Book Image

Hands-On Parallel Programming with C# 8 and .NET Core 3

By : Tanwar
Book Image

Hands-On Parallel Programming with C# 8 and .NET Core 3

By: Tanwar

Overview of this book

In today’s world, every CPU has a multi-core processor. However, unless your application has implemented parallel programming, it will fail to utilize the hardware’s full processing capacity. This book will show you how to write modern software on the optimized and high-performing .NET Core 3 framework using C# 8. Hands-On Parallel Programming with C# 8 and .NET Core 3 covers how to build multithreaded, concurrent, and optimized applications that harness the power of multi-core processors. Once you’ve understood the fundamentals of threading and concurrency, you’ll gain insights into the data structure in .NET Core that supports parallelism. The book will then help you perform asynchronous programming in C# and diagnose and debug parallel code effectively. You’ll also get to grips with the new Kestrel server and understand the difference between the IIS and Kestrel operating models. Finally, you’ll learn best practices such as test-driven development, and run unit tests on your parallel code. By the end of the book, you’ll have developed a deep understanding of the core concepts of concurrency and asynchrony to create responsive applications that are not CPU-intensive.
Table of Contents (22 chapters)
Free Chapter
1
Section 1: Fundamentals of Threading, Multitasking, and Asynchrony
6
Section 2: Data Structures that Support Parallelism in .NET Core
10
Section 3: Asynchronous Programming Using C#
13
Section 4: Debugging, Diagnostics, and Unit Testing for Async Code
16
Section 5: Parallel Programming Feature Additions to .NET Core

Scenarios where parallel programming can come in handy

The following are the scenarios in which parallel programming can be useful:

  • Creating a responsive UI for GUI-based applications: We can delegate all of the heavy lifting and time-consuming tasks to the worker thread, thereby allowing the UI thread to process user interactions and the UI repainting tasks.
  • Processing simultaneous requests: In server-side programming scenarios, we need to process a large number of concurrent users. We can create a separate thread to process each request. For example, we can use an ASP.NET request model, which makes use of ThreadPool and assigns a thread to every request that hits the server. Then, the thread takes care of processing the request and returning a response to the client. In a client-side scenario, we can call multiple mutually exclusive API calls via multithreading to save time...