Pro .NET Memory Management - Info and Reading Options

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Understand .NET memory management internal workings, pitfalls, and techniques in order to effectively avoid a wide range of performance and scalability problems in your software. Despite automatic memory management in .NET, there are many advantages to be found in understanding how .NET memory works and how you can best write software that interacts with it efficiently and effectively. Pro .NET Memory Management is your comprehensive guide to writing better software by understanding and working with memory management in .NET. Thoroughly vetted by the .NET Team at Microsoft, this book contains 25 valuable troubleshooting scenarios designed to help diagnose challenging memory problems. Readers will also benefit from a multitude of .NET memory management “rules” to live by that introduce methods for writing memory-aware code and the means for avoiding common, destructive pitfalls. What You'll Learn Understand the theoretical underpinnings of automatic memory management Take a deep dive into every aspect of .NET memory management, including detailed coverage of garbage collection (GC) implementation, that would otherwise take years of experience to acquire Get practical advice on how this knowledge can be applied in real-world software development Use practical knowledge of tools related to .NET memory management to diagnose various memory-related issues Explore various aspects of advanced memory management, including use of Span and Memory types Who This Book Is For .NET developers, solution architects, and performance engineers

Open Data:

Intro -- Table of Contents -- About the Author -- About the Technical Reviewers -- Acknowledgments -- Foreword -- Introduction -- Chapter 1: Basic Concepts -- Memory-Related Terms -- The Static Allocation -- The Register Machine -- The Stack -- The Stack Machine -- The Pointer -- The Heap -- Manual Memory Management -- Automatic Memory Management -- Allocator, Mutator, and Collector -- The Mutator -- The Allocator -- The Collector -- Reference Counting -- Tracking Collector -- Mark Phase -- Conservative Garbage Collector -- Precise Garbage Collector -- Collect Phase -- Sweep -- Compact -- Small History -- Summary -- Rule 1 - Educate Yourself -- Chapter 2: Low-Level Memory Management -- Hardware -- Memory -- CPU -- CPU Cache -- Cache Hit and Miss -- Data Locality -- Cache Implementation -- Data Alignment -- Non-temporal Access -- Prefetching -- Hierarchical Cache -- Multicore Hierarchical Cache -- Operating System -- Virtual Memory -- Large Pages -- Virtual Memory Fragmentation -- General Memory Layout -- Windows Memory Management -- Windows Memory Layout -- Linux Memory Management -- Linux Memory Layout -- Operating System Influence -- NUMA and CPU Groups -- Summary -- Rule 2 - Random Access Should Be Avoided, Sequential Access Should Be Encouraged -- Rule 3 - Improve Spatial and Temporal Data Locality -- Rule 4 - Consume More Advanced Possibilities -- Chapter 3: Memory Measurements -- Measure Early -- Overhead and Invasiveness -- Sampling vs. Tracing -- Call Tree -- Objects Graphs -- Statistics -- Latency vs. Throughput -- Memory Dumps, Tracing, Live Debugging -- Windows Environment -- Overview -- VMMap -- Performance Counters -- Event Tracing for Windows -- Windows Performance Toolkit -- Windows Performance Recorder -- Windows Performance Analyzer -- Opening File and Configur ation -- Generic Events -- Region of Interests -- Flame Charts

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