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 have reviewed a problem of parallel computations granularity. We have tried different ways to split our program into concurrently executing pieces and saw the performance impact in each case. Also, we've implemented a real computation task of rendering spheres with a ray tracing algorithm and learned to parallelize it with threads and Task Parallel Library.

In the next chapter, we will continue to learn Task Parallel Library. We shall review this framework in detail and clarify every aspect of using it including how the tasks are being run, how we combine tasks together, and how to handle exceptions and timeouts.