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 async, await, and WhenAll

In this section, we will write some example code that demonstrates the use of async, await, and WhenAll and the effect on execution time.

If you have multiple tasks that are being executed in a method and you await each task, your code will work asynchronously, and the execution time will be expensive. You can circumvent this time expense with improved performance by using WhenAll to await all completed tasks before continuing. In the code we will be writing, you will see how WhenAll reduces the time taken to execute two asynchronous methods within a function when compared to awaiting each task in turn.

Let's work our way through the following tasks:

  1. In the Benchmarks class still, add the following asynchronous method, which waits 300 milliseconds before returning an int:
    private async Task<int> TaskOne()
    {
         await Task.Delay(300);
         return 100;
    }

The TaskOne method is the...