Final Technical Report: Quantification of Uncertainty in Extreme Scale Computations (QUEST)

Technical Report · Tue Jun 06 04:00:00 EDT 2017

DOI:https://doi.org/10.2172/1361411· OSTI ID:1361411

Knio, Omar M. ^[1]

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1. Duke Univ., Durham, NC (United States). Dept. of Mechanical Engineering and Materials Science; Duke University

QUEST is a SciDAC Institute comprising Sandia National Laboratories, Los Alamos National Laboratory, University of Southern California, Massachusetts Institute of Technology, University of Texas at Austin, and Duke University. The mission of QUEST is to: (1) develop a broad class of uncertainty quantification (UQ) methods/tools, and (2) provide UQ expertise and software to other SciDAC projects, thereby enabling/guiding their UQ activities. The Duke effort focused on the development of algorithms and utility software for non-intrusive sparse UQ representations, and on participation in the organization of annual workshops and tutorials to disseminate UQ tools to the community, and to gather input in order to adapt approaches to the needs of SciDAC customers. In particular, fundamental developments were made in (a) multiscale stochastic preconditioners, (b) gradient-based approaches to inverse problems, (c) adaptive pseudo-spectral approximations, (d) stochastic limit cycles, and (e) sensitivity analysis tools for noisy systems. In addition, large-scale demonstrations were performed, namely in the context of ocean general circulation models.

• Research Organization: Duke Univ., Durham, NC (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
• DOE Contract Number: SC0008789
• OSTI ID: 1361411
• Report Number(s): DOE--DUKE-SC--08789
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING