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Hands-On High Performance Programming with Qt 5

Hands-On High Performance Programming with Qt 5

By : Marek Krajewski
5 (2)
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Hands-On High Performance Programming with Qt 5

Hands-On High Performance Programming with Qt 5

5 (2)
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)
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Further reading

Interestingly, there has been a certain some amount of research done in the field of automatically detecting performance anti-patterns and correcting them! Before you get too excited, such methods can be applied to formal models of software, which was the case with deadlock detection tools. However, recently, some work has been done to apply this technique to production Java code, so if you are interested enough, have a look at Performance Anti-patterns: Detection and Evaluation of Their Effects in the Cloud (2014), which is available at https://ieeexplore.ieee.org/document/6930605. Who knows maybe you'll write such a tool for C++ and Qt?

The already mentioned book The Performance of Open Source Applications edited by Travish Armstrong (2013), available at http://aosabook.org, contains a selection of performance optimization stories akin to the contents...

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