C",
            "Programming Language :: Cython",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: System :: Distributed Computing"
        ],
        "description": "MPI for Python\n==============\n\nThis package provides Python bindings for the **Message Passing\nInterface** (MPI_) standard. It is implemented on top of the MPI-1/2/3\nspecification and exposes an API which grounds on the standard MPI-2\nC++ bindings.\n\n.. _MPI: http://www.mpi-forum.org/\n\nFeatures\n--------\n\nThis package supports:\n\n* Convenient communication of any *picklable* Python object\n\n  + point-to-point (send & receive)\n  + collective (broadcast, scatter & gather, reductions)\n\n* Fast communication of Python object exposing the *Python buffer\n  interface* (NumPy arrays, builtin bytes/string/array objects)\n\n  + point-to-point (blocking/nonbloking/persistent send & receive)\n  + collective (broadcast, block/vector scatter & gather, reductions)\n\n* Process groups and communication domains\n\n  + Creation of new intra/inter communicators\n  + Cartesian & graph topologies\n\n* Parallel input/output:\n\n  + read & write\n  + blocking/nonbloking & collective/noncollective\n  + individual/shared file pointers & explicit offset\n\n* Dynamic process management\n\n  + spawn & spawn multiple\n  + accept/connect\n  + name publishing & lookup\n\n* One-sided operations\n\n  + remote memory access (put, get, accumulate)\n  + passive target syncronization (start/complete & post/wait)\n  + active target syncronization (lock & unlock)\n\n\nInstall\n-------\n\nOnce you have a working MPI implementation and the ``mpicc`` compiler\nwrapper is on your search path, you can install this package\n\n* using ``pip``::\n\n  $ pip install mpi4py\n\n* using ``easy_install`` (deprecated)::\n\n  $ easy_install mpi4py\n\nYou can also install the in-development version of mpi4py\n\n* using ``pip``::\n\n    $ pip install git+https://bitbucket.org/mpi4py/mpi4py\n\n  or::\n\n    $ pip install https://bitbucket.org/mpi4py/mpi4py/get/master.tar.gz\n\n* using ``easy_install`` (deprecated)::\n\n    $ easy_install git+https://bitbucket.org/mpi4py/mpi4py\n\n  or::\n\n    $ easy_install https://bitbucket.org/mpi4py/mpi4py/get/master.tar.gz\n\nYou can also install it directly on Fedora (as well as RHEL and their\nderivatives using the EPEL software repository)\n\n* using ``dnf`` and the ``mpich`` package on ``x86_64``::\n\n  $ dnf install mpi4py-mpich\n\n* using ``dnf`` and the ``openmpi`` package on ``x86_64``::\n\n  $ dnf install mpi4py-openmpi\n\nPlease remember to load the correct module for your choosen MPI environment\n\n* for ``mpich`` package on ``x86_64`` do::\n\n  $ module load mpi/mpich-x86_64\n  $ python -c \"import mpi4py\"\n\n* for ``openmpi`` package on ``x86_64`` do::\n\n  $ module load mpi/openmpi-x86_64\n  $ python -c \"import mpi4py\"\n\n\nCitations\n---------\n\nIf MPI for Python been significant to a project that leads to an\nacademic publication, please acknowledge that fact by citing the\nproject.\n\n* L. Dalcin, P. Kler, R. Paz, and A. Cosimo,\n  *Parallel Distributed Computing using Python*,\n  Advances in Water Resources, 34(9):1124-1139, 2011.\n  http://dx.doi.org/10.1016/j.advwatres.2011.04.013\n\n* L. Dalcin, R. Paz, M. Storti, and J. D'Elia,\n  *MPI for Python: performance improvements and MPI-2 extensions*,\n  Journal of Parallel and Distributed Computing, 68(5):655-662, 2008.\n  http://dx.doi.org/10.1016/j.jpdc.2007.09.005\n\n* L. Dalcin, R. Paz, and M. Storti,\n  *MPI for Python*,\n  Journal of Parallel and Distributed Computing, 65(9):1108-1115, 2005.\n  http://dx.doi.org/10.1016/j.jpdc.2005.03.010",
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        "keywords": "scientific computing,parallel computing,message passing interface,MPI",
        "license": "BSD",
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