Embedded Sampling?Based Uncertainty Quantification Approaches for Emerging Computer Architectures.
Conference
·
OSTI ID:1246872
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, Livermore, CA
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
- DOE Contract Number:
- AC04-94AL85000;
- OSTI ID:
- 1246872
- Report Number(s):
- SAND2015-1763C; 579775
- Conference Information:
- Proposed for presentation at the 2015 SIAM Conference on Computational Science and Engineering held March 13-18, 2015 in Salt Lake City, UT.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Improving Performance of Sampling-Based Uncertainty Quantification on Advanced Computing Architectures Through Embedded Ensemble Propagation.
Embedded Ensemble Propagation for Improving Performance Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures.
Exploring Embedded Uncertainty Quantification Methods on Next-Generation Computer Architectures.
Conference
·
2014
·
OSTI ID:1496672
Embedded Ensemble Propagation for Improving Performance Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures.
Conference
·
2016
·
OSTI ID:1348104
Exploring Embedded Uncertainty Quantification Methods on Next-Generation Computer Architectures.
Conference
·
2015
·
OSTI ID:1244446