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Hands-On Parallel Programming with C# 8 and .NET Core 3: Build solid enterprise software using task parallelism and multithreading. Code

โœ Scribed by Shakti Tanwar


Publisher
Packt Publishing
Year
2019
Tongue
English
Category
Library

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โœฆ Synopsis


Code.

Enhance your enterprise application development skills by mastering parallel programming techniques in .NET and C#

Key Features

  • Write efficient, fine-grained, and scalable parallel code with C# and .NET Core
  • Experience how parallel programming works by building a powerful application
  • Learn the fundamentals of multithreading by working with IIS and Kestrel

Book Description

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.

What you will learn

  • Analyze and break down a problem statement for parallelism
  • Explore the APM and EAP patterns and how to move legacy code to Task
  • Apply reduction techniques to get aggregated results
  • Create PLINQ queries and study the factors that impact their performance
  • Solve concurrency problems caused by producer-consumer race conditions
  • Discover the synchronization primitives available in .NET Core
  • Understand how the threading model works with IIS and Kestrel
  • Find out how you can make the most of server resources

Who this book is for

If you want to learn how task parallelism is used to build robust and scalable enterprise architecture, this book is for you. Whether you are a beginner to parallelism in C# or an experienced architect, you'll find this book useful to gain insights into the different threading models supported in .NET Standard and .NET Core. Prior knowledge of C# is required to understand the concepts covered in this book.

Table of Contents

  1. Introduction to Parallel Programming
  2. Task Parallelism
  3. Data Parallelism
  4. Using PLINQ
  5. Synchronization Primitives
  6. Using Concurrent Collections
  7. Improving Performance with Lazy<T>
  8. Introduction to Asynchronous Programming
  9. Async, Await and Task Based Asynchronous programming basics
  10. Debugging Tasks using Visual Studio
  11. Writing Unit Test cases for Parallel and Asynchronous code
  12. IIS and Kestrel in Asp.net Core
  13. Patterns in Parallel Programming
  14. Distributed memory management


๐Ÿ“œ SIMILAR VOLUMES


Hands-On Parallel Programming with C# 8
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<p><b>Enhance your enterprise application development skills by mastering parallel programming techniques in .NET and C#</b></p> <h4>Key Features</h4> <ul><li>Write efficient, fine-grained, and scalable parallel code with C# and .NET Core </li> <li>Experience how parallel programming works by buildi

Hands-On Parallel Programming with C# 8
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<b> Learn, understand, and code parallel programs with confidence using C# 8 and .NET Core 3.0</b> <b>Key Features</b><li> Explore and work with the new features and enhancements in .NET Core 3.0 &amp; C# 8</li><li>Understand the fundamentals of parallel programming</li><li>Learn various threadin