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Python Parallel Programming Cookbook

You're reading from   Python Parallel Programming Cookbook Master efficient parallel programming to build powerful applications using Python

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Product type Paperback
Published in Aug 2015
Publisher
ISBN-13 9781785289583
Length 286 pages
Edition 1st Edition
Languages
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Author (1):
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Giancarlo Zaccone Giancarlo Zaccone
Author Profile Icon Giancarlo Zaccone
Giancarlo Zaccone
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Toc

Table of Contents (8) Chapters Close

Preface 1. Getting Started with Parallel Computing and Python 2. Thread-based Parallelism FREE CHAPTER 3. Process-based Parallelism 4. Asynchronous Programming 5. Distributed Python 6. GPU Programming with Python Index

Using the mpi4py Python module


The Python programming language provides a number of MPI modules to write parallel programs. The most interesting of these is the mpi4py library. It is constructed on top of the MPI-1/2 specifications and provides an object-oriented interface, which closely follows MPI-2 C++ bindings. A C MPI user could use this module without learning a new interface. Therefore, it is widely used as an almost full package of an MPI library in Python.

The main applications of the module, which will be described in this chapter, are:

  • Point-to-point communication

  • Collective communication

  • Topologies

Getting ready

The installation procedure of mpi4py using a Windows machine is, as follows (for other OS, refer to http://mpi4py.scipy.org/docs/usrman/install.html#):

  1. Download the MPI software library mpich from http://www.mpich.org/downloads/.

    The MPICH download page

  2. Open an admin Command Prompt by right-clicking on the command prompt icon and select Run as administrator.

  3. Run msiexec /i mpich_installation_file...

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