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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

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...

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