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C++ Programming for Linux Systems

You're reading from   C++ Programming for Linux Systems Create robust enterprise software for Linux and Unix-based operating systems

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781805129004
Length 288 pages
Edition 1st Edition
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Authors (2):
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Stanimir Lukanov Stanimir Lukanov
Author Profile Icon Stanimir Lukanov
Stanimir Lukanov
Desislav Andreev Desislav Andreev
Author Profile Icon Desislav Andreev
Desislav Andreev
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Table of Contents (15) Chapters Close

Preface 1. Part 1:Securing the Fundamentals
2. Chapter 1: Getting Started with Linux Systems and the POSIX Standard FREE CHAPTER 3. Chapter 2: Learning More about Process Management 4. Chapter 3: Navigating through the Filesystems 5. Chapter 4: Diving Deep into the C++ Object 6. Chapter 5: Handling Errors with C++ 7. Part 2:Advanced Techniques for System Programming
8. Chapter 6: Concurrent System Programming with C++ 9. Chapter 7: Proceeding with Inter-Process Communication 10. Chapter 8: Using Clocks, Timers, and Signals in Linux 11. Chapter 9: Understanding the C++ Memory Model 12. Chapter 10: Using Coroutines in C++ for System Programming 13. Index 14. Other Books You May Enjoy

Demystifying race conditions and data races

In C++, multithreading support was first introduced with the C++11 version of the language. One of the key elements provided by the C++11 standard to facilitate multithreading is the memory model. The memory model tackles two problems: the layout of objects in memory and the concurrent access to these objects. In C++, all data is represented by objects, which are blocks of memory that have various properties such as type, size, alignment, lifetime, value, and an optional name. Each object remains in memory for a specific period of time and is stored in one or more memory locations, depending on whether it is a simple scalar object or a more complex type.

In the context of multithreaded programming in C++, it is crucial to consider how to tackle concurrent access by multiple threads to shared objects. If two or more threads try to access different memory locations, there is usually no problem. However, when threads attempt to write in the...

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