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Hands-On High Performance Programming with Qt 5

You're reading from   Hands-On High Performance Programming with Qt 5 Build cross-platform applications using concurrency, parallel programming, and memory management

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789531244
Length 384 pages
Edition 1st Edition
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Author (1):
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Marek Krajewski Marek Krajewski
Author Profile Icon Marek Krajewski
Marek Krajewski
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Table of Contents (14) Chapters Close

Preface 1. Understanding Performant Programs 2. Profiling to Find Bottlenecks FREE CHAPTER 3. Deep Dive into C++ and Performance 4. Using Data Structures and Algorithms Efficiently 5. An In-Depth Guide to Concurrency and Multithreading 6. Performance Failures and How to Overcome Them 7. Understanding I/O Performance and Overcoming Related Problems 8. Optimizing Graphical Performance 9. Optimizing Network Performance 10. Qt Performance on Embedded and Mobile Platforms 11. Testing and Deploying Qt Applications 12. Assessments 13. Other Books You May Enjoy

Summary

In this chapter, we covered a lot of stuff, but concurrency is one of most important and, sadly, one of the most difficult and error-prone topics in programming.

We started with the basics, namely with what threads, mutexes, and atomics are. Then we learned the unfortunate fact that the use of mutexes can lead to several problems such as: deadlocks, livelocks, starvation, priority inversion, convoying, and false sharing. Fortunately, these problems can be avoided with some care. We then progressed to evaluating the performance costs of using threads and mutexes and of their alternative, namely lock-free data structures. In the next section, we learned what thread support classes Qt provides and how they integrate with its signal-slot mechanism. After that, we proceeded to multithreading optimization techniques—first, we learned how to decrease thread construction...

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