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Democratizing uncertainty quantification

delete2025-01-01
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OA
AI
L
Linus Seelinger *
A
Anne Reinarz
M
Mikkel B. Lykkegaard
R
R. Akers
A
Amal Alghamdi
D
David Aristoff
W
Wolfgang Bangerth
J
Jean Bénézech
M
Matteo Diez
K
Kurt Frey
J
John Jakeman
J
Jakob Sauer Jørgensen
K
Ki-Tae Kim
B
Benjamin M. Kent
M
Massimiliano Martinelli
M
Matthew Parno
R
Riccardo Pellegrini
N
Noémi Petra
N
Nicolai A. B. Riis
K
Katherine Rosenfeld
A
Andrea Serani
L
Lorenzo Tamellini
U
Umberto Villa
T
Tim Dodwell
R
Robert Scheichl
DOI:10.1016/j.jcp.2024.113542delete
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Abstract

Abstract

En 中文
Uncertainty Quantification (UQ) is vital to safety-critical model-based analyses, but the widespread adoption of sophisticated UQ methods is limited by technical complexity. In this paper, we introduce UM-Bridge (the UQ and Modeling Bridge), a high-level abstraction and software protocol that facilitates universal interoperability of UQ software with simulation codes. It breaks down the technical complexity of advanced UQ applications and enables separation of concerns between experts. UM-Bridge democratizes UQ by allowing effective interdisciplinary collaboration, accelerating the development of advanced UQ methods, and making it easy to perform UQ analyses from prototype to High Performance Computing (HPC) scale. In addition, we present a library of ready-to-run UQ benchmark problems, all easily accessible through UM-Bridge. These benchmarks support UQ methodology research, enabling reproducible performance comparisons. We demonstrate UM-Bridge with several scientific applications, harnessing HPC resources even using UQ codes not designed with HPC support.
Keywords:
Uncertainty quantification
Numerical simulation
Benchmarks
Scientific software
High-performance computing
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Journal

Journal of Computational Physics cover
Journal of Computational Physics
IF:
3.8
Papers:
1.5W
Citations:
7.4W

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C
Colorado State University System
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University of California System cover
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