Paper Info
Title
Data-Intensive Scalable Computing for Scientific Applications
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.
Year
DOI
Venue
2011
10.1109/MCSE.2011.73
Computing in Science and Engineering
Keywords
Field
DocType
massive datasets,scientific applications,high-performance computing system,fundamental way,scientific computing application,data-intensive scalable computing,sophisticated computation,data-intensive scalable computer,data handling,data model,computer model,database system,predictive models,computational modeling,parallel processing,data intensive computing,data storage,data models,database systems,programming,scientific computing,prediction model
Data modeling,Unconventional computing,Data-intensive computing,Computer science,Computer data storage,e-Science,Theoretical computer science,Computational science,End-user computing,Group method of data handling,Scalability
Journal
Volume
Issue
ISSN
13
6
1521-9615
Citations 
PageRank 
References 
12
0.70
14
Authors
1
Name
Order
Citations
PageRank
Randal E. Bryant192041194.64