C++ Concurrency in Action by Anthony Williams

Summary

This bestseller has been updated and revised to cover all the latest changes to C++ 14 and 17! C++ Concurrency in Action, Second Edition teaches you everything you need to write robust and elegant multithreaded applications in C++17.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

You choose C++ when your applications need to run fast. Well-designed concurrency makes them go even faster. C++ 17 delivers strong support for the multithreaded, multiprocessor programming required for fast graphic processing, machine learning, and other performance-sensitive tasks. This exceptional book unpacks the features, patterns, and best practices of production-grade C++ concurrency.

About the Book

C++ Concurrency in Action, Second Edition is the definitive guide to writing elegant multithreaded applications in C++. Updated for C++ 17, it carefully addresses every aspect of concurrent development, from starting new threads to designing fully functional multithreaded algorithms and data structures. Concurrency master Anthony Williams presents examples and practical tasks in every chapter, including insights that will delight even the most experienced developer.

What's inside

Full coverage of new C++ 17 features
Starting and managing threads
Synchronizing concurrent operations
Designing concurrent code
Debugging multithreaded applications

About the Reader

Written for intermediate C and C++ developers. No prior experience with concurrency required.

About the Author

Anthony Williams has been an active member of the BSI C++ Panel since 2001 and is the developer of the just::thread Pro extensions to the C++ 11 thread library.

Table of Contents

Hello, world of concurrency in C++!
Managing threads
Sharing data between threads
Synchronizing concurrent operations
The C++ memory model and operations on atomic types
Designing lock-based concurrent data structures
Designing lock-free concurrent data structures
Designing concurrent code
Advanced thread management
Parallel algorithms
Testing and debugging multithreaded applications