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

You're reading from   Hands-On Parallel Programming with C# 8 and .NET Core 3 Build solid enterprise software using task parallelism and multithreading

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781789132410
Length 346 pages
Edition 1st Edition
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Author (1):
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Shakti Tanwar Shakti Tanwar
Author Profile Icon Shakti Tanwar
Shakti Tanwar
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Fundamentals of Threading, Multitasking, and Asynchrony FREE CHAPTER
2. Introduction to Parallel Programming 3. Task Parallelism 4. Implementing Data Parallelism 5. Using PLINQ 6. Section 2: Data Structures that Support Parallelism in .NET Core
7. Synchronization Primitives 8. Using Concurrent Collections 9. Improving Performance with Lazy Initialization 10. Section 3: Asynchronous Programming Using C#
11. Introduction to Asynchronous Programming 12. Async, Await, and Task-Based Asynchronous Programming Basics 13. Section 4: Debugging, Diagnostics, and Unit Testing for Async Code
14. Debugging Tasks Using Visual Studio 15. Writing Unit Test Cases for Parallel and Asynchronous Code 16. Section 5: Parallel Programming Feature Additions to .NET Core
17. IIS and Kestrel in ASP.NET Core 18. Patterns in Parallel Programming 19. Distributed Memory Management 20. Assessments 21. Other Books You May Enjoy

Summary

In this chapter, we have learned about the synchronization primitives that are provided by .NET Core. Synchronized primitives are a must if you want to write parallel code and ensure that it is correct, even when multiple threads are working on it. Synchronization primitives come with performance overheads and the use of their slim counterparts is advised wherever possible.

We learned about signaling primitives as well, which can come in very handy when threads need to work on some external events. We also discussed the barrier and countdown events, which help us avoid code synchronization issues without the need to write additional logic. Finally, we introduced some spinning techniques, which take away performance overheads that arise from blocking code, that is, SpinLock and SpinWait.

In the next chapter, we will learn about the various data structures provided by .NET...

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