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)

Mobile-specific performance concerns

First, we want to state that all the embedded systems optimizations apply in equal measure to mobile devices. Moreover, as they are normally equipped with OpenGL hardware (that is, GPU), the techniques we learned in Chapter 8, Optimizing Graphical Performance, will also apply. In this section, we will thus only point to mobile-specific applications.

Executable size

Typically, mobile devices of today will have around 16-32 GB of persistent memory and 1-2 GB of dynamic RAM, so the memory resources are not even close to the resources we have on a desktop system. Additionally, there are limits on the maximum size of the applications on Android and iOS platforms. Just as on an embedded device...