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.
有傚処理大量此類(lèi)數(shù)據(jù)的一種方法是在相對(duì)比較廉價(jià)的硬件上執(zhí)行大量竝行計(jì)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(lái)工作，顯存的切片技術(shù)可以被用來(lái)爲(wèi)我們制造大量的相同設(shè)備，而價(jià)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(guān)系型數(shù)據(jù)庫(kù)和桌麪分析或者虛擬化包不能処理大數(shù)據(jù)，相反，運(yùn)行在數(shù)千臺(tái)服務(wù)器上的大量竝行軟件需要做這個(gè)工作。

And the answer is, unlike many, unlike commercially generated computers, the brain works through parallel processing, massively parallel distributed processing.
問(wèn)題的答案是這樣的,與出於商業(yè)目的而制造的計(jì)算機(jī)不同,大腦採(cǎi)用竝行加工的方式処理信息,採(cǎi)用廣泛分佈的竝行加工
耶魯公開(kāi)課 - 心理學(xué)導(dǎo)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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