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

Here are some questions so that you can test your understanding of the topics in this chapter. You'll find the responses at the end of this book, if you'd like to look them up:

  1. What is premature optimization?
  2. What did Donald Knuth really say about it?
  3. Why do we need performance optimization techniques?
  4. Which is the worst premature pessimization?
  5. Why is main memory slow?
  6. What is ILP, and what has it to do with thread synchronization?
  7. Is hyperthreading good or bad for performance?
  8. Why do we still use the likely/unlikely macros in the Linux kernel?
  9. Is a 64-bit program performance-wise better than a 32-bit program?