DocumentCode
1272202
Title
Data-Intensive Scalable Computing for Scientific Applications
Author
Bryant, Randal E.
Author_Institution
Carnegie Mellon University
Volume
13
Issue
6
fYear
2011
Firstpage
25
Lastpage
33
Abstract
Increasingly, scientific computing applications must accumulate and manage massive datasets, as well as perform sophisticated computations over these data. Such applications call for data-intensive scalable computer (DISC) systems, which differ in fundamental ways from existing high-performance computing systems.
Keywords
data handling; parallel processing; DISC; data intensive scalable computing; scientific applications; scientific computing applications; Computational modeling; Data models; Data storage; Database systems; Predictive models; Programming; Scientific computing; Data-intensive computing; MapReduce; e-Science;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2011.73
Filename
5953577
Link To Document