You're reading from Learning .NET High-Performance Programming Learn everything you need to know about performance-oriented programming for the .NET Framework

Product type Paperback

Published in Jun 2015

Publisher Packt

ISBN-13 9781785288463

Length 304 pages

Edition 1st Edition

Languages

Tools

Visual Studio

Concepts

High Performance Programming

Author (1):

Antonio Esposito

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Table of Contents (11) Chapters

Preface

1. Performance Thoughts FREE CHAPTER

2. Architecting High-performance .NET Code

3. CLR Internals

4. Asynchronous Programming

5. Programming for Parallelism

6. Programming for Math and Engineering

7. Database Querying

8. Programming for Big Data

9. Analyzing Code Performance

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

The rest of the chapter is locked

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Authors (1)

Antonio Esposito

Antonio Esposito is a Microsoft Certified Trainer, software architect, father, son, and lover of cooking and eating. He has been addicted to computer programming from age 8, a developer since 2002, and a speaker from 2010. He has moved across Europe in the last fifteen years working as freelance consultant or speaker for companies such as UniCredit Bank, Ferrari F1 Racing Team, Microsoft Italy, IBM, and many others. He actively attends as a speaker at a lot of conferences, such as MCT Summit and WPC Italy. He is already an author for Packt with Learning .NET High Performance Programming in 2014.

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