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 2, Implementing C# Interoperability

  1. Platform invocation.
  2. Explain what P/Invoke is.
  3. It reminds the programmer that they are responsible for the safety of their code, since it is not managed by the .NET Framework.
  4. There are three generations of objects: zero, one, and two. Normally, objects are added to generation zero and garbage is collected. But if they survive generation zero, they are promoted to generation one. Objects that survive generation one are promoted to generation two. If generations zero, one, and two are completely full and new objects are added, then you end up with OutOfMemoryException, and your application will crash.
  5. The fixed keyword is used to ensure that objects referenced by pointers are not promoted by the garbage collector. Otherwise, the pointers would point to the wrong thing, causing bugs in the software.
  6. BSTR.
  7. IronPython, although other packages also exist.
  8. Implement the disposable design pattern.
  9. Set large fields...