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C++ High Performance

You're reading from   C++ High Performance Master the art of optimizing the functioning of your C++ code

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781839216541
Length 544 pages
Edition 2nd Edition
Languages
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Authors (2):
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Viktor Sehr Viktor Sehr
Author Profile Icon Viktor Sehr
Viktor Sehr
Björn Andrist Björn Andrist
Author Profile Icon Björn Andrist
Björn Andrist
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Table of Contents (17) Chapters Close

Preface 1. A Brief Introduction to C++ 2. Essential C++ Techniques FREE CHAPTER 3. Analyzing and Measuring Performance 4. Data Structures 5. Algorithms 6. Ranges and Views 7. Memory Management 8. Compile-Time Programming 9. Essential Utilities 10. Proxy Objects and Lazy Evaluation 11. Concurrency 12. Coroutines and Lazy Generators 13. Asynchronous Programming with Coroutines 14. Parallel Algorithms 15. Other Books You May Enjoy
16. Index

Parallel standard library algorithms

As of C++17, the standard library has been extended with parallel versions of most, but not all, algorithms. Changing your algorithms to allow for parallel execution is simply a matter of adding a parameter that tells the algorithm which parallel execution policy to use.

As stressed earlier in this book, if your code base is based upon standard library algorithms, or at least if you have the habit of writing C++ by using algorithms, you will get an instant performance boost almost for free by adding an execution policy where suitable:

auto v = std::vector<std::string>{ 
  "woody", "steely", "loopy", "upside_down" 
};
// Parallel sort
std::sort(std::execution::par, v.begin(), v.end());

Once you specify an execution policy, you are in the realm of parallel algorithms, which have some notable differences compared to their original sequential versions. Firstly, the minimum iterator category...

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