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)

Summary

So, there was an awful lot of tools in this chapter, and then some more. What did we really learn from this chapter, besides a litany of tool names? Although it doesn't look like this at first glance, we indeed learned several important things, namely the following:

  • What kinds of tools are programmers using for performance analysis?
  • What platform, Qt version, and development environment will we be relying on in this book?
  • What open source and free tools can we use on Windows in addition to Qt Creator?
  • Much insight can be gained by relatively simple means.
  • How to profile a QML application's CPU usage.
  • How to profile a C++ (and mixed QML/C++) application's CPU usage.
  • How to investigate memory usage and find memory leaks.

There are even more specialized performance tools you could use, so there's virtually no limit to the amount of data you can collect...