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)

Multithreading and performance

Multithreading is hard is the mantra you will hear very often. But, as we learned in Chapter 1, Understanding Performant Programs, if we want to use the advances in processor design, we must parallelize our programs! Otherwise, we will only use a single core, which will normally utilize only a fraction of our computer's CPU.

So, how can we speed up our programs? Well, before we can answer this question, we will first have a look at the costs of several concurrency constructs. Not again, you say? We have discussed so much of that stuff, Qt or not, already, you say? We have to see some cool techniques at last, you say? Sorry to disappoint you, but success in performance optimization comes from deep understanding. So, let's have a look at those costs, shall we?

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