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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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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

The scheduler

A good example of multithreading with a significant amount of synchronization and communication between threads is the scheduling of tasks. Here, the goal is to accept incoming tasks and assign them to work threads as quickly as possible.

In this scenario, a number of different approaches are possible. Often one has worker threads running in an active loop, constantly polling a central queue for new tasks. Disadvantages of this approach include wasting of processor cycles on the said polling, and the congestion which forms at the synchronization mechanism used, generally a mutex. Furthermore, this active polling approach scales very poorly when the number of worker threads increase.

Ideally, each worker thread would wait idly until it is needed again. To accomplish this, we have to approach the problem from the other side: not from the perspective of the worker threads...

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