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Effective .NET Memory Management

Effective .NET Memory Management

By : Trevoir Williams
4.8 (11)
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Effective .NET Memory Management

Effective .NET Memory Management

4.8 (11)
By: Trevoir Williams

Overview of this book

In today’s software development landscape, efficient memory management is crucial for ensuring application performance and scalability. Effective .NET Memory Management addresses this need by explaining the intricacies of memory utilization within .NET Core apps, from fundamental concepts to advanced optimization techniques. Starting with an overview of memory management basics, you’ll quickly go through .NET’s garbage collection system. You’ll grasp the mechanics of memory allocation and gain insights into the distinctions between stack and heap memory and the nuances of value types and reference types. Building on this foundation, this book will help you apply practical strategies to address real-world app demands, spanning profiling memory usage, spotting memory leaks, and diagnosing performance bottlenecks, through clear explanations and hands-on examples. This book goes beyond theory, detailing actionable techniques to optimize data structures, minimize memory fragmentation, and streamline memory access in scenarios involving multithreading and asynchronous programming for creating responsive and resource-efficient apps that can scale without sacrificing performance. By the end of this book, you’ll have gained the knowledge to write clean, efficient code that maximizes memory usage and boosts app performance.
Table of Contents (12 chapters)
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9
Chapter 9: Final Thoughts

Low-Level Programming

High-level programming languages such as C# have revolutionized software development by offering a rich set of functions and abstractions that simplify development tasks, enhancing productivity and code maintainability. However, as powerful as these abstractions are, there are scenarios where more deliberate control over the system is required. These scenarios require understanding low-level programming techniques and can make up the difference between high-performance and slower applications.

Low-level programming refers to coding practices that operate closer to the hardware, allowing the developer to have more direct control of memory and system resources. In contrast to high-level programming, which abstracts away most of the complexity involved in these operations, low-level programming requires a detailed understanding of the underlying architecture, as well as memory management and performance optimization techniques.

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