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Parallel Programming with Python

You're reading from   Parallel Programming with Python Develop efficient parallel systems using the robust Python environment.

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783288397
Length 124 pages
Edition 1st Edition
Languages
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Author (1):
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 Palach Palach
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Palach
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Table of Contents (10) Chapters Close

Preface 1. Contextualizing Parallel, Concurrent, and Distributed Programming 2. Designing Parallel Algorithms FREE CHAPTER 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
You have been reading a chapter from
Parallel Programming with Python
Published in: Jun 2014
Publisher:
ISBN-13: 9781783288397
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