Book Image

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

By : Alvin Ashcraft
5 (1)
Book Image

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

5 (1)
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)
1
Part 1:Introduction to Threading in .NET
6
Part 2: Parallel Programming and Concurrency with C#
12
Part 3: Advanced Concurrency Concepts

Beyond threading basics

Before we introduce parallel programming, concurrency, and async programming with .NET and C#, we have a few more threading concepts to cover. The most important of these is the .NET managed thread pool, which is used by awaited method calls that execute asynchronously in C#.

Managed thread pool

The ThreadPool class in the System.Threading namespace has been part of .NET since the beginning. It provides developers with a pool of worker threads that they can leverage to perform tasks in the background. In fact, that is one of the key characteristics of thread pool threads. They are background threads that run at the default priority. When one of these threads completes its task, it is returned to the pool of available threads to await its next task. You can queue as many tasks to the thread pool as the available memory will support, but the number of active threads is limited by the number that the operating system can allocate to your application, based...