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)

Understanding Performant Programs

In this introductory chapter, we'll start this book with some general discussions about program performance: why it's important, what are the factors that determine it, and how programmers generally go about performance themes. We'll begin with a broad discussion of performances' relevance in programming, before looking at some traditional performance-related knowledge, and we'll finish this chapter with the impact modern CPU architectures made in this field.

This chapter will therefore cover the following topics:

  • Why performance is important: To motivate ourselves before diving into technicalities
  • Traditional wisdom and basic guidelines: Old and proven performance knowledge
  • Modern processor architectures: At least the performance-relevant parts of it