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Computer Science | Pro .NET 4 Parallel Programming in C#

Pro .NET 4 Parallel Programming in C#

Freeman, Adam

2010, XV, 328 p.

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  • Written explicitly for .NET programmers, and covers the new features of .NET 4.0
  • Provides readers with step-by-step guidance and pre-written code samples to help them avoid common pitfalls and solve common parallel programming challenges
  • Authored by an expert with many years experience in parallel programming in a business environment

Parallel programming has been revolutionised in .NET 4, providing, for the first time, a standardised and simplified method for creating robust, scalable and reliable multi-threaded applications. The Parallel programming features of .NET 4 allow the programmer to create applications that harness the power of multi-core and multi-processor machines. Simpler to use and more powerful than “classic” .NET threads, parallel programming allows the developer to remain focused on the work an application needs to perform.

In Pro .NET 4 Parallel Programming in C#, Adam Freeman presents expert advice that guides you through the process of creating concurrent C# applications from the ground up. You'll be introduced to .NET's parallel programming features, both old and new, discover the key functionality that has been introduced in .NET 4, and learn how you can take advantage of the power of multi-core and multi-processor machines with ease.

Pro .NET 4 Parallel Programming in C# is a reliable companion that will remain with you as you explore the parallel programming universe, elegantly and comprehensively explaining all aspects of parallel programming, guiding you around potential pitfalls and providing clear-cut solutions to the common problems that you will encounter.

Content Level » Popular/general

Keywords » C# - Debugging - LINQ - Scala - algorithms - class - parallel programming

Related subjects » Computer Science

Table of contents 

  1. Introducing Parallel Programming 
  2. Task Programming 
  3. Sharing Data 
  4. Coordinating Tasks 
  5. Parallel Loops 
  6. Parallel LINQ 
  7. Testing and Debugging
  8. Common Parallel Algorithms

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