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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

Summary

This chapter explored several dimensions of memory allocation and optimization concepts. The recurring theme has been that different constructs bring different benefits to our algorithms and applications. We began by discussing the basics of memory allocation in Java, C, and C++ since these are foundational languages and worthy rivals to C#. We saw where C and C++ place the responsibility in the developer’s hands to handle memory allocation and deallocation. In contrast, Java and .NET employ an automatic clean-up process and are guided by similar philosophies.

We also delved into various .NET data structures, such as arrays, lists, dictionaries, and more specialized collections such as Span<T>, Memory<T>, and concurrent collections. We explored how choosing the proper data structure for the task can significantly impact memory usage and application performance.

Memory allocation and data structures are fundamental to .NET programming, influencing applications...

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