C++ Concurrency in Action

SummaryThis 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 TechnologyYou 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 BookC++ 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 insideFull coverage of new C++ 17 featuresStarting and managing threadsSynchronizing concurrent operationsDesigning concurrent codeDebugging multithreaded applicationsAbout the ReaderWritten for intermediate C and C++ developers. No prior experience with concurrency required.About the AuthorAnthony 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 ContentsHello, world of concurrency in C++!Managing threadsSharing data between threadsSynchronizing concurrent operationsThe C++ memory model and operations on atomic typesDesigning lock-based concurrent data structuresDesigning lock-free concurrent data structuresDesigning concurrent codeAdvanced thread managementParallel algorithmsTesting and debugging multithreaded applications