Book Image

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

By : Alvin Ashcraft
Book Image

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

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

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...