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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

Optimization tools beyond compiler

Now, we have learned about various compiler optimization techniques, and they are really great, so we don't need anything else, do we? Unfortunately, there are limits to the optimization the compilers can do, and these limits stem from the fundamental compiler limitation, which is that the compiler can see only one file at a time! This restricts all of the optimizations to the contents of that file only, and everything that happens in other parts of the program is like black magic to the compiler. We have already seen the pessimizations the compiler is forced to do when it sees an external function, haven't we? So, there are many optimization opportunities which have to be omitted because of the narrowed view the compilers are forced to take. What we need is whole program optimization (WPO), but how can we achieve that? One possibility...

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