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

Throwing and handling exceptions with PLINQ

Just like other parallel primitives, PLINQ throws a System.AggregateException whenever it encounters an exception. Exception handling largely depends on your design. You may want the program to fail as soon as possible or you may want all the exceptions to be returned to the caller.

In the following example, we will wrap a parallel query inside a try-catch block. When the query throws an exception, it will propagate back to the caller, wrapped in System.AggregateException:

var range = ParallelEnumerable.Range(1, 20);
ParallelQuery<int> query= range.Select(i => i / (i - 10)).WithDegreeOfParallelism(2);
query.ForAll(i => Console.WriteLine(i));
catch (AggregateException aggregateException)
foreach (var ex in aggregateException.InnerExceptions)
if (ex is DivideByZeroException...