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

Threading limits and other recommendations

So, it sounds like using multiple threads can really speed up your application’s performance. You should probably start replacing all your foreach loops with Parallel.ForEach loop and start calling all your services and helper methods on thread pool threads, right? Are there any limits and what are they? Well, when it comes to threading, there absolutely are limits.

The number of threads that can execute simultaneously is limited by the number of processors and processor cores on the system. There is no way around hardware limitations, as the CPU (or virtual CPU when running on a virtual machine) can only run so many threads. In addition, your application must share these CPUs with other processes running on the system. If your CPU has four cores, it is actively running five other applications, and your program is trying to execute a process with multiple threads, the system is not likely to accept more than one of your threads at...