Title :
Data-Intensive Scalable Computing for Scientific Applications
Author :
Bryant, Randal E.
Author_Institution :
Carnegie Mellon University
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;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2011.73
