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

Summary


In this chapter, we looked at atomic operations and exactly how they are integrated into compilers to allow one's code to work as closely with the underlying hardware as possible. The reader will now be familiar with the types of atomic operations, the use of a memory barrier (fencing), as well as the various types of memory ordering and their implications.

The reader is now capable of using atomic operations in their own code to accomplish lock-free designs and to make proper use of the C++11 memory model.

In the next chapter, we will take everything we have learned so far and move away from CPUs, instead taking a look at GPGPU, the general-purpose processing of data on video cards (GPUs).