在上例中，关键数据是用户配置文件，可以跨一组机器分布(分区)以进行并行处理。

In the initial example above, the key data was user profiles, which could be distributed (partitioned) across a set of machines for parallel processing.

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并行计算要涉及到组合大量数据并将那些数据分布到每个计算结点，以进行更快的处理。

Parallel computing involves combining large amounts of data and spreading that data across each of the compute nodes for faster processing.

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您可以将其视为分布式大规模集群计算和某种形式的网络分布式并行处理。

You can think of it as distributed and large-scale cluster computing and as a form of network-distributed parallel processing.

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And the answer is, unlike many, unlike commercially generated computers, the brain works through parallel processing, massively parallel distributed processing.

问题的答案是这样的,与出于商业目的而制造的计算机不同,大脑采用并行加工的方式处理信息,采用广泛分布的并行加工

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