Book Image

Advanced C++ Programming Cookbook

By : Dr. Rian Quinn
Book Image

Advanced C++ Programming Cookbook

By: Dr. Rian Quinn

Overview of this book

If you think you've mastered C++ and know everything it takes to write robust applications, you'll be in for a surprise. With this book, you'll gain comprehensive insights into C++, covering exclusive tips and interesting techniques to enhance your app development process. You'll kick off with the basic principles of library design and development, which will help you understand how to write reusable and maintainable code. You'll then discover the importance of exception safety, and how you can avoid unexpected errors or bugs in your code. The book will take you through the modern elements of C++, such as move semantics, type deductions, and coroutines. As you advance, you'll delve into template programming - the standard tool for most library developers looking to achieve high code reusability. You'll explore the STL and learn how to avoid common pitfalls while implementing templates. Later, you'll learn about the problems of multithreaded programming such as data races, deadlocks, and thread starvation. You'll also learn high-performance programming by using benchmarking tools and libraries. Finally, you'll discover advanced techniques for debugging and testing to ensure code reliability. By the end of this book, you'll have become an expert at C++ programming and will have gained the skills to solve complex development problems with ease.
Table of Contents (15 chapters)

Synchronization wrappers and how to implement them

In this recipe, we will learn how to make thread-safe synchronization wrappers. By default, the C++ standard library is not thread-safe as not all applications will need this functionality. One mechanism to ensure the C++ standard library is thread-safe is to create a thread-safe class, which adds the data structure you wish to use as well as std::mutex to the class as private members, and then reimplements the data structure's functions to first acquire std::mutex and then forward the function call to the data structure. The problem with this approach is there is a lot of extra code that is added to your program if the data structure is a global resource, making the resulting code hard to read and maintain.

This recipe is important because it will demonstrate how to address these issues in your code by making thread-safe...