相反地，Hadoop可以被视为一种可以同时将数据和算法分配到主机以获得更快速的并行处理速度的方法。

Instead, Hadoop can be viewed as a way to distribute both data and algorithms to hosts for faster parallel processing.

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在此平台的基础上通过对信号处理算法的并行设计，以及对处理任务的合理分配，实现了高速实时雷达信号处理。

Then, basing on this platform, a high speed real-time digital signal processing of radar is carried out, making good use of the parallel design of algorithm and a reasonable assignment of tasks.

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针对这种情况，本文提出一种对数据库查询树的分配算法，使查询并行化，缩短查询的响应时间。

This paper presents an algorithm to dispatch the operations of the query tree, parallelize queries, and shorten the query time.

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