Book Image

Mastering C# and .NET Framework

Book Image

Mastering C# and .NET Framework

Overview of this book

Mastering C# and .NET Framework will take you in to the depths of C# 6.0/7.0 and .NET 4.6, so you can understand how the platform works when it runs your code, and how you can use this knowledge to write efficient applications. Take full advantage of the new revolution in .NET development, including open source status and cross-platform capability, and get to grips with the architectural changes of CoreCLR. Start with how the CLR executes code, and discover the niche and advanced aspects of C# programming – from delegates and generics, through to asynchronous programming. Run through new forms of type declarations and assignments, source code callers, static using syntax, auto-property initializers, dictionary initializers, null conditional operators, and many others. Then unlock the true potential of the .NET platform. Learn how to write OWASP-compliant applications, how to properly implement design patterns in C#, and how to follow the general SOLID principles and its implementations in C# code. We finish by focusing on tips and tricks that you'll need to get the most from C# and .NET. This book also covers .NET Core 1.1 concepts as per the latest RTM release in the last chapter.
Table of Contents (21 chapters)
Mastering C# and .NET Framework
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
Index

Parallel programming


As you may remember, we've already talked about asynchronous programming, when we were dealing with the async/await keywords that appeared in .NET Framework 4.5 as a solution to avoid performance bottlenecks and improve the overall responsiveness of our applications.

Parallelism was present earlier, in version 4.0 of the framework, and it was programmatically related to the Task Parallel Library (TPL). But first, let's define the concept of parallelism (at least according to Wikipedia):

"Parallelism is a form of computation in which several operations can execute simultaneously. It's based on the 'Divide and Conquer' principle, fragmenting a task in smaller tasks, which are later solved in parallel."

This is, obviously related to hardware, and we should be aware of the difference between multiple processors and multiple cores. As Rodney Ringler says in his excellent book C# Multithreading and Parallel Programming by Packt Publishing:

"A multiple core CPU has more than one...