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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

Profiling to Find Bottlenecks

As we already described in Chapter 1, Understanding Performant Programs, performance bottlenecks are not distributed evenly in code. Applying the Pareto principle to performance optimization, we could say that 80% of a program's execution time is spent on 20% of the code (and, as we've seen, Donald Knuth believed this to be an even lower figure). Regardless of the exact proportions, the basic insight is the same—code optimization efforts are most effectively spent on that critical x percent of the code that is responsible for most of the program's execution time.

We saw in the previous chapter that today's hardware platforms have grown to be so complicated that the ancient adage about programmers being notoriously bad at estimating bottlenecks in their own code has now been reinforced more than ever—not only do we...

You have been reading a chapter from
Hands-On High Performance Programming with Qt 5
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781789531244
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