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)

Challenges in embedded and mobile development

Embedded and mobile devices are just computers, only with less memory, less CPU/GPU power, and, in the case of mobile devices, finite power supply, and sometimes problematic network performance. As on a desktop computer, we usually don't have to think about such constraints in embedded development; they are a part of the game.

Specifically, power constraints give rise to the usage of CPUs that are different than those found in desktops. Currently, the most commonly used CPUs come from the ARM's Cortex line, which follows the reduced instruction set (RISC) processor architecture design, resulting in simple instructions, less transistors, and lower power usage.

Besides power constraints, embedded and mobile devices come with size and price limitations, resulting in less-performant hardware. The hardware is customarily bundled...