Book Image

Mastering C# Concurrency

Book Image

Mastering C# Concurrency

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 (17 chapters)
Mastering C# Concurrency
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we looked at the C# language infrastructure that supports asynchronous calls. We covered the new C# keywords, async and await, and how we can use Task Parallel Library with the new C# syntax. We learned how C# generates code and creates a state machine that represents an asynchronous operation, and we implemented an analogue solution with the help of iterator methods and the yield keyword. Besides this, we studied additional Task Parallel Library features and looked at how we can use await with any custom type.

In the next chapter, we will learn about data structures that are built for concurrency and common algorithms that rely on them.