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

Build solid enterprise software using task parallelism and multithreading
1. Auflage 2024
ISBN: 978-1-78913-361-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 346 Seiten

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 DescriptionIn 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 forIf 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.

Autoren/Hrsg.

Tanwar, Shakti

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

Table of Contents - Introduction to Parallel Programming
- Task Parallelism
- Data Parallelism
- Using PLINQ
- Synchronization Primitives
- Using Concurrent Collections

- Improving Performance with Lazy - Introduction to Asynchronous Programming
- Async, Await and Task Based Asynchronous programming basics
- Debugging Tasks using Visual Studio
- Writing Unit Test cases for Parallel and Asynchronous code
- IIS and Kestrel in Asp.net Core
- Patterns in Parallel Programming
- Distributed memory management

Über Autor(innen)

Tanwar Shakti :

Shakti Tanwar is the CEO of Techpro Compsoft Pvt Ltd, a global provider of consulting in information technology services. He is a technical evangelist and software architect with more than 15 years of experience in software development and corporate training. Shakti is a Microsoft Certified Trainer and has been conducting training in association with Microsoft in the Middle East. His areas of expertise include.NET; Azure Machine Learning; artificial intelligence; applications of pure functional programming to build fault-tolerant, reactive systems; and parallel computing. His love for teaching led him to start a special "train the professors" program for the betterment of colleges in India.