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  • Book Overview & Buying Mastering C# Concurrency
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Mastering C# Concurrency

Mastering C# Concurrency

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Mastering C# Concurrency

Mastering C# Concurrency

2.3 (3)

Overview of this book

Starting with the traditional approach to concurrency, you will learn how to write multithreaded concurrent programs and compose ways that won't require locking. You will explore the concepts of parallelism granularity, and fine-grained and coarse-grained parallel tasks by choosing a concurrent program structure and parallelizing the workload optimally. You will also learn how to use task parallel library, cancellations, timeouts, and how to handle errors. You will know how to choose the appropriate data structure for a specific parallel algorithm to achieve scalability and performance. Further, you'll learn about server scalability, asynchronous I/O, and thread pools, and write responsive traditional Windows and Windows Store applications. By the end of the book, you will be able to diagnose and resolve typical problems that could happen in multithreaded applications.
Table of Contents (12 chapters)
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11
Index

Summary


In this chapter, we have seen the implementation details of traditional Windows application UIs that are usually hidden by the programming platform and high-level UI frameworks. We have learned about what the UI thread and message loop are, and why they are very important to keep the UI thread running and not blocking it with long-running code. Then we learned about the common problems of asynchrony in the UI, and how to avoid deadlocks and multithreaded access to the UI controls' exceptions.

One of the most important topics covered in this chapter was the C# asynchronous infrastructure internals, showing how the await statement works, and how we can improve application performance by choosing not to keep the current synchronization context.

In the next chapter, we will look at troubleshooting concurrent programs in greater detail. We will know about many exciting features of Visual Studio for profiling and debugging parallel programs and find out how to catch more errors in the development...

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