Mastering C++ Multithreading: Write robust, concurrent, and parallel applications

Mastering C++ Multithreading: Write robust, concurrent, and parallel applications

<h4>Key Features</h4><ul><li>Delve into the fundamentals of multithreading and concurrency and find out how to implement them</li><li>Explore atomic operations to optimize code performance</li><li>Apply concurrency to both distributed computing and GPGPU processing</li></ul><h4>Book Description</h4><p>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++.</p><p>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.</p><p>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++.</p><p>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++.</p><h4>What you will learn</h4><ul><li>Deep dive into the details of the how various operating systems currently implement multithreading</li><li>Choose the best multithreading APIs when designing a new application</li><li>Explore the use of mutexes, spin-locks, and other synchronization concepts and see how to safely pass data between threads</li><li>Understand the level of API support provided by various C++ toolchains</li><li>Resolve common issues in multithreaded code and recognize common pitfalls using tools such as Memcheck, CacheGrind, DRD, Helgrind, and more</li><li>Discover the nature of atomic operations and understand how they can be useful in optimizing code</li><li>Implement a multithreaded application in a distributed computing environment</li><li>Design a C++-based GPGPU application that employs multithreading</li></ul><h4>About the Author</h4><p><b>Maya Posch</b> is a software engineer by trade and a self-professed electronics, robotics, and AI nut, running her own software development company, Nyanko, with her good friend, Trevor Purdy, where she works on various game development projects and some non-game projects. Apart from this, she does various freelance jobs for companies around the globe. You can visit her LinkedIn profile for more work-related details.</p><p>Aside from writing software, she likes to play with equations and write novels, such as her awesome reimagining of the story of the Nintendo classic, Legend of Zelda: Ocarina of Time, and the survival-horror novel she recently started, Viral Desire. You can check out her Scribd profile for a full listing of her writings.</p><p>Maya is also interested in biochemistry, robotics, and reverse-engineering of the human body. To know more about her, visit her blog, Artificial Human. If there's anything she doesn't lack, it has to be sheer ambition, it seems.</p><h4>Table of Contents</h4><ol><li>Revisiting multithreading</li><li>Multithreading implementation on the processor and OS</li><li>C++ Multithreading APIs</li><li>Thread synchronization and communication</li><li>Native C++ threads and primitives</li><li>Debugging multi-threaded code</li><li>Best Practices</li><li>Atomic operations: working with the hardware</li><li>Multithreading with distributed computing</li><li>Multithreading with GPGPU</li></ol>