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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

Work-stealing queues

Work-stealing is a performance optimization technique for a thread pool. Every thread pool maintains a single global queue of tasks that are created inside a process. In Chapter 1, Introduction to Parallel Programming, we learned that the thread pool maintains an optimal number of worker threads to work on tasks. The ThreadPool also maintains a thread global queue, where it queues all the work items before they can be assigned to available threads. Since this is a single queue and we work in multithreaded scenarios, we need to implement thread-safety using synchronization primitives. With a single global queue, synchronization leads to performance loss.

The .NET Framework works around this performance loss by introducing the concept of local queues, which are managed by threads. Each thread has access to a global queue and also maintains its own thread-local...

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