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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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Concepts
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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 looked at how to integrate GPGPU processing into a C++ application in the form of OpenCL. We also looked at the GPU memory hierarchy and how this impacts performance, especially in terms of host-device communication.

You should now be familiar with GPGPU implementations and concepts, along with how to create an OpenCL application, and how to compile and run it. How to avoid common mistakes should also be known.

As this is the final chapter of this book, it is hoped that all major questions have been answered, and that the preceding chapters, along with this one, have been informative and helpful in some fashion.

Moving on from this book, the reader may be interested in pursuing any of the topics covered in more detail, for which many resources are available both online and offline. The topic of multithreading and related areas is very large and touches...

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