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)

Advanced networking themes

In this chapter, we will try to provide a few glimpses into high-performance networking themes that lie somehow lie outside standard Qt use cases.

The classic (and perennial) network programming problem is writing high-performance networked servers. Since Qt isn't very well-suited for that task—I, for example, used the C++ RestSdk library to write a HTTP server—we will only gloss over some problem areas to give you a little more of an overview:

  • User-space networking stacks: Normally, network protocol handling is implemented in the OS kernel. But for the highest performance, there are user space implementations that reduce the syscall overhead and give the user total control over buffer handling!
  • Threading considerations: We have already mentioned in Chapter 5, An In-Depth Guide to Concurrency and Multithreading, that, for optimal...