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

Authors:
James Ahrens;Bruce Hendrickson;Gabrielle Long;Steve Miller;Rob Ross;Dean Williams
Affiliations:
Los Alamos National Laboratory;Sandia National Labs;Argonne National Laboratory;Oak Ridge National Laboratory;Argonne National Laboratory;Lawrence Livermore National Laboratory
Venue:
Computing in Science and Engineering
Year:
2011

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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.