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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

Preventing memory leaks

In this section, we will understand the issues around COM objects and what can lead to memory leaks using COM objects. We will look at interoping with the Excel COM library for our example code. We will see how instances of Excel are kept alive after our code exits. By using Windows Task Manager, we will be able to see instances of Excel being generated. Our Excel code will be developed in such a way as to avoid memory leaks and ensure that every Excel instance is closed when our code has completed running so that no instances of Excel remain in memory.

We will then move on to look at how using events can be a common source of memory leaks at runtime and how we can avoid them. Using JetBrains dotMemory, we will profile a runtime build executable of our program code. As the code is running, we will generate snapshots. As the profiler runs, you will see the memory usage gradually climbing. Clicking on the snapshots will display detailed memory information for...

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High-Performance Programming in C# and .NET
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