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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
5
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
6
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

Entity Framework querying optimization

First, when trying to understand EF performance, we need to know what stages EF operates on in order to actually query the database server with our object query. We always must keep in mind that EF is an object model mapped to a physical model that is produced from database's metadata. When we make a query, it is made across the entity objects that are mapped to the known physical layer within the EF itself. This mapping later produces the right SQL, which is sent to the database server. This means that if a change is made against the database metadata, the known metadata in EF may become invalid and produce runtime errors.

Talking about performance, we must dive deep into SQL materialization. This knowledge of the stage list made by EF becomes critical.

Querying execution lifecycle

The first step when we make a query from scratch with EF involves metadata loading. This step reflects all entity class metadata and related mapping to the physical layer....

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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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