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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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Types of profilers

The problem is, as we mentioned, we don't know what the program, the operating system or the hardware are exactly doing, and how much time each of them needs. So, we have to obtain this information somehow. The process of doing so is called profiling (creating the program's execution profile), and the tools we use to do that are called profilers. There are the following general approaches used to obtain performance data:

  • Program instrumentation
  • Runtime sampling
  • Reading hardware or operating system counters

Let's look at each of these approaches in more detail.

Instrumenting profilers

Code instrumentation means adding additional code to our existing code base that will measure performance...

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