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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 FREE CHAPTER 2. Profiling to Find Bottlenecks 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

C++11/14/17 and performance

After a long standstill of nearly 10 years and after the bug-fixing C++ standard of 2003, the new C++11 brought so many innovations that we might sometimes think it were a completely new language. There are many features which dramatically improve its usability, the definition of the memory model for modern processors, support for multithreading, and much more, but we will only provide a short overview of features that are directly connected to performance. The first and foremost of these was the introduction of move semantics.

Move semantics

As we've already discussed in this chapter, the creation of temporary objects was a real performance problem in classic (or should I say old?) C++, so...

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