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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

Using the Task Parallel Library (TPL)

In this chapter, we will be working with TPL to enhance the performance of our programs by making use of the available processor power on a machine.

We learned how to write threads and execute them in Chapter 14, Multi-Threaded Programming. When multiple threads are running on a single processor, providing the illusion that they are running in parallel, they are running concurrently.

When threads run concurrently, the processor uses a scheduling algorithm and/or interrupts to determine the switching and prioritization between threads. Parallel programming, however, runs different threads on different processors so that threads execute in parallel to each other with a reduced need for switching and thread interrupts.

As its name suggests, TPL is used to run tasks in parallel. Tasks are run in parallel by running each task against a separate core of the computer’s processor. So, for example, say your computer has four cores and you...

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