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 the Task Parallel Library (TPL)

In this chapter, we will be working with TPL to enhance the performance of our programs by making use of the available processor power on a machine.

We learned how to write threads and execute them in Chapter 14, Multi-Threaded Programming. When multiple threads are running on a single processor, providing the illusion that they are running in parallel, they are running concurrently.

When threads run concurrently, the processor uses a scheduling algorithm and/or interrupts to determine the switching and prioritization between threads. Parallel programming, however, runs different threads on different processors so that threads execute in parallel to each other with a reduced need for switching and thread interrupts.

As its name suggests, TPL is used to run tasks in parallel. Tasks are run in parallel by running each task against a separate core of the computer’s processor. So, for example, say your computer has four cores and you...