|About this Abstract
||2016 TMS Annual Meeting & Exhibition
||Computational Methods for Uncertainty Quantification, Model Validation, and Stochastic Predictions
||Uncertainty Quantification Algorithms for Large-scale Systems
|On-Site Speaker (Planned)
The field of uncertainty quantification (UQ) has received an increasing amount of attention. Extensive research efforts have been devoted to it, and many novel
numerical techniques have been developed. These techniques aim to conduct
stochastic simulations for very large-scale complex systems. Although remarkable progresses have been made, UQ simulations remains challenging due to their exceedingly high simulation cost for problems at extreme scales.
Here we will review the new UQ methods for large-scale systems. These methods are (1) non-intrusive, such that they can be directly applied to systems with legacy codes; and (2) capacity-based, such that they deliver the (near) optimal result based on the available simulation capacity. Consequently, these methods deliver the best UQ simulation results based on any given computational resource one can afford.
||Planned: A print-only volume