Data-Intensive Science in the US DOE: Case Studies and Future Challenges

被引：22

作者：

Ahrens, James P. ^{[1
]}

Hendrickson, Bruce ^{[2
]}

Long, Gabrielle ^{[3
]}

Miller, Steve ^{[4
]}

Ross, Robert

Williams, Dean ^{[5
]}

机构：

[1] Los Alamos Natl Lab, Appl Comp Sci Grp, Data Sci Scale Team, Los Alamos, NM 87545 USA

[2] Sandia Natl Labs, Livermore, CA 94550 USA

[3] Argonne Natl Lab, Xray Sci Div, Argonne, IL 60439 USA

[4] Oak Ridge Natl Lab, Neutron Scattering Sci Div, Data Syst Sect, Oak Ridge, TN USA

[5] Lawrence Livermore Natl Lab, Program Climate Model Diag & Intercomparison, Livermore, CA USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2011年 / 13卷 / 06期

关键词：

Data management; Data-intensive science; High-performance computing; Scientific computing;

D O I：

10.1109/MCSE.2011.77

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：14 / 23

页数：10