Improving Performance of Sampling-Based Uncertainty Quantification on Advanced Computing Architectures Through Embedded Ensemble Propagation.
Conference
·
OSTI ID:1496672
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1496672
- Report Number(s):
- SAND2014-15555PE; 533565
- Resource Relation:
- Conference: Proposed for presentation at the 2014 SIAM Annual Meeting held July 7-11, 2014 in Chicago, IL.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Improving Sampling-based Uncertainty Quantification Performance Through Embedded Ensemble Propagation.
Embedded Ensemble Propagation for Improving Performance Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures.
Embedded ensemble propagation for improving performance, portability, and scalability of uncertainty quantification on emerging computational architectures
Conference
·
Sat Jul 01 00:00:00 EDT 2017
·
OSTI ID:1496672
+1 more
Embedded Ensemble Propagation for Improving Performance Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures.
Conference
·
Tue Mar 01 00:00:00 EST 2016
·
OSTI ID:1496672
+3 more
Embedded ensemble propagation for improving performance, portability, and scalability of uncertainty quantification on emerging computational architectures
Journal Article
·
Tue Apr 18 00:00:00 EDT 2017
· SIAM Journal on Scientific Computing
·
OSTI ID:1496672
+3 more