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)

Higher level Qt concurrency mechanisms

Because usage of the low-level threading constructs is known to be error-prone (we have seen a list of the problems earlier in this chapter), there is an ongoing quest in the concurrent community to provide better and higher level abstractions. Qt also implements a couple of such mechanisms and groups them in the QtConcurrent module. Let's have a look at it.

QThreadPool

A thread pool preallocates a number of worker threads and then allows the user to use them for their run computations. Each Qt application has one global QThreadPool object, which can be accessed by calling globalInstance(). QThreadPool allows running instances of QRunnable (also known as tasks) by calling QThreadPool...