Over the past three years, parallel clustering has begun to change the face of supercomputing.
在过去的三年里，并行集群已在改变着超级计算的面貌。
Predictably, enthusiasm in open-source circles has spawned hundreds -- if not thousands -- of parallel clustering projects.
可以想像得到，开放源码圈内的高涨热情已导致产生了数百 --如果不是数千的话 --并行集群项目。
The term components refers to the logical modules that make up the parallel clustering system known as Pseudo Remote Threads. The system consists of the following components
组件一词是指组成“伪远程线程”并行集群系统的逻辑模块。
This parallel clustering system is called Pseudo remote threads because the threads are scheduled on the job dispatcher but the code within the threads is executed on a remote machine.
这种并行集群系统之所以被称为伪远程线程，是因为线程是在作业调度器上调度的，但线程内的代码却是在远程计算机上执行的。
Rooted in the requirement of data partitioning in parallel learning, we proposed our cluster method by improving a current clustering equally method.
起源于并行学习算法对数据划分的要求，在对一种现行等分割聚类算法进行改进的基础上，本文提出自己的等分聚类算法。
Rooted in the requirement of data partitioning in parallel learning, we proposed our cluster method by improving a current clustering equally method.
起源于并行学习算法对数据划分的要求，在对一种现行等分割聚类算法进行改进的基础上，本文提出自己的等分聚类算法。
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