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Issue No. 06 - Nov.-Dec. (2011 vol. 13)
ISSN: 1521-9615
pp: 14-24
James Ahrens , Los Alamos National Laboratory
Bruce Hendrickson , Sandia National Labs
Gabrielle Long , Argonne National Laboratory
Steve Miller , Oak Ridge National Laboratory
Rob Ross , Argonne National Laboratory
Dean Williams , Lawrence Livermore National Laboratory
ABSTRACT
<p>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.</p>
INDEX TERMS
Data-intensive science, high-performance computing, data management, scientific computing
CITATION

S. Miller, R. Ross, D. Williams, G. Long, B. Hendrickson and J. Ahrens, "Data-Intensive Science in the US DOE: Case Studies and Future Challenges," in Computing in Science & Engineering, vol. 13, no. , pp. 14-24, 2011.
doi:10.1109/MCSE.2011.77
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