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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
10
Index
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Index

Sliding processing

As already seen in Chapter 3, CLR Internals, CLR has some limitations in memory management.

Working with engineering data means having to deal with a huge dataset of more than a million records.

Although we can load a simple integer array with millions of items in memory, the same thing will be impossible when the number rises by a lot, or the data type becomes heavier than a simple integer value.

The .NET has a complete enumerator-like execution model that can help us handle a billion items without ever having to deal with all such items in memory, all together. Here is an example on sliding processing:

static void Main(string[] args)
{
    //dataset
    //this dataset will not be streamed until needed
    var enumerableDataset = RetrieveHugeDataset();

    //start using the enumerable
    //this will actually start executing code within RetrieveHugeDataset method
    foreach (var item in enumerableDataset)
        if (item % 12 == 0)
            Console.WriteLine("->...
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Learning .NET High-Performance Programming
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