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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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Concurrency, parallelism, and multithreading

As you are a mid-level programmer, I assume you have at least some basic idea of what threads are, how they are different from processes, how and why we synchronize threads, mutexes, and what an atomic variable is.

Nonetheless, we will first have a quick overview of the basic concurrency concepts, namely:

  • Thread: This is an independent unit of computation your operating system (OS) can run in parallel. It is different from a process in that it shares common memory with other threads. In fact, a process can contain several threads.
  • Mutex: This is an abbreviation of "mutual exclusion," also known as a lock. It is a mechanism of the OS, which will block a thread if another thread has already marked the mutex as taken, or in other words, locked or acquired it.
  • Synchronization: C++ standard says that a simultaneous access of...

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