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)

Further reading

I highly encourage you to have a look at 5 Rules of Programming, written by Bob Pike (https://users.ece.utexas.edu/~adnan/pike.html)—short and succinct, alas I cannot quote all of them here.

If you want to learn more about algorithms, data structures, and the O(n) (big O) notation, there is the classic academic reference book, Introduction to Algorithms by Cormen, Leiserson, Rivest, and Stein (MIT Press, 3rd edition, 2009), but it could be a little heavy going, though. A lighter read is The Algorithm Design Manual by Steven Skiena, (Springer, 2nd edition, 2008).

A classic example of algorithmic optimization in action is the HashLife optimization for the Game of Life and you might like to read it. One of the descriptions can be found here: An Algorithm for Compressing Space and Time by Thomas Rokicki (2006) http://www.drdobbs.com/jvm/an-algorithm-for-compressing...