Data intensive computing at Sandia.
Conference
·
OSTI ID:1028389
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.
- Research Organization:
- Sandia National Laboratories
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1028389
- Report Number(s):
- SAND2010-6664C
- Country of Publication:
- United States
- Language:
- English
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