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
Section 1: Fundamentals of Threading, Multitasking, and Asynchrony
Section 2: Data Structures that Support Parallelism in .NET Core
Section 3: Asynchronous Programming Using C#
Section 4: Debugging, Diagnostics, and Unit Testing for Async Code
Section 5: Parallel Programming Feature Additions to .NET Core

Understanding the degree of parallelism

So far, we have learned how data parallelism gives us the advantage of running loops in parallel on multiple cores of a system, thereby making efficient use of the available CPU resources. You should be aware that there is another important concept that you can use in order to control how many tasks you want to create in your loops. This concept is called the degree of parallelism. It's a number that specifies the maximum number of tasks that can be created by your parallel loops. You can set the degree of parallelism via a property called MaxDegreeOfParallelism, which is part of the ParallelOptions class. The following is the syntax of Parallel.For, wherein you can pass the ParallelOptions instance:

public static ParallelLoopResult For(
int fromInclusive,
int toExclusive,
ParallelOptions parallelOptions,