Title :
Data-Intensive Science in the US DOE: Case Studies and Future Challenges
Author :
Ahrens, James P. ; Hendrickson, Bruce ; Long, Gabrielle ; Miller, Steve ; Ross, Robert ; Williams, Dean
Author_Institution :
Los Alamos Nat. Lab., Los Alamos, NM, USA
Abstract :
Given its leading role in high-performance computing for modeling and simulation and its many experimental facilities, the US Department of Energy has a tremendous need for data-intensive science. Locating the challenges and commonalities among three case studies illuminates, in detail, the technical challenges involved in realizing data-intensive science.
Keywords :
data handling; natural sciences computing; US department of energy; data intensive science; experimental facilities; high performance computing; Analytical models; Computational modeling; Data models; Distributed databases; Laboratories; Meteorology; US Department of Energy; Data-intensive science; data management; high-performance computing; scientific computing;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2011.77
