Multithreaded applications execute multiple threads in a single processor environment, to achieve. Filled with practical examples, this book will help you become a master at writing robust concurrent and parallel applications in C++. In this book, you will delve into the fundamentals of multithreading and concurrency and find out how to implement them. While doing so, you will explore atomic operations to optimize code performance and also apply concurrency to both distributed computing and GPGPU processing.
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Book Overview & Buying
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Table Of Contents
Mastering C++ Multithreading
By :
Mastering C++ Multithreading
By:
Overview of this book
Multithreaded 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++.
Table of Contents (11 chapters)
Preface
Free Chapter
Revisiting Multithreading
Multithreading Implementation on the Processor and OS
C++ Multithreading APIs
Thread Synchronization and Communication
Native C++ Threads and Primitives
Debugging Multithreaded Code
Best Practices
Atomic Operations - Working with the Hardware
Multithreading with Distributed Computing
