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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
8
Atomic Operations - Working with the Hardware

Chapter 3. C++ Multithreading APIs

While C++ has a native multithreading implementation in the Standard Template Library (STL), OS-level and framework-based multithreading APIs are still very common. Examples of these APIs include Windows and POSIX (Portable Operating System Interface) threads, and those provided by the Qt, Boost, and POCO libraries.

This chapter takes a detailed look at the features provided by each of these APIs, as well as the similarities and differences between each of them. Finally, we'll look at common usage scenarios using example code.

Topics covered by this chapter include the following:

  • A comparison of the available multithreading APIs
  • Examples of the usage of each of these APIs