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)

Further reading

If you would like to learn more about the topics discussed in this chapter, these are the resources I'd recommend.

Making Embedded Systems, by E. White, O'Reilly (2012), is an introduction to the field of resource-constrained devices and their programming. It only covers C programming language and techniques.

Embedded Linux Development using Yocto Projects, 2nd Edition, by O. Salvador and D. Angolini, Packt Publishing (2017), provides a thorough explanation of the Yocto build system for embedded Linux, and applies it to the BeagleBone, Raspberry Pi, and Wandboard boards.

The blog post A Speed-Up for Charting on Embedded by Ch. Merz (2018) is available at https://www.kdab.com/a-speed-up-for-charting-on-embedded/ and describes the implementation of a polyline simplification technique that uses a flattened min-max tree to yield significant performance gains...