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High-Performance Programming in C# and .NET

You're reading from   High-Performance Programming in C# and .NET Understand the nuts and bolts of developing robust, faster, and resilient applications in C# 10.0 and .NET 6

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781800564718
Length 660 pages
Edition 1st Edition
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Author (1):
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Jason Alls Jason Alls
Author Profile Icon Jason Alls
Jason Alls
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Table of Contents (22) Chapters Close

Preface 1. Part 1: High-Performance Code Foundation
2. Chapter 1: Introducing C# 10.0 and .NET 6 FREE CHAPTER 3. Chapter 2: Implementing C# Interoperability 4. Chapter 3: Predefined Data Types and Memory Allocations 5. Chapter 4: Memory Management 6. Chapter 5: Application Profiling and Tracing 7. Part 2: Writing High-Performance Code
8. Chapter 6: The .NET Collections 9. Chapter 7: LINQ Performance 10. Chapter 8: File and Stream I/O 11. Chapter 9: Enhancing the Performance of Networked Applications 12. Chapter 10: Setting Up Our Database Project 13. Chapter 11: Benchmarking Relational Data Access Frameworks 14. Chapter 12: Responsive User Interfaces 15. Chapter 13: Distributed Systems 16. Part 3: Threading and Concurrency
17. Chapter 14: Multi-Threaded Programming 18. Chapter 15: Parallel Programming 19. Chapter 16: Asynchronous Programming 20. Assessments 21. Other Books You May Enjoy

Summary

In this chapter, we began with a high-level overview of the task-based asynchronous pattern. Things we covered were naming, parameters, return types, initializing asynchronous operations, exceptions, and optionally providing ways to report progress updates and cancel operations. We saw that we can have asynchronous operations that allow cancellation, and those that don't allow cancellation. Plus, we learned that when a cancellation has been requested, the cancellation will either go ahead or be ignored. Completed tasks can have a completed state of Canceled, RanToCompletion, or Faulted.

We then benchmarked three different ways of calling a method synchronously, using Task.Run, and asynchronously. Using Task.Run took the longest time, followed by running the method synchronously, and running the method asynchronously was by far the quickest way to run the method.

Then we benchmarked GetAwaiter.GetResult(), Result, and Wait for both Task and TaskValue. We saw that...

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