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

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6 Author(s)
Ahrens, J. ; Los Alamos Nat. Lab., Los Alamos, NM, USA ; Hendrickson, B. ; Long, G. ; Miller, S.
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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.

Published in:

Computing in Science & Engineering  (Volume:13 ,  Issue: 6 )