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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
8
Atomic Operations - Working with the Hardware

Chapter 10. Multithreading with GPGPU

A fairly recent development has been to use video cards (GPUs) for general purpose computing (GPGPU). Using frameworks such as CUDA and OpenCL, it is possible to speed up, for example, the processing of large datasets in parallel in medical, military, and scientific applications. In this chapter, we will look at how this is done with C++ and OpenCL, and how to integrate such a feature into a multithreaded application in C++.

Topics in this chapter include:

  • Integrating OpenCL into a C++ based application
  • The challenges of using OpenCL in a multithreaded fashion
  • The impact of latency and scheduling on multithreaded performance