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

Product type Paperback

Published in Jul 2022

Publisher Packt

ISBN-13 9781800564718

Length 660 pages

Edition 1st Edition

Languages

Tools

.NET

Concepts

High Performance Programming

Author (1):

Jason Alls

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Table of Contents (22) Chapters

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

Chapter 15: Parallel Programming

In this chapter, you will learn how to take advantage of the multiple CPU cores that are available in today’s modern computers. You will learn how to process your code by distributing the work between processes concurrently, as well as how to use the Task Parallel Library (TPL) and Parallel LINQ (PLINQ) to run code in parallel. Throughout this book, you will learn how to use parallel data structures and use the Visual Studio debugger to diagnose tasks and parallel stacks. You will also learn about the Concurrency Visualizer.

In this chapter, we will cover the following topics:

Using the Task Parallel Library (TPL): In this section, we will compare parallel and non-parallel code and its effect on CPU core utilization using perfmon.
Using Parallel LINQ (PLINQ): In this section, we will look at PLINQ and how it can be used to execute LINQ statements with varying degrees of parallelism.
Programming parallel data structures: In...

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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

Table of Contents (22) Chapters

Chapter 15: Parallel Programming

Authors (1)

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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

Table of Contents (22) Chapters

Chapter 15: Parallel Programming

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