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)

Reading and writing files in Qt

We will start this chapter with a quick review of some file processing basics in C++ so that we can build a basic understanding of what the foundations that Qt classes are building upon look like.

Basics of file I/O performance

Files can be stored on rotational (hard drive) or solid state disks (SSDs). In the case of hard disks, there are considerable mechanical overheads involved, caused by the need to position the read-write head over the correct disk sector. However, once the correct position is reached, the reading of contiguous data is relatively fast.

Reading and storing files is one of the archetypal tasks of operating systems. It is located in the kernel and is already optimized on that...