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

I/O and CPU-bound tasks


If we consider any CPU-intensive work that our server application can run instead of Thread.Sleep, we will find that this application will suffer from the same problem. Worker threads will become busy quite quickly, and there is not much that we can do about this. We can try to change our application logic to work around this problem, and we will get back to this problem at the end of the chapter.

However, besides CPU-bound operations, there are tasks related to input/output processes, such as reading or writing a file, issuing a network request, or even performing a query against a database. These operations usually take much more time compared to CPU-bound work, and potentially they should be more problematic to our server application. I/O-bound work can take seconds. So does this mean that our worker threads will be locked for a longer time and the application will fail to scale?

Fortunately, there is one more component of the I/O-bound operation. When we mention...