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ActivePython
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pypm install mpi4py

How to install mpi4py

  1. Download and install ActivePython
  2. Open Command Prompt
  3. Type pypm install mpi4py
  4. Read the notes specific to this package.
 Python 2.7Python 3.2Python 3.3
Windows (32-bit)
1.3
1.3.1Never BuiltWhy not?
1.3 Available View build log
1.2.2 Available View build log
1.2.1 Failed View build log
1.3
1.3.1Never BuiltWhy not?
1.3 Available View build log
1.2.2 Available View build log
1.2.1 Failed View build log
Windows (64-bit)
1.3
1.3.1Never BuiltWhy not?
1.3 Available View build log
1.2.2 Available View build log
1.2.1 Failed View build log
1.3
1.3.1Never BuiltWhy not?
1.3 Available View build log
1.2.2 Available View build log
1.2.1 Failed View build log
Mac OS X (10.5+)
1.3.1 Available View build log
1.3 Available View build log
1.2.2 Available View build log
1.2.1 Available View build log
1.3
1.3.1Never BuiltWhy not?
1.3 Available View build log
1.2.2 Available View build log
1.2.1 Available View build log
Linux (32-bit)
1.3.1 Failed View build log
1.3 Failed View build log
1.2.2 Failed View build log
1.2.1 Failed View build log
1.3.1Never BuiltWhy not?
1.3 Failed View build log
1.2.2 Failed View build log
1.2.1 Failed View build log
Linux (64-bit)
1.3.1 Failed View build log
1.3 Failed View build log
1.2.2 Failed View build log
1.2.1 Failed View build log
1.3.1Never BuiltWhy not?
1.3 Failed View build log
1.2.2 Failed View build log
1.2.1 Failed View build log
1.3.1 Failed View build log
 

On Windows (32-bit), Windows (64-bit):-

Microsoft's HPC Pack 2008 SDK must be installed to use the mpi4py package.

License
BSD
Depended by
Imports
Lastest release
version 1.3.1 on Aug 9th, 2013

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

This package supports:

  • Convenient communication of any picklable Python object
    • point-to-point (send & receive)
    • collective (broadcast, scatter & gather, reduction)
  • 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, reduction)
  • 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 (put, get, accumulate)

You can install the in-development version of mpi4py with:

$ pip install mpi4py==dev

or:

$ easy_install mpi4py==dev

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Last updated Aug 9th, 2013

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