2017
DOI: 10.1038/nbt.3951
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Greener revolutions for all require transparency and diversity, not secrecy

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“…Therefore, in recent years, academia and industry have been researching and introducing many different big data computing models [17]. Big data computing models, i.e., various abstractions or models distilled and built from the diversity of big data computing problems and requirements according to the different data characteristics and computing features of big data [18][19][20][21][22]. Traditional parallel algorithms define more underlying models mainly at the programming language and architecture levels, big data processing requires more consideration of higher-level computational models in conjunction with these high-level features [23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, in recent years, academia and industry have been researching and introducing many different big data computing models [17]. Big data computing models, i.e., various abstractions or models distilled and built from the diversity of big data computing problems and requirements according to the different data characteristics and computing features of big data [18][19][20][21][22]. Traditional parallel algorithms define more underlying models mainly at the programming language and architecture levels, big data processing requires more consideration of higher-level computational models in conjunction with these high-level features [23][24][25].…”
Section: Introductionmentioning
confidence: 99%