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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

Case Studies

After presenting the theory of the memory model and the multithreading interface, I apply the theory in a few case studies.

Calculating the Sum of a Vector

Calculating the sum of an vector can be done in various ways. You can do it sequentially, or concurrently with maximum and minimum sharing of data. The performance numbers differ drastically.

Thread-Safe Initialisation of a Singleton

Thread-safe initialisation of a singleton is the classical use-case for thread-safe initialisation of a shared variable. There are many ways to do it, with varying performance characteristics.

Ongoing Optimisation with CppMem

I start with a small program and successively improve it. I verify each step of my process of ongoing optimisation with CppMem. CppMem is an interactive tool for exploring the behaviour of small code snippets using the C++ memory model.

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