Melkumyan A. High Performance .NET. Recipes and Thoughts...2024 torrent

Textbook in PDF format

In today’s world, where software is expected to run faster, scale efficiently, and handle more complexity
This book is designed to help you harness the full power of .NET and C#, delving into the features and optimizations introduced in the latest versions of the platform. Whether you’re building high-traffic web applications, computationally intensive tasks, or real-time systems, this guide is your toolkit for achieving peak performance.
.NET has grown into a powerhouse platform with a broad range of capabilities—from low-level memory management to cutting-edge parallel programming techniques and GPU acceleration. In this book, we’ll explore both the science and the art of performance tuning in .NET. Through practical examples, hands-on recipes, and detailed technical breakdowns, you'll learn how to squeeze every ounce of speed and efficiency out of your code.
The idea behind this book came from a simple observation: while .NET provides an impressive array of tools and optimizations, the potential for writing high-performance applications is often underutilized. As an Architect, I’ve spent years optimizing and scaling systems, and one thing became clear—achieving top-tier performance requires a deep understanding of how things work under the hood.
This book is my way of distilling that knowledge, gathered through real-world experience and countless hours of trial, error, and tuning. It's not just about making your code run faster—it's about understanding why your code performs the way it does, and what you can do to improve it. We’ll explore the inner workings of .NET, from the intricacies of memory management and threading, to GPU-based computing and LINQ optimizations, all through a practical and results-driven lens.
Preface
Who Is This Book For?
Introduction to High Performance in .NET
NET Internals and CLR Optimizations
Data Structures and Collections in C#
LINQ Performance Considerations
Asynchronous Programming and Tasks
Multithreading and Parallel Programming
Concurrency and Asynchronous Patterns
Performance Optimization Techniques
Harnessing GPU Power for High-Performance .NET Applications