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Scientific Computing with Python - Second Edition

You're reading from  Scientific Computing with Python - Second Edition

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781838822323
Pages 392 pages
Edition 2nd Edition
Languages
Authors (3):
Claus Führer Claus Führer
Profile icon Claus Führer
Jan Erik Solem Jan Erik Solem
Olivier Verdier Olivier Verdier
View More author details

Table of Contents (23) Chapters

Preface Getting Started Variables and Basic Types Container Types Linear Algebra - Arrays Advanced Array Concepts Plotting Functions Classes Iterating Series and Dataframes - Working with Pandas Communication by a Graphical User Interface Error and Exception Handling Namespaces, Scopes, and Modules Input and Output Testing Symbolic Computations - SymPy Interacting with the Operating System Python for Parallel Computing Comprehensive Examples About Packt Other Books You May Enjoy References

18.2.1 Prerequisites

You need to install this module first by executing the following in a terminal window:

conda install mpi4py

The module is imported by adding the following line to your Python script:

import mpi4py as mpi

The execution of a parallelized code is done from a terminal with the command mpiexec. Assuming that your code is stored in the file script.py, executing this code on a computer with a four-core CPU is done in the terminal window by running the following command:

mpiexec -n 4 python script.py

Alternatively, to execute the same script on a cluster with two computers, run the following in a terminal window:

mpiexec --hostfile=hosts.txt python script.py

You have to provide a file hosts.txt containing the names or IP addresses of the computers with the number of their cores you want to bind to a cluster:

# Content of hosts.txt
192.168.1.25 :4 # master computer with 4 cores
192.168.1.101:2 # worker computer with 2 cores

The Python script, here script.py, has to be copied...

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