Book Image

Multithreading with C# Cookbook, Second Edition - Second Edition

By : Evgenii Agafonov
Book Image

Multithreading with C# Cookbook, Second Edition - Second Edition

By: Evgenii Agafonov

Overview of this book

Multi-core processors are synonymous with computing speed and power in today’s world, which is why multithreading has become a key concern for C# developers. Multithreaded code helps you create effective, scalable, and responsive applications. This is an easy-to-follow guide that will show you difficult programming problems in context. You will learn how to solve them with practical, hands-on, recipes. With these recipes, you’ll be able to start creating your own scalable and reliable multithreaded applications. Starting from learning what a thread is, we guide you through the basics and then move on to more advanced concepts such as task parallel libraries, C# asynchronous functions, and much more. Rewritten to the latest C# specification, C# 6, and updated with new and modern recipes to help you make the most of the hardware you have available, this book will help you push the boundaries of what you thought possible in C#.
Table of Contents (18 chapters)
Multithreading with C# Cookbook Second Edition
About the Author
About the Reviewers


Patterns in programming means a concrete and standard solution to a given problem. Usually, programming patterns are the result of people gathering experience, analyzing the common problems, and providing solutions to these problems.

Since parallel programming has existed for quite a long time, there are many different patterns that are used to program parallel applications. There are even special programming languages to make programming of specific parallel algorithms easier. However, this is where things start to become increasingly complicated. In this chapter, I will provide you with a starting point from where you will be able to study parallel programming further. We will review very basic, yet very useful, patterns that are quite helpful for many common situations in parallel programming.

First, we will be using a shared-state object from multiple threads. I would like to emphasize that you should avoid it as much as possible. As we discussed in previous chapters, a shared...