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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

Data structures for parallel programming in .NET

When working with parallel programming in .NET, and with PLINQ, you should take advantage of the data structures, types, and primitives that .NET provides. In this section, we will touch on concurrent collections and synchronization primitives.

Concurrent collections

Concurrent collections are useful when working with parallel programming. We will cover them in great detail in Chapter 9, but let’s quickly discuss how we can leverage them when working with PLINQ queries.

If you are simply selecting and sorting data with PLINQ, it is not necessary to incur the overhead that is added with the collections in the System.Collections.Concurrent namespace. However, if you are calling a method with ForAll that modifies items in your source data, you should use one of these current collections, such as BlockingCollection<T>, ConcurrentBag<T>, or ConcurrentDictionary<TKey, TValue>. They can also guard against any...

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