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

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

By : Tanwar
3.8 (6)
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Hands-On Parallel Programming with C# 8 and .NET Core 3

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

3.8 (6)
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)
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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

Handling task exceptions

Exception handling is one of the most important aspects of parallel programming. All good clean code practitioners focus on handling exceptions efficiently. This becomes even more important with parallel programming as any unhandled exceptions in threads or tasks can cause the application to crash abruptly. Fortunately, TPL provides a nice, efficient design to handle and manage exceptions. Any unhandled exceptions that occur in a task are deferred and then propagated to a joining thread, which observes the task for exceptions.

Any exception that occurs inside a task is always wrapped under the AggregateException class and returned to the caller that is observing the exceptions. If the caller is waiting on a single task, the inner exception property of the AggregateException class will return the original exception. If the caller is waiting for multiple...

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