CUDA(Compute Unified Device Architecture)，是显卡厂商NVIDIA推出的运算平台。 CUDA™是一种由NVIDIA推出的通用并行计算架构，该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构（ISA）以及GPU内部的并行计算引擎。 开发人员现在可以使用C语言来为CUDA™架构编写程序，C语言是应用最广泛的一种高级编程语言。所编写出的程序于是就可以在支持CUDA™的处理器上以超高性能运行。CUDA3.0已经开始支持C++和FORTRAN。

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Apress, 2010 ，如何用.net来实现并行计算，本书将带你一探究竟 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. What you’ll learn * Develop scalable and robust parallel applications in C#. * Design, test and use parallel algorithms and data structures. * Understand and implement common parallel design patterns. * Avoid common anti-patterns and problems. * Use Visual Studio to verify and debug parallel applications. amazon link:http://www.amazon.com/exec/obidos/ASIN/1430229675/buythisbooks-20

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Introduction to Parallel Computing From Algorithms toProgramming