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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

Summary

In this chapter, we looked in some detail at the MPI standard, along with a number of its implementations, specifically Open MPI, and we looked at how to set up a cluster. We also saw how to use OpenMP to easily add multithreading to existing codes.

At this point, the reader should be capable of setting up a basic Beowulf or similar cluster, configuring it for MPI, and running basic MPI applications on it. How to communicate between MPI processes and how to define custom data types should be known. In addition, the reader will be aware of the potential pitfalls when programming for MPI.

In the next chapter, we will take all our knowledge of the preceding chapters and see how we can combine it in the final chapter, as we look at general-purpose computing on videocards (GPGPU).

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