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Learning .NET High-performance Programming

By : Antonio Esposito
Book Image

Learning .NET High-performance Programming

By: Antonio Esposito

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Learning .NET High-performance Programming
Antonio Esposito
Jun, 2015 | 304 pages
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Table of Contents (16 chapters)
Learning .NET High-performance Programming
Learning .NET High-performance Programming
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Performance Thoughts
Performance Thoughts
Understanding performance
Performance as a requirement
Performance engineering
Performance aspects
Class of applications
Technical overview
Summary
2
Architecting High-performance .NET Code
Architecting High-performance .NET Code
Software architecture
Performance concerns about architecture
Object-oriented design principles
Common designs and architectures
Architecture comparison
Common platform architectures
Performance considerations
Summary
3
CLR Internals
CLR Internals
Introduction to CLR
Memory management
Garbage collection
Working with AppDomains
Threading
Multithreading synchronization
Exception handling
Summary
4
Asynchronous Programming
Asynchronous Programming
Understanding asynchronous programming
Asynchronous programming theory
Asynchronous Programming Model (APM)
Event-based Asynchronous Pattern (EAP)
Task-based Asynchronous Pattern (TAP)
Task UI synchronization
Async/await
Summary
5
Programming for Parallelism
Programming for Parallelism
Parallel programming
Task parallelism with TPL
Data parallelism with TPL
Integrated querying with LINQ
Data parallelism with PLINQ
Summary
6
Programming for Math and Engineering
Programming for Math and Engineering
Introduction
Evaluating the performance of data types
Real-time applications
Case study: Fourier transform
Sliding processing
Summary
7
Database Querying
Database Querying
Introduction
Overview of ADO.NET
An overview of Entity Framework
Entity Framework querying optimization
Entity Framework persistence optimization
Performance comparison
ADO.NET bulk copy
Summary
8
Programming for Big Data
Programming for Big Data
What is big data?
Architecting big data solutions
Microsoft Azure for big data
Simplified grid computing
Lookup programming
Summary
9
Analyzing Code Performance
Analyzing Code Performance
Software profiling
Profiling with Visual Studio
Testing with Visual Studio 2013
Static program analysis
Summary
Index
Index

Chapter 5. Programming for Parallelism

Within the .NET world, parallel programming is the art of executing the same job on a collection of data or functions by splitting the desired elaboration over all available computational resources.

This chapter will focus on .NET Task Parallel Library's (TPL) implementation of parallel computing, together with the Parallel Language Integrated Query (PLINQ) language.

This chapter will cover the following topics:

  • Parallel programming

  • Task parallelism with TPL

  • Data parallelism with TPL

  • Integrated querying with LINQ

  • Data parallelism with PLINQ

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