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
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Full coverage of new C++ 17 features
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Starting and managing threads
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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
