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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

Exploring topologies

So far, we've looked at some complete communication networks where each processor can communicate with the others directly, without the need for any switch. This arrangement serves well when there is a small number of processors but can become a real pain if the number of processors needs to be increased. There are various other performance topologies available that can be used. There are two important aspects while measuring the performance of a graph in a topology:

  • The diameter of the graph: The longest path between the nodes.
  • Bisection bandwidth: The bandwidth across the smallest cut that divides the network into two equal halves. This is important for networks where each processor needs to communicate with the others.

The following are examples of some network topologies.

...

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