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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

Further reading

I highly encourage you to have a look at 5 Rules of Programming, written by Bob Pike (https://users.ece.utexas.edu/~adnan/pike.html)—short and succinct, alas I cannot quote all of them here.

If you want to learn more about algorithms, data structures, and the O(n) (big O) notation, there is the classic academic reference book, Introduction to Algorithms by Cormen, Leiserson, Rivest, and Stein (MIT Press, 3rd edition, 2009), but it could be a little heavy going, though. A lighter read is The Algorithm Design Manual by Steven Skiena, (Springer, 2nd edition, 2008).

A classic example of algorithmic optimization in action is the HashLife optimization for the Game of Life and you might like to read it. One of the descriptions can be found here: An Algorithm for Compressing Space and Time by Thomas Rokicki (2006) http://www.drdobbs.com/jvm/an-algorithm-for-compressing...

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