Mastering c++ Multithreading: Write Robust, Concurrent, and Parallel Applications
Maya Posch
Synopsis "Mastering c++ Multithreading: Write Robust, Concurrent, and Parallel Applications "
Master multithreading and concurrent processing with C++Key FeaturesDelve into the fundamentals of multithreading and concurrency and find out how to implement themExplore atomic operations to optimize code performanceApply concurrency to both distributed computing and GPGPU processingBook DescriptionMultithreaded 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++.What you will learnDeep dive into the details of the how various operating systems currently implement multithreadingChoose the best multithreading APIs when designing a new applicationExplore the use of mutexes, spin-locks, and other synchronization concepts and see how to safely pass data between threadsUnderstand the level of API support provided by various C++ toolchainsResolve common issues in multithreaded code and recognize common pitfalls using tools such as Memcheck, CacheGrind, DRD, Helgrind, and moreDiscover the nature of atomic operations and understand how they can be useful in optimizing codeImplement a multithreaded application in a distributed computing environmentDesign a C++-based GPGPU application that employs multithreadingTable of ContentsRevisiting multithreadingMultithreading implementation on the processor and OSC++ Multithreading APIsThread synchronization and communicationNative C++ threads and primitivesDebugging multi-threaded codeBest PracticesAtomic operations: working with the hardwareMultithreading with distributed computingMultithreading with GPGPU
