Learning .NET High-performance Programming电子书

Learning .NET High-performance Programming

Table of Contents

Learning .NET High-performance Programming

Credits

About the Author

About the Reviewers

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Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

1. Performance Thoughts

Understanding performance

Performance as a requirement

Performance engineering

Performance aspects

Latency

Throughput

Resource usage

Availability/reliability

Scalability

Efficiency

Class of applications

Case study: performance aspects of a desktop application

Case study: performance aspects of a mobile application

Case study: performance aspects of a server application

Performance concerns as time changes

Technical overview

Multithreaded programming

Parallel programming

Distributed computing

Grid computing

Summary

2. Architecting High-performance .NET Code

Software architecture

Performance concerns about architecture

Object-oriented design principles

The single responsibility principle

The open-closed principle

The Liskov substitution principle

The interface segregation principle

The dependency inversion principle

Common designs and architectures

Layered architecture

Performance concerns

Model-View-Controller and ASP.NET MVC

Performance concerns

Model-View-ViewModel and XAML

Performance concerns

The 3-tier architecture

Performance concerns

Service-Oriented Architecture (SOA)

Standardized service contract

Service loose coupling

Service abstraction

Service reusability

Service autonomy

Service statelessness

Service discoverability

Service composability

Performance concerns

Architecture comparison

Common platform architectures

Architecting desktop applications

Architecting mobile applications

Architecting web applications

Architecting cloud web applications

Performance considerations

Caching, when and where

PLINQ everywhere

Inversion of Control (IoC)

Lazy loading

Reusability of code

Agnostic versus idiom-powered implementation

Short coding

Remote computation

Cloud versus on-premise applications

Summary

3. CLR Internals

Introduction to CLR

Memory management

Garbage collection

Large object heap

Collection tuning

Working with AppDomains

IDisposable interface

Threading

Multithreading synchronization

Locks

Signaling locks

Drawbacks of locks

Exception handling

Summary

4. Asynchronous Programming

Understanding asynchronous programming

Asynchronous programming theory

Asynchronous Programming Model (APM)

Event-based Asynchronous Pattern (EAP)

Task-based Asynchronous Pattern (TAP)

Task creation

Task synchronization

Task exception handling

Task cancellation

Task continuation

Task factories

Task UI synchronization

Async/await

Summary

5. Programming for Parallelism

Parallel programming

Task parallelism

Data parallelism

Task parallelism with TPL

Data parallelism with TPL

ThreadPool tuning

Parallel execution abortion

Partitions

Sliding parallel programming

Integrated querying with LINQ

Data parallelism with PLINQ

Partitioning optimization

Summary

6. Programming for Math and Engineering

Introduction

Evaluating the performance of data types

BigInteger

Half-precision data type

Real-time applications

Case study: Fourier transform

Rolling average

Low-pass filtering for Audio

Sliding processing

Summary

7. Database Querying

Introduction

Overview of ADO.NET

An overview of Entity Framework

Advanced querying

Entity Framework querying optimization

Querying execution lifecycle

Querying approaches

Performance thoughts

Entity Framework persistence optimization

Performance comparison

Stream-like querying

ADO.NET bulk copy

Summary

8. Programming for Big Data

What is big data?

Architecting big data solutions

Case study – automotive big data system

Microsoft Azure for big data

Service Bus Topic

AppFabric Cache

Redis Cache

Simplified grid computing

Lookup programming

Summary

9. Analyzing Code Performance

Software profiling

Profiling with Visual Studio

Instrumentation profiling

The analysis report comparison

Testing with Visual Studio 2013

The Integration test

Performance-related tests

TDD

Test and Continuous Integration

Static program analysis

Code analysis

Code metrics

Summary

Index