Book Image

Mastering C++ Multithreading

By : Maya Posch
Book Image

Mastering C++ Multithreading

By: Maya Posch

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 (17 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback
Atomic Operations - Working with the Hardware

Chapter 9. Multithreading with Distributed Computing

Distributed computing was one of the original applications of multithreaded programming. Back when every personal computer just contained a single processor with a single core, government and research institutions, as well as some companies would have multi-processor systems, often in the form of clusters. These would be capable of multithreaded processing; by splitting tasks across processors, they could speed up various tasks, including simulations, rendering of CGI movies, and the like.

Nowadays virtually every desktop-level or better system has more than a single processor core, and assembling a number of systems together into a cluster is very easy, using cheap Ethernet wiring. Combined with frameworks such as OpenMP and Open MPI, it's quite easy to expand a C++ based (multithreaded) application to run on a distributed system.

Topics in this chapter include:

  • Integrating OpenMP and MPI in a multithreaded C++ application
  • Implementing a...