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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
Languages
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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

Thread-Local Data

Thread-local data, also known as thread-local storage, is created for each thread separately. It behaves like static data because it’s bound for the lifetime of the thread and is created at its first usage. This means exactly that thread-local variables at namespace scope or as static class members are created before its first use and those thread-local variables declared in a function are created with its first use. Thread-local data belongs exclusively to the thread.

Thread-local data
 1 // threadLocal.cpp
 2 
 3 #include <iostream>
 4 #include <string>
 5 #include <mutex>
 6 #include <thread>
 7 
 8 std::mutex coutMutex;
 9 
10 thread_local std::string s("hello from ");
11 
12 void addThreadLocal(std::string const& s2){
13 
14   s += s2;
15   // protect std::cout
16   std::lock_guard<std::mutex> guard(coutMutex);
17   std::cout << s << std::endl;
18   std::cout << "&s: " <&lt...
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