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Issue No.06 - Nov.-Dec. (2011 vol.13)
pp: 14-24
Bruce Hendrickson , Sandia National Labs
Gabrielle Long , Argonne National Laboratory
Steve Miller , Oak Ridge National Laboratory
Rob Ross , Argonne National Laboratory
James Ahrens , Los Alamos National Laboratory
<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>
Data-intensive science, high-performance computing, data management, scientific computing
Bruce Hendrickson, Gabrielle Long, Steve Miller, Rob Ross, James Ahrens, "Data-Intensive Science in the US DOE: Case Studies and Future Challenges", Computing in Science & Engineering, vol.13, no. 6, pp. 14-24, Nov.-Dec. 2011, doi:10.1109/MCSE.2011.77
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