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)

Other modules

In this section, we will briefly have a look at the performance of other graphical Qt modules; however, we will not be discussing them in detail.

Qt 3D performance

In the recent Qt releases, especially Qt 5.11 and Qt 5.12, there was a constant stream of performance improvements for Qt 3D, be it in CPU memory usage or improved SIMD support. Thus, this module seems to be under very active development.

One interesting feature is that, internally, Qt 3D uses the task-based approach to parallelism we have already spoken about in Chapter 5, An In-Depth Guide to Concurrency and Multithreading; that is, it dispatches tasks to the worker threads, each running on a single core. This approach will naturally scale when...