Democratizing uncertainty quantification

Linus Seelinger; Anne Reinarz; Mikkel B. Lykkegaard; Robert Akers; Amal M.A. Alghamdi; David Aristoff; Wolfgang Bangerth; Jean Bénézech; Matteo Diez; Kurt Frey; John D. Jakeman; Jakob S. Jørgensen; Ki Tae Kim; Benjamin M. Kent; Massimiliano Martinelli; Matthew Parno; Riccardo Pellegrini; Noemi Petra; Nicolai A.B. Riis; Katherine Rosenfeld; Andrea Serani; Lorenzo Tamellini; Umberto Villa; Tim J. Dodwell; Robert Scheichl

doi:10.1016/j.jcp.2024.113542

Democratizing uncertainty quantification

Linus Seelinger, Anne Reinarz, Mikkel B. Lykkegaard, Robert Akers, Amal M.A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob S. Jørgensen, Ki Tae Kim, Benjamin M. Kent, Massimiliano Martinelli, Matthew Parno, Riccardo Pellegrini, Noemi Petra, Nicolai A.B. Riis, Katherine RosenfeldAndrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	113542
Journal	Journal of Computational Physics
Volume	521
Early online date	30 Oct 2024
DOIs	https://doi.org/10.1016/j.jcp.2024.113542
Publication status	E-pub ahead of print - 30 Oct 2024

Data Availability Statement

Simulation codes and relevant data for inference problems are published as container images in the online benchmark library.

Keywords

Benchmarks
High-performance computing
Numerical simulation
Scientific software
Uncertainty quantification

ASJC Scopus subject areas

Numerical Analysis
Modelling and Simulation
Physics and Astronomy (miscellaneous)
General Physics and Astronomy
Computer Science Applications
Computational Mathematics
Applied Mathematics

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10.1016/j.jcp.2024.113542Licence: CC BY

Cite this

Seelinger, L., Reinarz, A., Lykkegaard, M. B., Akers, R., Alghamdi, A. M. A., Aristoff, D., Bangerth, W., Bénézech, J., Diez, M., Frey, K., Jakeman, J. D., Jørgensen, J. S., Kim, K. T., Kent, B. M., Martinelli, M., Parno, M., Pellegrini, R., Petra, N., Riis, N. A. B., ... Scheichl, R. (2025). Democratizing uncertainty quantification. Journal of Computational Physics, 521, Article 113542. Advance online publication. https://doi.org/10.1016/j.jcp.2024.113542

Seelinger, L, Reinarz, A, Lykkegaard, MB, Akers, R, Alghamdi, AMA, Aristoff, D, Bangerth, W, Bénézech, J, Diez, M, Frey, K, Jakeman, JD, Jørgensen, JS, Kim, KT, Kent, BM, Martinelli, M, Parno, M, Pellegrini, R, Petra, N, Riis, NAB, Rosenfeld, K, Serani, A, Tamellini, L, Villa, U, Dodwell, TJ & Scheichl, R 2025, 'Democratizing uncertainty quantification', Journal of Computational Physics, vol. 521, 113542. https://doi.org/10.1016/j.jcp.2024.113542

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abstract = "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.",

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AU - Aristoff, David

AU - Bangerth, Wolfgang

AU - Bénézech, Jean

AU - Diez, Matteo

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AU - Jakeman, John D.

AU - Jørgensen, Jakob S.

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AU - Kent, Benjamin M.

AU - Martinelli, Massimiliano

AU - Parno, Matthew

AU - Pellegrini, Riccardo

AU - Petra, Noemi

AU - Riis, Nicolai A.B.

AU - Rosenfeld, Katherine

AU - Serani, Andrea

AU - Tamellini, Lorenzo

AU - Villa, Umberto

AU - Dodwell, Tim J.

AU - Scheichl, Robert

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Democratizing uncertainty quantification

Abstract

Data Availability Statement

Keywords

ASJC Scopus subject areas

Access to Document

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