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Mastering Concurrency in Python

You're reading from   Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789343052
Length 446 pages
Edition 1st Edition
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Concepts
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Author (1):
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Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
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Table of Contents (22) Chapters Close

Preface 1. Advanced Introduction to Concurrent and Parallel Programming FREE CHAPTER 2. Amdahl's Law 3. Working with Threads in Python 4. Using the with Statement in Threads 5. Concurrent Web Requests 6. Working with Processes in Python 7. Reduction Operators in Processes 8. Concurrent Image Processing 9. Introduction to Asynchronous Programming 10. Implementing Asynchronous Programming in Python 11. Building Communication Channels with asyncio 12. Deadlocks 13. Starvation 14. Race Conditions 15. The Global Interpreter Lock 16. Designing Lock-Based and Mutex-Free Concurrent Data Structures 17. Memory Models and Operations on Atomic Types 18. Building a Server from Scratch 19. Testing, Debugging, and Scheduling Concurrent Applications 20. Assessments 21. Other Books You May Enjoy

Reduction Operators in Processes

The concept of reduction operators—in which many or all elements of an array are reduced into one single result—is closely associated with concurrent and parallel programming. Specifically, because of the associative and communicative nature of the operators, concurrency and parallelism can be applied to greatly improve their execution time.

This chapter discusses the theoretical concurrent approach to designing and writing a reduction operator from the perspective of programmers and developers. From here, this chapter also makes connections to similar problems that can be solved using concurrency in similar ways.

The following topics will be covered in this chapter:

  • The concept of a reduction operator in computer science
  • The communicative and associative properties of reduction operators, and therefore the reason why concurrency...
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