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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

Interlocked operations

The interlocked class encapsulates synchronization primitives and is used to provide atomic operations to variables that are shared across threads. It provides methods such as Increment, Decrement, Add, Exchange, and CompareExchange.

Consider the following code, which tries to increment a counter inside a parallel loop:

Parallel.For(1, 1000, i =>
{
Thread.Sleep(100);
_counter++;
});
Console.WriteLine($"Value for counter should be 999 and
is {_counter}");

If we run this code, we will see the following output:

As you can see, the expected value and the actual value do not match. This is because of the race condition among the threads, which has arisen because the thread wants to read a value from a variable to which the value has been written but not yet committed.

We can modify the preceding code...

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