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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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Table of Contents (21) Chapters Close

Preface 1. Part 1:Foundations of Parallel Programming and Process Management
2. Chapter 1: Parallel Programming Paradigms FREE CHAPTER 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

Performance measurement tools

To learn about the performance of our applications, we need to be able to measure it. If there’s one key takeaway from this chapter, it’s to never estimate or guess your code performance. To know whether your program meets its performance requirements (either latency or throughput), you need to measure, measure, and then measure again.

Once you have the data from your performance tests, you’ll know the hotspots in your code. Maybe they’re related to memory access patterns or thread contention (such as, for example, when multiple threads must wait to acquire a lock to access a resource). This is where the second most important takeaway comes into play: set a goal when optimizing your application. Don’t aim to achieve the best performance possible because there always will be room for improvement. The right thing to do is to set a clear specification with targets such as maximum processing time for a transaction or the...

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