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Mastering the C++17 STL

You're reading from   Mastering the C++17 STL Make full use of the standard library components in C++17

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787126824
Length 384 pages
Edition 1st Edition
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Arthur O'Dwyer Arthur O'Dwyer
Author Profile Icon Arthur O'Dwyer
Arthur O'Dwyer
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Table of Contents (13) Chapters Close

Preface 1. Classical Polymorphism and Generic Programming 2. Iterators and Ranges FREE CHAPTER 3. The Iterator-Pair Algorithms 4. The Container Zoo 5. Vocabulary Types 6. Smart Pointers 7. Concurrency 8. Allocators 9. Iostreams 10. Regular Expressions 11. Random Numbers 12. Filesystem

Building your own thread pool

If you use std::async to spawn a thread every time you have a new task, you risk exhausting the kernel's number of available threads for your process. A better way to run tasks concurrently is to use a thread pool--a small number of "worker threads" whose sole job is to run tasks as they are provided by the programmer. If there are more tasks than workers, the excess tasks are placed in a work queue. Whenever a worker finishes a task, it checks the work queue for new tasks.

This is a well-known idea, but has not yet been taken up into the standard library as of C++17. However, you can combine the ideas shown in this chapter to create your own production-quality thread pool. I'll walk through a simple one here; it's not "production quality" in terms of performance, but it is properly thread-safe and correct in all...

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