Multithreading in C# 5.0 Cookbook

Multithreading in C# 5.0 Cookbook

By : Evgenii Agafonov

Buy this Book

Multithreading in C# 5.0 Cookbook

By: Evgenii Agafonov

Buy this Book

Overview of this book

In an age when computer processors are being developed to contain more and more cores, multithreading is a key factor for creating scalable, effective, and responsive applications. If you fail to do it correctly, it can lead to puzzling problems that take a huge amount of time to resolve. Therefore, having a solid understanding of multithreading is a must for the modern application developer. Multithreading in C# 5.0 Cookbook is an easy-to-understand guide to the most puzzling programming problems. This book will guide you through practical examples dedicated to various aspects of multithreading in C# on Windows and will give you a good basis of practical knowledge which you can then use to program your own scalable and reliable multithreaded applications. This book guides you through asynchronous and parallel programming from basic examples to practical, real-world solutions to complex problems. You will start from the very beginning, learning what a thread is, and then proceed to learn new concepts based on the information you get from the previous examples. After describing the basics of threading, you will be able to grasp more advanced concepts like Task Parallel Library and C# asynchronous functions. Then, we move towards parallel programming, starting with basic data structures and gradually progressing to the more advanced patterns. The book concludes with a discussion of the specifics of Windows 8 application programming, giving you a complete understanding of how Windows 8 applications are different and how to program asynchronous applications for Windows 8.

Multithreading in C# 5.0 Cookbook

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

Free Chapter

Threading Basics

Introduction

Creating a thread in C#

Pausing a thread

Making a thread wait

Aborting a thread

Determining a thread state

Thread priority

Foreground and background threads

Passing parameters to a thread

Locking with a C# lock keyword

Locking with a Monitor construct

Handling exceptions

Thread Synchronization

Introduction

Performing basic atomic operations

Using the Mutex construct

Using the SemaphoreSlim construct

Using the AutoResetEvent construct

Using the ManualResetEventSlim construct

Using the CountDownEvent construct

Using the Barrier construct

Using the ReaderWriterLockSlim construct

Using the SpinWait construct

Using a Thread Pool

Introduction

Invoking a delegate on a thread pool

Posting an asynchronous operation on a thread pool

Thread pool and the degree of parallelism

Implementing a cancellation option

Using a wait handle and timeout with a thread pool

Using a timer

Using the BackgroundWorker component

Using Task Parallel Library

Introduction

Creating a task

Performing basic operations with a task

Combining tasks together

Converting the APM pattern to tasks

Converting the EAP pattern to tasks

Implementing a cancellation option

Handling exceptions in tasks

Running tasks in parallel

Tweaking tasks execution with TaskScheduler

Using C# 5.0

Introduction

Using the await operator to get asynchronous task results

Using the await operator in a lambda expression

Using the await operator with consequent asynchronous tasks

Using the await operator for the execution of parallel asynchronous tasks execution

Handling exceptions in the asynchronous operations

Avoid using the captured synchronization context

Working around the async void method

Designing a custom awaitable type

Using the dynamic type with await

Using Concurrent Collections

Introduction

Using ConcurrentDictionary

Implementing asynchronous processing using ConcurrentQueue

Changing asynchronous processing order ConcurrentStack

Creating a scalable crawler with ConcurrentBag

Generalizing asynchronous processing with BlockingCollection

Using PLINQ

Introduction

Using the Parallel class

Parallelizing a LINQ query

Tweaking the parameters of a PLINQ query

Handling exceptions in a PLINQ query

Managing data partitioning in a PLINQ query

Creating a custom aggregator for a PLINQ query

Reactive Extensions

Introduction

Converting a collection to asynchronous Observable

Writing custom Observable

Using Subjects

Creating an Observable object

Using LINQ queries against the observable collection

Creating asynchronous operations with Rx

Using Asynchronous I/O

Introduction

Working with files asynchronously

Writing an asynchronous HTTP server and client

Working with a database asynchronously

Calling a WCF service asynchronously

Parallel Programming Patterns

Introduction

Implementing Lazy-evaluated shared states

Implementing Parallel Pipeline with BlockingCollection

Implementing Parallel Pipeline with TPL DataFlow

Implementing Map/Reduce with PLINQ

There's More

Introduction

Using a timer in a Windows Store application

Using WinRT from usual applications

Using BackgroundTask in Windows Store applications

Index

Customer Reviews

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Introduction

At some point of time in the past, the common computer had only one computing unit and could not execute several computing tasks simultaneously. However, operating systems could already work with multiple programs simultaneously, implementing the concept of multitasking. To prevent the possibility of one program taking control of the CPU, forever causing other applications and the operating system itself to hang, the operating systems had to split a physical computing unit across a few virtualized processors in some way and give a certain amount of computing power to each executing program. Moreover, an operating system must always have priority access to the CPU and should be able to prioritize CPU access to different programs. A thread is an implementation of this concept. It could be considered a virtual processor given to the one specific program that runs it independently.

Note

Remember that a thread consumes a significant amount of operating system resources. Trying to share one physical processor across many threads will lead to a situation where an operating system is busy just managing threads instead of running programs.

Therefore, while it was possible to enhance computer processors, making them execute more and more commands per second, working with threads was usually an operating system task. There was no sense in trying to compute some tasks in parallel on a single-core CPU because it would take more time than running those computations sequentially. However, when processors started to have more computing cores, older programs could not take advantage of this because they just used one processor core.

To use a modern processor's computing power effectively, it is very important to be able to compose a program in a way that it can use more than one computing core, which leads to organizing it as several threads communicating and synchronizing with each other.

The recipes in this chapter will focus on performing some very basic operations with threads in the C# language. We will cover a thread's lifecycle, which includes creating, suspending, making a thread wait, and aborting a thread, and then we will go through basic synchronization techniques.

Multithreading in C# 5.0 Cookbook

By : Evgenii Agafonov

Multithreading in C# 5.0 Cookbook

By: Evgenii Agafonov

Overview of this book

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Multithreading in C# 5.0 Cookbook

Introduction

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