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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

When to start debugging


Ideally, one would test and validate one's code every time one has reached a certain milestone, whether it's for a singular module, a number of modules, or the application as a whole. It's important to ascertain that the assumptions one makes match up with the ultimate functionality.

Especially, with multithreaded code, there's a large element of coincidence in that a particular error state is not guaranteed to be reached during each run of the application. Signs of an improperly implemented multithreaded application may result in symptoms such as seemingly random crashes.

Likely the first hint one will get that something isn't correct is when the application crashes, and one is left with a core dump. This is a file which contains the memory content of the application at the time when it crashed, including the stack.

This core dump can be used in almost the same fashion as running a debugger with the running process. It is particularly useful to examine the location...

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