Book Image

Hands-On High Performance Programming with Qt 5

By : Marek Krajewski
5 (1)
Book Image

Hands-On High Performance Programming with Qt 5

5 (1)
By: Marek Krajewski

Overview of this book

Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance. The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you’ll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains. By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature
Table of Contents (14 chapters)

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...