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Expert C++

You're reading from   Expert C++ Become a proficient programmer by learning coding best practices with C++17 and C++20's latest features

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838552657
Length 606 pages
Edition 1st Edition
Languages
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Authors (2):
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Vardan Grigoryan Vardan Grigoryan
Author Profile Icon Vardan Grigoryan
Vardan Grigoryan
Shunguang Wu Shunguang Wu
Author Profile Icon Shunguang Wu
Shunguang Wu
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Under the Hood of C++ Programming
2. Introduction to Building C++ Applications FREE CHAPTER 3. Low-Level Programming with C++ 4. Details of Object-Oriented Programming 5. Understanding and Designing Templates 6. Memory Management and Smart Pointers 7. Section 2: Designing Robust and Efficient Applications
8. Digging into Data Structures and Algorithms in STL 9. Functional Programming 10. Concurrency and Multithreading 11. Designing Concurrent Data Structures 12. Designing World-Ready Applications 13. Designing a Strategy Game Using Design Patterns 14. Networking and Security 15. Debugging and Testing 16. Graphical User Interface with Qt 17. Section 3: C++ in the AI World
18. Using C++ in Machine Learning Tasks 19. Implementing a Dialog-Based Search Engine 20. Assessments 21. Other Books You May Enjoy

Managing threads and sharing data

As discussed previously, the execution of threads involves pausing and resuming some of them if the number of threads exceeds the number of parallel running threads supported by the hardware. Besides that, the creation of a thread also has its overhead. One of the suggested practices to deal with having many threads in a project is using thread pools.

The idea of a thread pool lies in the concept of caching. We create and keep threads in some container to be used later. The container is called a pool. For example, the following vector represents a simple thread pool:

#include <thread>
#include <vector>

std::vector<std::thread> pool;

Whenever we need a new thread, instead of declaring the corresponding std::thread object, we use one already created in the pool. When we are done with the thread, we can push it back to the vector...

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