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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

The STL threading API


In Chapter 3, C++ Multithreading APIs, we looked at the various APIs that are available to us when developing a multithreaded C++ application. In Chapter 4, Thread Synchronization and Communication, we implemented a multithreaded scheduler application using the native C++ threading API.

Boost.Thread API

By including the <thread> header from the STL, we gain access to the std::thread class with facilities for mutual exclusion (mutex, and so on) provided by further headers. This API is, essentially, the same as the multithreading API from Boost.Thread, the main differences being more control over threads (join with timeout, thread groups, and thread interruption), and a number of additional lock types implemented on top of primitives such as mutexes and condition variables.

In general, Boost.Thread should be used as a fall back for when C++11 support isn't present, or when these additional Boost.Thread features are a requirement of one's application, and not easily...

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