Book Image

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

By : Shakti Tanwar
Book Image

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

By: Shakti 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

Moving from sequential loops to parallel loops

The TPL supports data parallelism through the System.Threading.Tasks.Parallel class, which provides parallel implementation of the For and Foreach loops. As a developer, you don't need to worry about synchronization or creating tasks as this is handled by the parallel class. This syntactic sugar allows you to easily write parallel loops in a way that's similar to how you have been writing sequential loops.

Here is an example of a sequential for loop that books a trade by posting the trade object to the server:

foreach (var trade in trades)
{
Book(trade);
}

Since the loop is sequential, the total time that it takes to finish the loop is the time it takes to book one trade multiplied by the total number of trades. This means that the loop slows down as the number of trades increases, although the trade booking time remains...