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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
4
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
10
Index
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Index

Object-oriented design principles

C# is a general-purpose language that can work in a managed environment. It is the .NET Common Language Runtime (CLR) that handles the most tricky logic for us, such as the lifecycle of variables and their removal from memory, process isolation, thread abstraction, variably safe typing, and so on.

Although we will assume that we will use C# only in object-oriented programming (OOP), the language itself supports other paradigms as well.

Note

In terms of class design, the following tenets are at the basis of OOP:

  • Encapsulation: Any class can hide its core logic in external items.

  • Inheritance: Any class can expand the capability of a mother class, by adding more specific properties or adding/changing logics.

  • Polymorphism: Any object, if extended by inheritance, when compared to other objects of the same parent family, may produce different business results by applying the eventually changed logic as allowed by inheritance, creating what names a polymorphic behavior...

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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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