DOE OSTI · 1028389
Data intensive computing at Sandia.
Abstract
Data-Intensive Computing is parallel computing where you design your algorithms and your software around efficient access and traversal of a data set; where hardware requirements are dictated by data size as much as by desired run times usually distilling compact results from massive data.
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Wilson, Andrew T. 2010-09-01. Data intensive computing at Sandia.. https://www.osti.gov/biblio/1028389
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