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 took a look at how to approach the debugging of multithreaded applications. We explored the basics of using a debugger in a multithreaded context. Next, we saw how to use three tools in the Valgrind framework, which can assist us in tracking down multithreading and other crucial issues.

At this point, we can take applications written using the information in the preceding chapters and analyze them for any issues which should be fixed including memory leaks and improper use of synchronization mechanisms.

In the next chapter, we will take all that we have learned, and look at some best practices when it comes to multithreaded programming and developing in general.