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The Resource Pro .NET Memory Management : For Better Code, Performance, and Scalability, Konrad Kokosa

Pro .NET Memory Management : For Better Code, Performance, and Scalability, Konrad Kokosa

Label
Pro .NET Memory Management : For Better Code, Performance, and Scalability
Title
Pro .NET Memory Management
Title remainder
For Better Code, Performance, and Scalability
Statement of responsibility
Konrad Kokosa
Creator
Author
Subject
Language
eng
Cataloging source
N$T
http://library.link/vocab/creatorName
Kokosa, Konrad
Dewey number
005.43
Index
index present
LC call number
QA76.9.M45
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/subjectName
  • Application software
  • Memory management (Computer science)
Label
Pro .NET Memory Management : For Better Code, Performance, and Scalability, Konrad Kokosa
Instantiates
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 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 ManagementHardware; 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 LocalityRule 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; Stack Tags; Custom Graphs; Profiles
  • PerfViewData Collection; Data Analysis; Memory Snapshots; ProcDump, DebugDiag; WinDbg; Disassemblers and Decompilers; BenchmarkDotNet; Commercial Tools; Visual Studio; Scitech .NET Memory Profiler; JetBrains DotMemory; RedGate ANTS Memory Profiler; Intel VTune Amplifier and AMD CodeAnalyst Performance Analyzer; Dynatrace and AppDynamics; Linux Environment; Overview; Perfcollect; Trace Compass; Opening File; CoreCLR.GC.collections; CoreCLR.threads.state; CoreCLR.GC.generations.ranges; The Final Results; Memory Dumps; Summary; Rule 5 -- Measure GC Early; Chapter 4: .NET Fundamentals
  • .NET Versions.NET Internals; Sample Program in Depth; Assemblies and Application Domains; Collectible Assemblies; Process Memory Regions; Scenario 4-1. How Big Is My Program in Memory?; Scenario 4-2. My Program's Memory Usage Keeps Growing; Scenario 4-3. My Program's Memory Usage Keeps Growing; Scenario 4-4. My Program's Memory Usage Keeps Growing; Type System; Type Categories; Type Storage; Value Types; Value Types Storage; Structs; Structs in General; Structs Storage; Reference Types; Classes; Strings; String Interning; Scenario 4-5. My Program's Memory Usage Is Too Big; Boxing and Unboxing
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9781484240274
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1065523014
  • (OCoLC)1065523014
Label
Pro .NET Memory Management : For Better Code, Performance, and Scalability, Konrad Kokosa
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 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 ManagementHardware; 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 LocalityRule 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; Stack Tags; Custom Graphs; Profiles
  • PerfViewData Collection; Data Analysis; Memory Snapshots; ProcDump, DebugDiag; WinDbg; Disassemblers and Decompilers; BenchmarkDotNet; Commercial Tools; Visual Studio; Scitech .NET Memory Profiler; JetBrains DotMemory; RedGate ANTS Memory Profiler; Intel VTune Amplifier and AMD CodeAnalyst Performance Analyzer; Dynatrace and AppDynamics; Linux Environment; Overview; Perfcollect; Trace Compass; Opening File; CoreCLR.GC.collections; CoreCLR.threads.state; CoreCLR.GC.generations.ranges; The Final Results; Memory Dumps; Summary; Rule 5 -- Measure GC Early; Chapter 4: .NET Fundamentals
  • .NET Versions.NET Internals; Sample Program in Depth; Assemblies and Application Domains; Collectible Assemblies; Process Memory Regions; Scenario 4-1. How Big Is My Program in Memory?; Scenario 4-2. My Program's Memory Usage Keeps Growing; Scenario 4-3. My Program's Memory Usage Keeps Growing; Scenario 4-4. My Program's Memory Usage Keeps Growing; Type System; Type Categories; Type Storage; Value Types; Value Types Storage; Structs; Structs in General; Structs Storage; Reference Types; Classes; Strings; String Interning; Scenario 4-5. My Program's Memory Usage Is Too Big; Boxing and Unboxing
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9781484240274
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1065523014
  • (OCoLC)1065523014

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