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

You're reading from   Parallel Programming and Concurrency with C# 10 and .NET 6 A modern approach to building faster, more responsive, and asynchronous .NET applications using C#

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803243672
Length 320 pages
Edition 1st Edition
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Author (1):
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Alvin Ashcraft Alvin Ashcraft
Author Profile Icon Alvin Ashcraft
Alvin Ashcraft
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Introduction to Threading in .NET
2. Chapter 1: Managed Threading Concepts FREE CHAPTER 3. Chapter 2: Evolution of Multithreaded Programming in .NET 4. Chapter 3: Best Practices for Managed Threading 5. Chapter 4: User Interface Responsiveness and Threading 6. Part 2: Parallel Programming and Concurrency with C#
7. Chapter 5: Asynchronous Programming with C# 8. Chapter 6: Parallel Programming Concepts 9. Chapter 7: Task Parallel Library (TPL) and Dataflow 10. Chapter 8: Parallel Data Structures and Parallel LINQ 11. Chapter 9: Working with Concurrent Collections in .NET 12. Part 3: Advanced Concurrency Concepts
13. Chapter 10: Debugging Multithreaded Applications with Visual Studio 14. Chapter 11: Canceling Asynchronous Work 15. Chapter 12: Unit Testing Async, Concurrent, and Parallel Code 16. Assessments 17. Other Books You May Enjoy

Choosing the right path forward

Now that you have been introduced to some advanced managed threading concepts, parallel programming, concurrent collections, and the async/await paradigm, let’s discuss how they all fit together in the real world. Choosing the right path forward with multithreaded development in .NET will usually involve more than one of these concepts.

When working with .NET 6, you should usually choose to create async methods in your projects. The reasons discussed in this chapter are compelling. Asynchronous programming keeps both client and server applications responsive, and async is used extensively throughout .NET itself.

Some of the Parallel class operations can be leveraged when your code needs to process a set of items quickly and the underlying code doing the processing is thread-safe. This is one place where concurrent collections can be introduced. If any parallel or async operations are manipulating shared data, the data should be stored in...

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