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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

Introducing the TPL Dataflow library

The TPL Dataflow library has been available for as long as TPL itself. It was released in 2010 after .NET Framework 4.0 reached its RTM milestone. The members of the dataflow library are part of the System.Threading.Tasks.Dataflow namespace. The dataflow library is intended to build on the basics of parallel programming that are provided in TPL, expanding to address data flow scenarios (hence the name of the library). The dataflow library is made up of foundational classes called blocks. Each data flow block is responsible for a particular action or step in the overall flow.

The dataflow library consists of three basic types of blocks:

  • Source blocks: These blocks implement the ISourceBlock<TOutput> interface. Source blocks can have their data read from the workflow you define.
  • Target blocks: This type of block implements the ITargetBlock<TInput> interface and is a data receiver.
  • Propagator blocks: These blocks act...
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