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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

Other applications

The example in this chapter is primarily useful for applications where data or tasks have to be handled in parallel. For the earlier mentioned use case of a GUI-based application with business logic and network-related features, the basic setup of a main application, which launches the required threads, would remain the same. However, instead of having each thread to be the same, each would be a completely different method.

For this type of application, the thread layout would look like this:

As the graphic shows, the main thread would launch the GUI, network, and business logic thread, with the latter communicating with the network thread to send and receive data. The business logic thread would also receive user input from the GUI thread, and send updates back to be displayed on the GUI.

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