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

Chapter 15: Parallel Programming

In this chapter, you will learn how to take advantage of the multiple CPU cores that are available in today’s modern computers. You will learn how to process your code by distributing the work between processes concurrently, as well as how to use the Task Parallel Library (TPL) and Parallel LINQ (PLINQ) to run code in parallel. Throughout this book, you will learn how to use parallel data structures and use the Visual Studio debugger to diagnose tasks and parallel stacks. You will also learn about the Concurrency Visualizer.

In this chapter, we will cover the following topics:

  • Using the Task Parallel Library (TPL): In this section, we will compare parallel and non-parallel code and its effect on CPU core utilization using perfmon.
  • Using Parallel LINQ (PLINQ): In this section, we will look at PLINQ and how it can be used to execute LINQ statements with varying degrees of parallelism.
  • Programming parallel data structures: In...