Mastering C++ Multithreading

Master multithreading and concurrent processing with C++ Key Features \[\*\] Delve into the fundamentals of multithreading and concurrency and find out how to implement them \[\*\] Explore atomic operations to optimize code performance \[\*\] Apply concurrency to both distributed computing and GPGPU processing Book 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 learn \[\*\] Deep dive into the details of the how various operating systems currently implement multithreading \[\*\] Choose the best multithreading APIs when designing a new application \[\*\] Explore the use of mutexes, spin-locks, and other synchronization concepts and see how to safely pass data between threads \[\*\] Understand the level of…