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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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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

Debugging Tasks Using Visual Studio

Parallel programming can improve the performance and responsiveness of applications, but sometimes the results are not as expected. Common problems related to parallel/asynchronous code are performance and correctness.

With performance, we mean that the results of execution are slow. With correctness, we mean that results are not as expected (this might be due to race conditions). Another big issue when dealing with multiple concurrent tasks is deadlocks. Debugging multithreaded code is always a challenge as threads keep switching while you are debugging. While working on GUI-based applications, it's also important to find out which thread is running our code.

In this chapter, we will explain how to debug threads using tools available in Visual Studio, including the Threads window, the Tasks window, and Concurrency Visualizer.

In this chapter...

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