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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 (11) Chapters Close

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

Summary


In this chapter, we looked at atomic operations and exactly how they are integrated into compilers to allow one's code to work as closely with the underlying hardware as possible. The reader will now be familiar with the types of atomic operations, the use of a memory barrier (fencing), as well as the various types of memory ordering and their implications.

The reader is now capable of using atomic operations in their own code to accomplish lock-free designs and to make proper use of the C++11 memory model.

In the next chapter, we will take everything we have learned so far and move away from CPUs, instead taking a look at GPGPU, the general-purpose processing of data on video cards (GPUs).

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