Facing the massive volume and high dimensional data, how to build effective and scalable algorithm for data mining is one of research directions of data mining.
面对大规模、高维的数据，如何建立有效的，可扩展的分类数据挖掘算法是数据挖掘研究的重要方向之一。
The parallel algorithm was implemented on MPI on NOW. The theoretical analysis and the experimental results prove that the parallel algorithm is an efficient and scalable algorithm.
该并行算法已经在NOW上的MPI平台上实现，理论分析和数值实验表明它具有较高的扩展性和并行效率。
Finally, the mapping of the placement group to object storage devices is a pseudo-random mapping using an algorithm called Controlled Replication Under Scalable Hashing (CRUSH).
最后，放置组到对象存储设备的映射是一个伪随机映射，使用一个叫做Controlled Replication Under Scalable Hashing (CRUSH)的算法。
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