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| James Ahrens, Bruce Hendrickson, Gabrielle Long, Steve Miller, Rob Ross, Dean Williams, "Data-Intensive Science in the US DOE: Case Studies and Future Challenges," Computing in Science and Engineering, vol. 13, no. 6, pp. 14-24, Nov.-Dec., 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/MCSE.2011.77, author = {James Ahrens and Bruce Hendrickson and Gabrielle Long and Steve Miller and Rob Ross and Dean Williams}, title = {Data-Intensive Science in the US DOE: Case Studies and Future Challenges}, journal ={Computing in Science and Engineering}, volume = {13}, number = {6}, issn = {1521-9615}, year = {2011}, pages = {14-24}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2011.77}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - Data-Intensive Science in the US DOE: Case Studies and Future Challenges IS - 6 SN - 1521-9615 SP14 EP24 EPD - 14-24 A1 - James Ahrens, A1 - Bruce Hendrickson, A1 - Gabrielle Long, A1 - Steve Miller, A1 - Rob Ross, A1 - Dean Williams, PY - 2011 KW - Data-intensive science KW - high-performance computing KW - data management KW - scientific computing VL - 13 JA - Computing in Science and Engineering ER - | |||
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.
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