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Mastering C++ Multithreading

You're reading from   Mastering C++ Multithreading Write robust, concurrent, and parallel applications

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787121706
Length 244 pages
Edition 1st Edition
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Author (1):
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Maya Posch Maya Posch
Author Profile Icon Maya Posch
Maya Posch
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Table of Contents (17) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Revisiting Multithreading FREE CHAPTER 2. Multithreading Implementation on the Processor and OS 3. C++ Multithreading APIs 4. Thread Synchronization and Communication 5. Native C++ Threads and Primitives 6. Debugging Multithreaded Code 7. Best Practices 8. Atomic Operations - Working with the Hardware 9. Multithreading with Distributed Computing 10. Multithreading with GPGPU

Chapter 8. Atomic Operations - Working with the Hardware

A lot of optimization and thread-safety depends on one's understanding of the underlying hardware: from aligned memory access on some architectures, to knowing which data sizes and thus C++ types can be safely addressed without performance penalties or the need for mutexes and similar.

This chapter looks at how one can make use of the characteristics of a number of processor architectures in order to, for example, prevent the use of mutexes where atomic operations would prevent any access conflicts regardless. Compiler-specific extensions such as those in GCC are also examined.

Topics in this chapter include:

  • The types of atomic operations and how to use them
  • How to target a specific processor architecture
  • Compiler-based atomic operations
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