Author: Maya Posch
Pub Date: 2017
Size: 10 Mb
Master multithreading and concurrent processing with C++
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++.
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 API support provided by various C++ toolchains
- Resolve common issues in multithreaded code and recognize common pitfalls using tools such as Memcheck, CacheGrind, DRD, Helgrind, and more
- Discover the nature of atomic operations and understand how they can be useful in optimizing code
- Implement a multithreaded application in a distributed computing environment
- Design a C++-based GPGPU application that employs multithreading