Book Image

Modern C++ Programming Cookbook - Second Edition

By : Marius Bancila
5 (1)
Book Image

Modern C++ Programming Cookbook - Second Edition

5 (1)
By: Marius Bancila

Overview of this book

C++ has come a long way to be one of the most widely used general-purpose languages that is fast, efficient, and high-performance at its core. The updated second edition of Modern C++ Programming Cookbook addresses the latest features of C++20, such as modules, concepts, coroutines, and the many additions to the standard library, including ranges and text formatting. The book is organized in the form of practical recipes covering a wide range of problems faced by modern developers. The book also delves into the details of all the core concepts in modern C++ programming, such as functions and classes, iterators and algorithms, streams and the file system, threading and concurrency, smart pointers and move semantics, and many others. It goes into the performance aspects of programming in depth, teaching developers how to write fast and lean code with the help of best practices. Furthermore, the book explores useful patterns and delves into the implementation of many idioms, including pimpl, named parameter, and attorney-client, teaching techniques such as avoiding repetition with the factory pattern. There is also a chapter dedicated to unit testing, where you are introduced to three of the most widely used libraries for C++: Boost.Test, Google Test, and Catch2. By the end of the book, you will be able to effectively leverage the features and techniques of C++11/14/17/20 programming to enhance the performance, scalability, and efficiency of your applications.
Table of Contents (16 chapters)
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Using atomic types

The thread support library offers functionalities for managing threads and synchronizing access to shared data with mutexes and locks, and, as of C++20, with latches, barriers, and semaphores. The standard library provides support for the complementary, lower-level atomic operations on data, which are indivisible operations that can be executed concurrently from different threads on shared data, without the risk of producing race conditions and without the use of locks. The support it provides includes atomic types, atomic operations, and memory synchronization ordering. In this recipe, we will see how to use some of these types and functions.

Getting ready

All the atomic types and operations are defined in the std namespace in the <atomic> header.

How to do it...

The following are a series of typical operations that use atomic types:

  • Use the std::atomic class template to create atomic objects that support atomic operations...