Parallel Programming with Microsoft.NET

英文版。 编程原本(STL之父Alexander Stepanov力作,追溯数学原理,探求编程的本质). 《编程原本》提供了有关编程的一种与众不同的理解。其主旨是，实际的编程也应像其他科学和工程领域一样基于坚实的数学基础。《编程原本》展示了在实际编程语言（如c++）中实现的算法如何在最一般的数学背景中操作。例如，如何定义快速求幂算法，使之能使用任何可交换运算。使用抽象算法将能得到更高效、可靠、安全和经济的软件。 　　这不是一本很容易读的书，它也不是能提升你的编程技能的秘诀和技巧汇编。《编程原本》的价值是更根本性的，其终极目标是提升你对编程的洞察力。要想从中大获裨益，你需要从头到尾认真学习：阅读代码，证明引理，完成练习。到结束之时，你将看到如何把这里讨论的演绎方法应用到你的程序中，保证你做出的软件部件能一起工作，并表现出它们所应该表现的行为。 　　书中给出的算法和需求针对某些被操作的类型。有关这些描述的代码（也可以通过web得到）采用c++的一个小子集书写，这样做是为了让所有有经验的程序员都能理解。这个小子集可以看做一种特殊语言，是由sean parent和bjarne stroustrup一起设计的。

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Wrox Press 2010出版，并行编程+c#，提供给感兴趣的朋友 In 2007, Microsoft released the fi rst Community Technology Preview (CTP) of Parallel Extensions for the .NET Framework. The old .NET Framework multithreading programming model was too complex and heavyweight for the forthcoming multicore and manycore CPUs. I had been researching parallel programming, multiprocessor, and multicore since 1997, so I couldn’t help installing the fi rst CTP and trying it. It was obvious that it was going to be an exciting new way of expressing parallelism in future C# versions. Visual Studio 2010 ships with version 4 of the .NET Framework, the fi rst release to include Parallel Extensions. C# 4 and .NET Framework 4 allow you to shift to a modern task-based programming model to express parallelism. It is easier to write code that takes advantage of multicore microprocessors. Now, you can write code that scales as the number of available cores increases, without having to work with complex managed threads. You are able to write code that runs tasks, and the Common Language Runtime (CLR) will inject the necessary threads for you. It is easy to run data parallelism algorithms taking advantage of multicore. At the time of this writing, multicore microprocessors are everywhere. Servers, desktop computers, laptops and notebooks, netbooks, mobile Internet devices (MIDs), tablets, and even smartphones use multicore microprocessors. The average number of cores in each microprocessor is going to increase in the forthcoming years. Are you going to lose the opportunity to transform this multicore power into application performance? Parallel programming must become part of your skill set to effectively develop applications for modern hardware in C#. I spent more than three years working with the diverse versions of Parallel Extensions until Visual Studio 2010 was offi cially released. I enjoyed developing parallelized applications with C#, and I did my best to include explanations for the most common scenarios in this book. Visual Studio 2010 provides an IDE prepared for a parallel developer, and C# is an excellent fi t for the new task-based programming model. amazon Link：http://www.amazon.com/exec/obidos/ASIN/0470495995/buythisbooks-20