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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

Potential issues


When writing MPI-based applications and executing them on either a multi-core CPU or cluster, the issues one may encounter are very much the same as those we already came across with the multithreaded code in the preceding chapters.

However, an additional worry with MPI is that one relies on the availability of network resources. Since a send buffer used for an MPI_Send call cannot be reclaimed until the network stack can process the buffer, and this call is a blocking type, sending lots of small messages can lead to one process waiting for another, which in turn is waiting for a call to complete.

This type of deadlock should be kept in mind when designing the messaging structure of an MPI application. One can, for example, ensure that there are no send calls building up on one side, which would lead to such a scenario. Providing feedback messages on, queue depth and similar could be used to the ease pressure.

MPI also contains a synchronization mechanism using a so-called...

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