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Asynchronous Programming with C++

You're reading from   Asynchronous Programming with C++ Build blazing-fast software with multithreading and asynchronous programming for ultimate efficiency

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835884249
Length 424 pages
Edition 1st Edition
Languages
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Authors (2):
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Javier Reguera Salgado Javier Reguera Salgado
Author Profile Icon Javier Reguera Salgado
Javier Reguera Salgado
Juan Rufes Juan Rufes
Author Profile Icon Juan Rufes
Juan Rufes
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1:Foundations of Parallel Programming and Process Management FREE CHAPTER
2. Chapter 1: Parallel Programming Paradigms 3. Chapter 2: Processes, Threads, and Services 4. Part 2: Advanced Thread Management and Synchronization Techniques
5. Chapter 3: How to Create and Manage Threads in C++ 6. Chapter 4: Thread Synchronization with Locks 7. Chapter 5: Atomic Operations 8. Part 3: Asynchronous Programming with Promises, Futures, and Coroutines
9. Chapter 6: Promises and Futures 10. Chapter 7: The Async Function 11. Chapter 8: Asynchronous Programming Using Coroutines 12. Part 4: Advanced Asynchronous Programming with Boost Libraries
13. Chapter 9: Asynchronous Programming Using Boost.Asio 14. Chapter 10: Coroutines with Boost.Cobalt 15. Part 5: Debugging, Testing, and Performance Optimization in Asynchronous Programming
16. Chapter 11: Logging and Debugging Asynchronous Software 17. Chapter 12: Sanitizing and Testing Asynchronous Software 18. Chapter 13: Improving Asynchronous Software Performance 19. Index 20. Other Books You May Enjoy

Introduction to atomic operations

Atomic operations are indivisible (hence the word atomic, from the Greek ἄτομος, atomos, indivisible).

In this section, we will introduce atomic operations, what they are, and some reasons to use (and not to use!) them.

Atomic operations versus non-atomic operations – an example

If you remember the simple counter example from Chapter 4, we needed to use a synchronization mechanism (we used a mutex) for modifying the counter variable from different threads to avoid race conditions. The cause of the race condition was that incrementing the counter required three operations: reading the counter value, incrementing it, and writing the modified counter value back to memory. If only we could do that in one go, there would be no race condition.

This is exactly what could be achieved with an atomic operation: if we had some kind of atomic_increment operation, each thread would read, increment, and write...

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