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

Potential issues


When writing MPI-based applications and executing them on either a multi-core CPU or cluster, the issues one may encounter are very much the same as those we already came across with the multithreaded code in the preceding chapters.

However, an additional worry with MPI is that one relies on the availability of network resources. Since a send buffer used for an MPI_Send call cannot be reclaimed until the network stack can process the buffer, and this call is a blocking type, sending lots of small messages can lead to one process waiting for another, which in turn is waiting for a call to complete.

This type of deadlock should be kept in mind when designing the messaging structure of an MPI application. One can, for example, ensure that there are no send calls building up on one side, which would lead to such a scenario. Providing feedback messages on, queue depth and similar could be used to the ease pressure.

MPI also contains a synchronization mechanism using a so-called...