Deploying ASP.NET web sites, high performance computing clusters, media transcoding solutions, and many other Windows-based applications.
部署ASP.NETWeb站点，高性能计算集群，媒体转码方案和许多其他基于Windows的应用。
We can throw the numbers into the biggest computing clusters the world has ever seen and let statistical algorithms find patterns where science cannot.
我们能把数字扔到前所未见的最大计算机集群里，让统计数据找到那些科学所不能告诉我们的模式。
They are processing data at a massive scale in computing clusters and have an architecture to support high availability, low latency applications as well as database integration with Hadoop.
他们的计算集群正在处理超大规模的数据并有着支持高可用性的架构，低延迟的应用，和与Hadoop相集成的数据库。
Part 1 of this series, clustering fundamentals, discusses the types of clusters, USES of clusters, HPC fundamentals, and reasons for the growth of clustering technology in High Performance Computing.
本系列的第1篇集群基础讨论了集群的类型、用途、HPC基础以及集群技术在HPC领域变得更加流行的原因。
This two-part article introduces the concepts of High Performance Computing (HPC) with Linux cluster technology and shows you how to set up clusters and write parallel programs.
这两篇系列文章简要介绍采用Linux集群技术的高性能计算(HPC)的概念，展示如何构建集群并编写并行程序。
Over the past several years, Google has built three key pieces of scalable computing infrastructure designed to run on clusters of commodity PCs.
在过去数年中，Google为在PC集群上运行的可伸缩计算基础设施设计建造了三个关键部分。
MapReduce is a software framework introduced by Google that supports distributed computing on large data sets on clusters of computers (or nodes).
MapReduce是Google引入的一个软件框架，它支持在计算机(即节点)集群上对大型数据集进行分布式计算。
How to increase the efficiency, usability and convenience of clusters is a task in high performance computing area.
如何提高集群系统的运行效率、可用性和易用性是集群计算领域的一个重要的课题。
The parallel computer system based on PC clusters is an important branch of parallel processing techniques, and it is an efficient way of High-Performance Computing.
机群并行计算机系统是并行处理技术的一个重要分支，是进行高性能计算的一个有效途径。
For implementing the data parallel computing (DPC) in grid that composed of multi-clusters, a grid development model based on multiagent is discussed.
在由多计算机机群构成的网格环境下，为了实现数据并行型计算，提出了一个基于多智能体机制的网格开发模型。
For implementing the data parallel computing (DPC) in grid that composed of multi-clusters, a grid development model based on multiagent is discussed.
在由多计算机机群构成的网格环境下，为了实现数据并行型计算，提出了一个基于多智能体机制的网格开发模型。
应用推荐