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)

Performance Failures and How to Overcome Them

In this chapter, we will go through an array of performance problems that have been encountered recently by the author in his programming work—either caused by himself or by others. They all seem to fall under the same label of being basic, but that's what most performance problems are like in the real world trivial, once you've spotted them. These problems are those that the author can recall because he either had to correct them or has heard about them in more detail.

This isn't a catalog of all possible performance fails (can such a thing exist?) but rather a list of real-life problems as opposed to artificial examples that we could set up as an alternative. I believe that a real-life touch is more important than any attempt at an exhaustive catalog. These problems will also show you in which unexpected...