Book Image

Parallel Programming and Concurrency with C# 10 and .NET 6

By : Alvin Ashcraft
Book Image

Parallel Programming and Concurrency with C# 10 and .NET 6

By: Alvin Ashcraft

Overview of this book

.NET has included managed threading capabilities since the beginning, but early techniques had inherent risks: memory leaks, thread synchronization issues, and deadlocks. This book will help you avoid those pitfalls and leverage the modern constructs available in .NET 6 and C# 10, while providing recommendations on patterns and best practices for parallelism and concurrency. Parallel, concurrent, and asynchronous programming are part of every .NET application today, and it becomes imperative for modern developers to understand how to effectively use these techniques. This book will teach intermediate-level .NET developers how to make their applications faster and more responsive with parallel programming and concurrency in .NET and C# with practical examples. The book starts with the essentials of multi-threaded .NET development and explores how the language and framework constructs have evolved along with .NET. You will later get to grips with the different options available today in .NET 6, followed by insights into best practices, debugging, and unit testing. By the end of this book, you will have a deep understanding of why, when, and how to employ parallelism and concurrency in any .NET application.
Table of Contents (18 chapters)
Part 1:Introduction to Threading in .NET
Part 2: Parallel Programming and Concurrency with C#
Part 3: Advanced Concurrency Concepts

Introduction to parallelism

While exploring the history of threading in C# and .NET, we learned that parallelism was introduced to developers in .NET Framework 4.0. In this section, the aspects that will be explored are exposed in the TPL through the System.Threading.Tasks.Parallel class. In addition, we will cover some of the basics of PLINQ through examples. These data parallelism concepts will be covered in greater detail with real-world examples in Chapter 6, Chapter 7, and Chapter 8.

At a high level, parallelism is the concept of executing multiple tasks in parallel. These tasks could be related to one another, but this is not a requirement. In fact, related tasks running in parallel run a greater risk of encountering synchronization issues or blocking one another. For example, if your application loads order data from an orders service and user preferences and application state from an Azure blob store, these two processes can be run in parallel without having to worry about...