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Parallel Programming with Python

You're reading from  Parallel Programming with Python

Product type Book
Published in Jun 2014
Publisher
ISBN-13 9781783288397
Pages 124 pages
Edition 1st Edition
Languages

Table of Contents (16) Chapters

Parallel Programming with Python
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Contextualizing Parallel, Concurrent, and Distributed Programming 2. Designing Parallel Algorithms 3. Identifying a Parallelizable Problem 4. Using the threading and concurrent.futures Modules 5. Using Multiprocessing and ProcessPoolExecutor 6. Utilizing Parallel Python 7. Distributing Tasks with Celery 8. Doing Things Asynchronously Index

Chapter 2. Designing Parallel Algorithms

While developing parallel systems, several aspects must be observed before you start with the lines of code. Outlining the problem and the way it will be paralleled from the beginning are essential in order to obtain success along the task. In this chapter, we'll approach some technical aspects to achieve solutions.

This chapter covers the following topics:

  • The divide and conquer technique

  • Data decomposition

  • Decomposing tasks with pipeline

  • Processing and mapping

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