massively parallel

基本解釋

One approach to handling this broad set of problems efficiently is through massively parallel computations on relatively inexpensive hardware.
有效處理大量此類數(shù)據(jù)的一種方法是在相對比較廉價的硬件上執(zhí)行大量并行計算。
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(tài)納米孔可以用來工作，顯存的切片技術可以被用來為我們制造大量的相同設備，而價格低于每片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(shù)據(jù)庫和桌面分析或者虛擬化包不能處理大數(shù)據(jù)，相反，運行在數(shù)千臺服務器上的大量并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,與出于商業(yè)目的而制造的計算機不同,大腦采用并行加工的方式處理信息,采用廣泛分布的并行加工
耶魯公開課 - 心理學導論課程節(jié)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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