SDM center technologies for accelerating scientific discoveries

Arie Shoshani, Ilkay Altintas, Alok Choudhary, Terence Critchlow, Chandrika Kamath, Bertram Ludäscher, Jarek Nieplocha, Steve Parker, Rob Ross, Nagiza Samatova, Mladen Vouk

Research output: Contribution to journalArticlepeer-review


With the increasing volume and complexity of data produced by ultra-scale simulations and high-throughput experiments, understanding the science is largely hampered by the lack of comprehensive, end-to-end data management solutions ranging from initial data acquisition to final analysis and visualization. The SciDAC-1 Scientific Data Management (SDM) Center succeeded in bringing an initial set of advanced data management technologies to DOE application scientists in astrophysics, climate, fusion, and biology. Equally important, it established collaborations with these scientists to better understand their science as well as their forthcoming data management and data analytics challenges. Our future focus is on improving the SDM framework to address the needs of ultra-scale science during SciDAC-2. Specifically, we are enhancing and extending our existing tools to allow for more interactivity and fault tolerance when managing scientists' workflows, for better parallelism and feature extraction capabilities in their data analytics operations, and for greater efficiency and functionality in users' interactions with local parallel file systems, active storage, and access to remote storage. These improvements are necessary for the scalability and complexity challenges presented by hardware and applications at ultra scale, and are complemented by continued efforts to work with application scientists in various domains.

Original languageEnglish (US)
Article number012068
JournalJournal of Physics: Conference Series
Issue number1
StatePublished - Jul 1 2007
Externally publishedYes

ASJC Scopus subject areas

  • General Physics and Astronomy


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