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)

Using Qt containers

Let's start with the statement that there's a raging debate when it comes to Qt data structures. There are proponents of Qt data structures and in the opposite camp the champions of standard STL algorithms and data structures.

What can we say about that? Qt containers were designed long ago when some platforms didn't support STL. The design objectives were for them to be good enough for GUI programming, easy to use, and discoverable, whereas STL containers were designed to be general-purpose, efficient, and correct. Thus, Qt containers lack many features of their STL counterparts and they also were neither modernized nor have they acquired many new features since the times of Qt 4. They are just good enough to build GUIs. As they are used pervasively in all Qt APIs, it would be a performance sin to copy their data to STL containers only to be...