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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 2. Multithreading Implementation on the Processor and OS FREE CHAPTER 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 went over the basics of a multithreaded application in C++ using the native threading API. We looked at how to have multiple threads perform a task in parallel, and also explored how to properly use the random number API in the STL within a multithreaded application.

In the next chapter, we'll discuss how multithreading is implemented both in hardware and in operating systems. We'll see how this implementation differs per processor architecture and operating system, and how this affects our multithreaded application.

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