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  • Book Overview & Buying Learning .NET High-Performance Programming
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Learning .NET High-Performance Programming

Learning .NET High-Performance Programming

By : Antonio Esposito
3 (3)
Buy this Book
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Learning .NET High-Performance Programming

Learning .NET High-Performance Programming

3 (3)
By: Antonio Esposito
Buy this Book

Overview of this book

If you are a .NET developer with an understanding of application development, but want to learn how to optimize the performance of your applications, this is the book for you. Basic knowledge of C# is expected.
Table of Contents (11 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Performance Thoughts
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1. Performance Thoughts
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Understanding performance
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Performance as a requirement
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Performance engineering
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Performance aspects
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Class of applications
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Technical overview
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Summary
2
2. Architecting High-performance .NET Code
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2. Architecting High-performance .NET Code
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Software architecture
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Performance concerns about architecture
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Object-oriented design principles
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Common designs and architectures
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Architecture comparison
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Common platform architectures
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Performance considerations
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Summary
3
3. CLR Internals
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3. CLR Internals
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Introduction to CLR
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Memory management
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Garbage collection
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Working with AppDomains
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Threading
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Multithreading synchronization
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Exception handling
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Summary
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4. Asynchronous Programming
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4. Asynchronous Programming
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Understanding asynchronous programming
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Asynchronous programming theory
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Asynchronous Programming Model (APM)
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Event-based Asynchronous Pattern (EAP)
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Task-based Asynchronous Pattern (TAP)
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Task UI synchronization
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Async/await
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Summary
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5. Programming for Parallelism
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5. Programming for Parallelism
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Parallel programming
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Task parallelism with TPL
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Data parallelism with TPL
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Integrated querying with LINQ
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Data parallelism with PLINQ
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Summary
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6. Programming for Math and Engineering
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6. Programming for Math and Engineering
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Introduction
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Evaluating the performance of data types
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Real-time applications
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Case study: Fourier transform
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Sliding processing
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Summary
7
7. Database Querying
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7. Database Querying
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Introduction
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Overview of ADO.NET
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An overview of Entity Framework
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Entity Framework querying optimization
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Entity Framework persistence optimization
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Performance comparison
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ADO.NET bulk copy
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Summary
8
8. Programming for Big Data
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8. Programming for Big Data
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What is big data?
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Architecting big data solutions
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Microsoft Azure for big data
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Simplified grid computing
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Lookup programming
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Summary
9
9. Analyzing Code Performance
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9. Analyzing Code Performance
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Software profiling
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Profiling with Visual Studio
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Testing with Visual Studio 2013
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Static program analysis
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Summary
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Index
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Index

Memory management

When talking about memory management, any code programmer will remember how native languages opened their doors to any kind of issues and bottlenecks. This can also mean that the expert C++ programmer could have access to some customization to produce better memory management than CLR does. However, this relates only to very few people in very few cases.

Theoretically speaking, when a programmer needs to use some memory to store any value in an operation, they need to:

  • Define a variable of the chosen type

  • Allocate enough free memory to contain the variable:

    • Reserve some bytes in the operating system's memory stack to contain the variable

  • Use the variable:

    • Instantiate the variable with the needed value

    • Do whatever is needed with such variable, for example - Define variable, allocate memory, use your variable, deallocate memory

  • De-allocate the freed memory:

    • Once the variable becomes useless, free the related memory for further usage by this or other applications

Other than the usual...

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Tech Concepts
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Programming languages
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Learning .NET High-Performance Programming
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