Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Mastering C++ Multithreading
  • Table Of Contents Toc
Mastering C++ Multithreading

Mastering C++ Multithreading

By : Maya Posch
3.1 (12)
close
close
Mastering C++ Multithreading

Mastering C++ Multithreading

3.1 (12)
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 (11 chapters)
close
close
8
Atomic Operations - Working with the Hardware

The 2011 standard


The 2011 revision to the C++ standard (commonly referred to as C++11) adds a wide range of new features, the most crucial one being the addition of native multithreading support, which adds the ability to create, manage, and use threads within C++ without the use of third-party libraries.

This standard standardizes the memory model for the core language to allow multiple threads to coexist as well as enables features such as thread-local storage. Initial support was added in the C++03 standard, but the C++11 standard is the first to make full use of this.

As noted earlier, the actual threading API itself is implemented in the STL. One of the goals for the C++11 (C++0x) standard was to have as many of the new features as possible in the STL, and not as part of the core language. As a result, in order to use threads, mutexes, and kin, one has to first include the relevant STL header.

The standards committee which worked on the new multithreading API each had their own sets of...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Mastering C++ Multithreading
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon