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Concurrency with Modern C++

You're reading from   Concurrency with Modern C++ What every professional C++ programmer should know about concurrency.

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Product type Paperback
Published in Dec 2019
Publisher
ISBN-13 9781839211027
Length 543 pages
Edition 1st Edition
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Author (1):
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Rainer Grimm Rainer Grimm
Author Profile Icon Rainer Grimm
Rainer Grimm
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Table of Contents (19) Chapters Close

1. Reader Testimonials FREE CHAPTER
2. Introduction 3. Concurrency with Modern C++ 4. Memory Model 5. Multithreading 6. Parallel Algorithms of the Standard Template Library 7. The Near Future: C++20 8. Case Studies 9. The Future: C++23 10. Patterns and Best Practices 11. Synchronisation Patterns 12. Concurrent Architecture 13. Best Practices 14. Lock-Based Data Structures 15. Challenges 16. The Time Library 17. CppMem - An Overview 18. Glossary 19. Index

Dealing with Sharing

If you don’t share, no data races can happen. Not sharing means that your thread works on local variables. This can be achieved by copying the value, by using thread-specific storage, or by transferring the result to the future via a protected data channel. The patterns in this section are quite obvious, but for completeness, I will present them with a short explanation.

Copied Value

If a thread gets its arguments by copy and not by reference, there is no need to synchronise accesses to any data. No data races and no lifetime issues are possible.

Data Races with References

The following program starts three threads. One thread gets its argument by copy, the other by reference and the last by constant reference.

Data races with references
 1 // copiedValueDataRace.cpp
 2 
 3 #include <functional>
 4 #include <iostream>
 5 #include <string>
 6 #include <thread>
 7 
 8 using namespace std::chrono_literals;
 9 
10 void byCopy(bool...
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