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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
Last Updated in Feb 2025
Publisher
ISBN-13 9781785289583
Length 286 pages
Edition 1st Edition
Languages
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Author (1):
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 Zaccone Zaccone
Author Profile Icon Zaccone
Zaccone
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Table of Contents (8) Chapters Close

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

Point-to-point communication


One of the most important features among those provided by MPI is the point-to-point communication, which is a mechanism that enables data transmission between two processes: a process receiver, and process sender.

The Python module mpi4py enables point-to-point communication via two functions:

  • Comm.Send(data, process_destination): This sends data to the destination process identified by its rank in the communicator group

  • Comm.Recv(process_source): This receives data from the source process, which is also identified by its rank in the communicator group

The Comm parameter, which stands for communicator, defines the group of processes, that may communicate through message passing:

comm = MPI.COMM_WORLD

How to do it…

In the following example, we show you how to utilize the comm.send and comm.recv directives to exchange messages between different processes:

from mpi4py import MPI

comm=MPI.COMM_WORLD
rank = comm.rank
print("my rank is : " , rank)

if rank==0:
    data...
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