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Hands-On High Performance Programming with Qt 5

You're reading from   Hands-On High Performance Programming with Qt 5 Build cross-platform applications using concurrency, parallel programming, and memory management

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789531244
Length 384 pages
Edition 1st Edition
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Author (1):
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Marek Krajewski Marek Krajewski
Author Profile Icon Marek Krajewski
Marek Krajewski
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Table of Contents (14) Chapters Close

Preface 1. Understanding Performant Programs 2. Profiling to Find Bottlenecks FREE CHAPTER 3. Deep Dive into C++ and Performance 4. Using Data Structures and Algorithms Efficiently 5. An In-Depth Guide to Concurrency and Multithreading 6. Performance Failures and How to Overcome Them 7. Understanding I/O Performance and Overcoming Related Problems 8. Optimizing Graphical Performance 9. Optimizing Network Performance 10. Qt Performance on Embedded and Mobile Platforms 11. Testing and Deploying Qt Applications 12. Assessments 13. Other Books You May Enjoy

Higher level Qt concurrency mechanisms

Because usage of the low-level threading constructs is known to be error-prone (we have seen a list of the problems earlier in this chapter), there is an ongoing quest in the concurrent community to provide better and higher level abstractions. Qt also implements a couple of such mechanisms and groups them in the QtConcurrent module. Let's have a look at it.

QThreadPool

A thread pool preallocates a number of worker threads and then allows the user to use them for their run computations. Each Qt application has one global QThreadPool object, which can be accessed by calling globalInstance(). QThreadPool allows running instances of QRunnable (also known as tasks) by calling QThreadPool...

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