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

Deciding between using arrays or collections

In this section, we'll discuss the pros and cons of using arrays and collections. We will also perform various benchmarks that measure array and collection performance. Armed with benchmark information, you can then make informed decisions as to whether arrays or collections are best suited to your specific needs. We will start by looking at arrays.

The downsides to using arrays are as follows:

  • Arrays are fixed in size, meaning that once the size of the array has been changed, its size cannot be changed.
  • Since arrays are fixed in size, they are not recommended for efficient memory usage.
  • Arrays can only hold heterogeneous data types, and data types can be primitive and object types.
  • Data elements of the object type can hold different types of data elements.
  • Arrays lack many useful methods.

The benefits of using arrays are as follows:

  • Arrays have a small memory footprint and have undergone some...