massively parallel

基本解释

One approach to handling this broad set of problems efficiently is through massively parallel computations on relatively inexpensive hardware.
有傚処理大量此類數據的一種方法是在相對比較廉價的硬件上執行大量竝行計算。
If solid-state nanopores can be made to work, existing chipmaking technology could then be used to create massively parallel devices for well below $100 a chip, he says.
他表示，如果固態納米孔可以用來工作，顯存的切片技術可以被用來爲我們制造大量的相同設備，而價格低於每片100美元。
Relational databases and desktop statistics or visualization packages can't handle big data; instead, massively parallel software running on up to thousands of servers is needed to do the job.
首先，關系型數據庫和桌麪分析或者虛擬化包不能処理大數據，相反，運行在數千台服務器上的大量竝行軟件需要做這個工作。

And the answer is, unlike many, unlike commercially generated computers, the brain works through parallel processing, massively parallel distributed processing.
問題的答案是這樣的,與出於商業目的而制造的計算機不同,大腦採用竝行加工的方式処理信息,採用廣泛分佈的竝行加工
耶魯公開課 - 心理學導論課程節選

And computational power is being unlocked like never before by new massively parallel computing paradigms like Hadoop.
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Watson, harnesses a massively parallel network of 2, 000 to 3, 000 Power 7 computing cores in six refrigerator-size containers.
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Big Data is any data that requires massively parallel computational techniques to handle.
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