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)

Questions

As in previous chapters, here are some questions so that you can test your understanding of the discussed topics:

  1. What did Linus say about C++ performance?
  2. What is an arena?
  3. What are PGO, FDO, LTO, LTCG, and WPO and what do they have in common?
  1. Have you looked into the compiler optimization example code from this book? Do you know what scalar replacement of aggregates is now?
  2. What do you think? How big is the overhead of a function call?
  3. What is dead stack pinning? Wasn't it a movie? Or was that dead stack walking?
  4. What is RTTI and is it expensive or not?
  5. What would change in the mutatingFunc() example discussed in the section about compiler optimization tricks, if it were defined in the same compilation unit?
  6. What is register pressure? Hint—it has to do with one of a compiler's main tasks, that is, register allocation.
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