Intuitive Parallel Programming.
即将爆发的并行编程。
Parallel programming and Amdahl's law.
并行编程和Amdahl法则。
Another obstacle to parallel programming is cultural.
另一个并行编程的障碍就是文化了。
Parallel programming using MPI to multiply a matrix by a vector.
使用MPI进行并行编程来实现矩阵与向量的乘法。
Want to do parallel programming, I hope we give suggestions!
想做并行程序，希望大家给点建议！
Parallel programming in C is no easy task, so I have devised a workaround.
用c语言进行并行编程不是件容易的事，因此我设计了一个替代方案。
In parallel programming, this fact is commonly referred to as Amdahl's Law.
在并行编程中，这个事实通常就称为Amdahl法则。
But when parallel programming is viewed in the same way, it is sabotage.
但是，当并行编程是相同的方式来看，它是破坏。
Support for Dryad (large scale, data-intensive parallel programming) (soon).
支持Dryad(大伸缩量，数据密集型的并行计算)(即将提供)。
But functional languages turn out to be very well suited to parallel programming.
不过事实证明函数型语言非常适合于并行编程。
We look at parallel programming using MPI and the basics of setting up a Linux cluster.
我们将介绍如何使用MPI进行并行编程，以及构建Linux集群的基础知识。
On Shared memory systems, High Performance FORTRAN is a language suited for parallel programming.
在共享内存系统中，HighPerformance FORTRAN是一种非常适合并行编程的语言。
Dr Patterson likens parallel programming to having ten reporters each write a paragraph of a news story.
帕特森将并行编程比作是十个记者同时写一篇新闻报道中的一段。
For more information refer to Microsoft's Parallel Programming blog and our earlier coverage of CDS.
更多的信息可参阅微软并行编程博客以及我们之前对CDS的关注。
Parallel programming has its own set of parallel algorithms that take advantage of the underlying hardware.
并行编程有自己的一些并行算法，它们可以充分利用底层硬件的性能。
Asynchronous programming and threading is very important feature for concurrent or parallel programming.
在并发、并行编程中，异步编程和线程是非常重要的功能。
Now that we have seen some basic examples of parallel programming, we can look at the MapReduce programming model.
上面，我们给出了一些并行式编程的列子，现在我们看看MapReduce的编程模型。
The paper introduces the basic concept, parallel implementation and functional clement of parallel programming languages.
本文介绍并行的程序设计语言的基本概念、并行执行以及功能要素。
In view of improving the parallel programming environment, the new framework of networks parallel computing is put forward.
从改善用户并行程序设计环境出发，给出了在网络并行计算的一种新平台。
IPython is a "comprehensive environment for interactive and exploratory computing" with a heavy emphasis on parallel programming.
IPython是“用于交互及探索计算最全面的环境”，它非常强调并行编程。
This article describes the structure of multi-core processors, parallel programming methods and tools for performance tuning.
文章介绍了多核处理器的架构、并行程序设计方法以及性能调优工具。
The Common Language Runtime has always had basic support for parallel programming in the form of locks, threads, and thread pools.
通用语言运行时（Common LanguageRuntime，CLR）以锁、线程和线程池的形式为并行编程提供基本的支持。
Parallel programming was designed on the basis of serial programming by using peer-to-peer mode and standard communication mode.
采用对等模式和标准通信模式，在原有的串行程序基础上进行了并行程序的设计。
This paper deals with the application of the parallel programming to the microcomputer monitoring system for small ammonia plants.
本文讨论了这种技术在合成氨生产微机监测系统中的实施。
Parallel programming has its own special place in computing; Part 2 of this series examines parallel programming platforms and examples.
并行编程在计算中有自己特殊的地位：本系列文章的第 2部分将介绍并行编程平台，并给出几个例子。
The chapter was the last one in the book and admits that it just presents the rudiments of parallel programming, but it's at least a start. 8
该章节位于书的最后一个部分，并且承诺只是并行程序设计的入门，但这至少是个开始。
Parallel programming (like all programming) is as much art as science, always leaving room for major design improvements and performance enhancements.
并行编程(与所有的编程技术一样)与其他科学一样，都是一门艺术，总会留下一定的空间来进行设计的改进和性能的提高。
Now that you know the fundamentals of parallel programming platforms and have a cluster ready, let's write a program that makes good use of the cluster.
现在我们已经了解了并行编程平台的基础知识，并且准备好了一个集群，接下来就要编写一个可以很好地利用这个集群的程序。
In all, it is not hard to see why there has been so little progress in parallel programming, even though multicore chips have been widespread for five years.
总之，这就是为什么不难理解在多核芯片广泛使用的五年间，并行编程上却很少有进展的原因。
In all, it is not hard to see why there has been so little progress in parallel programming, even though multicore chips have been widespread for five years.
总之，这就是为什么不难理解在多核芯片广泛使用的五年间，并行编程上却很少有进展的原因。
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