Expert guidance for those programming today’s dual-coreprocessors PCs
As PC processors explode from one or two to now eightprocessors, there is an urgent need for programmers to masterconcurrent programming. This book dives deep into the latesttechnologies available to programmers for creating professionalparallel applications using C#, .NET 4, and Visual Studio 2010. Thebook covers task-based programming, coordination data structures,PLINQ, thread pools, asynchronous programming model, and more. Italso teaches other parallel programming techniques, such as SIMDand vectorization.
Master the tools and technology you need to develop thread-safeconcurrent applications for multi-core systems, withProfessional Parallel Programming with C#.
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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.
Gain a solid understanding of parallel programming with C# 4,Visual Studio 2010 and the .NET 4 Framework
Are you maximizing the processing power in your multi-corecomputer systems? With this resource, you discover how to doexactly that, while gaining insight into concurrent programmingwith tasks to create professional parallel applications using C# 4,.Net 4, and Visual Studio 2010. You learn other parallelprogramming techniques, including modern single instruction,multiple data instructions and vectorization. Plus, you explore thepossibilities offered by modern parallel libraries and advancedIntel tools with C#. Use the new lightweight coordinationstructures to tackle the most complex concurrent programmingproblems and develop your own customized solutions.
Professional Parallel Programming with C#:
Focuses on creating scalable and reliable parallelized designstargeting the new Task Parallel Library and .NET 4
Walks you through imperative data parallelism, imperative taskparallelism, concurrent collections, and coordination datastructures
Describes advanced declarative data parallelism with PLINQ
Describes how to debug anonymous methods, tasks, and threads byusing the new Visual Studio® 2010 parallel debuggingfeatures
Demonstrates how to partition data sources to load-balance theworkload among diverse tasks and threads
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