Book Image

High-Performance Programming in C# and .NET

By : Jason Alls
Book Image

High-Performance Programming in C# and .NET

By: Jason Alls

Overview of this book

Writing high-performance code while building an application is crucial, and over the years, Microsoft has focused on delivering various performance-related improvements within the .NET ecosystem. This book will help you understand the aspects involved in designing responsive, resilient, and high-performance applications with the new version of C# and .NET. You will start by understanding the foundation of high-performance code and the latest performance-related improvements in C# 10.0 and .NET 6. Next, you’ll learn how to use tracing and diagnostics to track down performance issues and the cause of memory leaks. The chapters that follow then show you how to enhance the performance of your networked applications and various ways to improve directory tasks, file tasks, and more. Later, you’ll go on to improve data querying performance and write responsive user interfaces. You’ll also discover how you can use cloud providers such as Microsoft Azure to build scalable distributed solutions. Finally, you’ll explore various ways to process code synchronously, asynchronously, and in parallel to reduce the time it takes to process a series of tasks. By the end of this C# programming book, you’ll have the confidence you need to build highly resilient, high-performance applications that meet your customer's demands.
Table of Contents (22 chapters)
1
Part 1: High-Performance Code Foundation
7
Part 2: Writing High-Performance Code
16
Part 3: Threading and Concurrency

Using Parallel LINQ (PLINQ)

In this section, you will learn how to convert your sequential LINQ queries into parallel LINQ using PLINQ. Take a look at the following code:

var productNames = GetProductNames();
var names = from name in productNames
           where name.Length > 8
           select name;

The preceding code calls the GetProductNames method and stores the results in the productNames variable. A LINQ statement is then performed on the productNames list to extract a list of all product names greater than eight characters in length. The result of this LINQ statement is then stored in the names variable.

The following code is identical to the preceding code, except we have modified it so that it operates in parallel across multiple processors:

var productNames = GetProductNames();
var names = from name in productNames.AsParallel()
   ...