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Professional Parallel Programming with C#: Master Parallel Extensions with .NET 4

ISBN: 978-1-118-02977-0
576 pages
December 2010
Professional Parallel Programming with C#: Master Parallel Extensions with .NET 4 (1118029771) cover image
Expert guidance for those programming today’s dual-core processors PCs

As PC processors explode from one or two to now eight processors, there is an urgent need for programmers to master concurrent programming. This book dives deep into the latest technologies available to programmers for creating professional parallel applications using C#, .NET 4, and Visual Studio 2010. The book covers task-based programming, coordination data structures, PLINQ, thread pools, asynchronous programming model, and more. It also teaches other parallel programming techniques, such as SIMD and vectorization.

  • Teaches programmers professional-level, task-based, parallel programming with C#, .NET 4, and Visual Studio 2010
  • Covers concurrent collections, coordinated data structures, PLINQ, thread pools, asynchronous programming model, Visual Studio 2010 debugging, and parallel testing and tuning
  • Explores vectorization, SIMD instructions, and additional parallel libraries

Master the tools and technology you need to develop thread-safe concurrent applications for multi-core systems, with Professional Parallel Programming with C#.

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INTRODUCTION.

CHAPTER 1: TASK-BASED PROGRAMMING.

CHAPTER 2: IMPERATIVE DATA PARALLELISM.

CHAPTER 3: IMPERATIVE TASK PARALLELISM.

CHAPTER 4: CONCURRENT COLLECTIONS.

CHAPTER 5: COORDINATION DATA STRUCTURES.

CHAPTER 6: PLINQ: DECLARATIVE DATA PARALLELISM.

CHAPTER 7: VISUAL STUDIO 2010 TASK DEBUGGING CAPABILITIES.

CHAPTER 8: THREAD POOLS.

CHAPTER 9: ASYNCHRONOUS PROGRAMMING MODEL.

CHAPTER 10: PARALLEL TESTING AND TUNING.

CHAPTER 11: VECTORIZATION, SIMD INSTRUCTIONS, AND ADDITIONAL PARALLEL LIBRARIES.

CHAPTER A: .NET 4 PARALLELISM CLASS DIAGRAMS.

CHAPTER B: CONCURRENT UML MODELS.

CHAPTER C: PARALLEL EXTENSIONS EXTRAS.

INDEX.

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Gastón C. Hillar is an independent software consultant who has been researching parallel programming, multiprocessor, and multicore since 1997. He has years of experience designing and developing diverse types of complex parallelized solutions that take advantage of multiple processing cores with C# and .NET Framework.

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