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High-Performance Programming in C# and .NET

High-Performance Programming in C# and .NET

By : Jason Alls
3.6 (8)
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High-Performance Programming in C# and .NET

High-Performance Programming in C# and .NET

3.6 (8)
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)
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1
Part 1: High-Performance Code Foundation
7
Part 2: Writing High-Performance Code
16
Part 3: Threading and Concurrency

Learning the difference between concurrency and parallelism

Concurrency and parallelism are often mistaken for the same thing, but they are different. Concurrency does many tasks at the same time using multi-threading. Multi-threading allots time to various threads based on time/context switching. This presents the illusion that the computer is doing multiple things at the same time. But it is, in reality, only doing one thing. Parallelism, on the other hand, does many things all at the same time.

Concurrency is used to manage multiple computations simultaneously. It accomplishes this using interleaving operations. The benefit of concurrency is that it increases the amount of work that can be completed over time. It uses context switching to perform interleaving operations. Concurrency can work with a single processor. You are already aware of concurrency at work, as you will have had multiple applications running at the same time. All these programs are making use of concurrency...

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High-Performance Programming in C# and .NET
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