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

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

By : Alvin Ashcraft
4.1 (8)
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Parallel Programming and Concurrency with C# 10 and .NET 6

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

4.1 (8)
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)
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1
Part 1:Introduction to Threading in .NET
6
Part 2: Parallel Programming and Concurrency with C#
12
Part 3: Advanced Concurrency Concepts

Summary

In this chapter, we discussed some best practices to follow when working with managed threads in C# and .NET. We started by creating some examples of how to manage and process static data in a multithreaded application. The examples illustrated how to leverage locks, work with singletons, and how static constructors can impact performance when working with static data. Next, we explored some techniques for avoiding deadlocks and race conditions. Both pitfalls can be avoided if you design your algorithms to minimize the need for locking. Finally, we looked at some features of .NET that can adjust the limits of several parallel and thread pool operations.

At this point, you are well prepared to start using managed threads responsibly in your .NET projects. For some further reading on best practices with managed threading, you can check out some recommendations on Microsoft Docs: https://docs.microsoft.com/en-us/dotnet/standard/threading/managed-threading-best-practices.

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