Book Image

Mastering C++ Multithreading

By : Maya Posch
Book Image

Mastering C++ Multithreading

By: Maya Posch

Overview of this book

Multithreaded applications execute multiple threads in a single processor environment, allowing developers achieve concurrency. This book will teach you the finer points of multithreading and concurrency concepts and how to apply them efficiently in C++. Divided into three modules, we start with a brief introduction to the fundamentals of multithreading and concurrency concepts. We then take an in-depth look at how these concepts work at the hardware-level as well as how both operating systems and frameworks use these low-level functions. In the next module, you will learn about the native multithreading and concurrency support available in C++ since the 2011 revision, synchronization and communication between threads, debugging concurrent C++ applications, and the best programming practices in C++. In the final module, you will learn about atomic operations before moving on to apply concurrency to distributed and GPGPU-based processing. The comprehensive coverage of essential multithreading concepts means you will be able to efficiently apply multithreading concepts while coding in C++.
Table of Contents (17 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback
Atomic Operations - Working with the Hardware

Chapter 5. Native C++ Threads and Primitives

Starting with the 2011 revision of the C++ standard, a multithreading API is officially part of the C++ Standard Template Library (STL). This means that threads, thread primitives, and synchronization mechanisms are available to any new C++ application without the need to install a third-party library, or to rely on the operating system's APIs.

This chapter looks at the multithreading features available in this native API up to the features added by the 2014 standard. A number of examples will be shown to use these features in detail.

Topics in this chapter include the following:

  • The features covered by the multithreading API in C++'s STL
  • Detailed examples of the usage of each feature