Book Image

Modern C++ Programming Cookbook

By : Marius Bancila
Book Image

Modern C++ Programming Cookbook

By: Marius Bancila

Overview of this book

C++ is one of the most widely used programming languages. Fast, efficient, and flexible, it is used to solve many problems. The latest versions of C++ have seen programmers change the way they code, giving up on the old-fashioned C-style programming and adopting modern C++ instead. Beginning with the modern language features, each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. You will learn major concepts about the core programming language as well as common tasks faced while building a wide variety of software. You will learn about concepts such as concurrency, performance, meta-programming, lambda expressions, regular expressions, testing, and many more in the form of recipes. These recipes will ensure you can make your applications robust and fast. By the end of the book, you will understand the newer aspects of C++11/14/17 and will be able to overcome tasks that are time-consuming or would break your stride while developing.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Working with threads


Most modern processors (except those dedicated to types of applications that do not require great computing power, such as Internet of Things applications) have two, four, or more cores that enable you to concurrently execute multiple threads of execution. Applications must be explicitly written to leverage the multiple processing units that exist; you can write such applications by executing functions on multiple threads at the same time. The C++ standard library provides support for working with threads, synchronization of shared data, thread communication, and asynchronous tasks. This chapter explores the most important topics related to threads and tasks.

A thread is a sequence of instructions that can be managed independently by a scheduler, such as the operating system. Threads could be software; they can run on single processing units, usually by time slicing. They could be hardware as well; they can run simultaneously, that is, in parallel, on systems with multiprocessors...