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

More about asynchronous programming in .NET

There are two types of scenarios where async code is usually introduced:

  • I/O-bound operations: These involve resources fetched from the network or disk.
  • CPU-bound operations: These are in-memory, CPU-intensive operations.

In this section, we will create some real-world examples that use async and await for each type of operation. Whether you are waiting for an external process to complete or performing CPU-intensive operations within your application, you can leverage asynchronous code to improve your application’s performance.

Let’s start by looking at some examples of I/O-bound operations.

I/O-bound operations

When you are working with I/O-bound code that is constrained by file or network operations, your code should use async and await to wait for the operations to complete.

The .NET methods to perform network and file I/O are asynchronous, so the use of Task.Run will not be necessary: