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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

Learning the difference between concurrency and parallelism

Concurrency and parallelism are often mistaken for the same thing, but they are different. Concurrency does many tasks at the same time using multi-threading. Multi-threading allots time to various threads based on time/context switching. This presents the illusion that the computer is doing multiple things at the same time. But it is, in reality, only doing one thing. Parallelism, on the other hand, does many things all at the same time.

Concurrency is used to manage multiple computations simultaneously. It accomplishes this using interleaving operations. The benefit of concurrency is that it increases the amount of work that can be completed over time. It uses context switching to perform interleaving operations. Concurrency can work with a single processor. You are already aware of concurrency at work, as you will have had multiple applications running at the same time. All these programs are making use of concurrency...

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