TY - JOUR
T1 - Democratizing uncertainty quantification
AU - Seelinger, Linus
AU - Reinarz, Anne
AU - Lykkegaard, Mikkel B.
AU - Akers, Robert
AU - Alghamdi, Amal M.A.
AU - Aristoff, David
AU - Bangerth, Wolfgang
AU - Bénézech, Jean
AU - Diez, Matteo
AU - Frey, Kurt
AU - Jakeman, John D.
AU - Jørgensen, Jakob S.
AU - Kim, Ki Tae
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
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Benchmarks
KW - High-performance computing
KW - Numerical simulation
KW - Scientific software
KW - Uncertainty quantification
U2 - 10.1016/j.jcp.2024.113542
DO - 10.1016/j.jcp.2024.113542
M3 - Journal article
AN - SCOPUS:85208173240
SN - 0021-9991
VL - 521
JO - Journal of Computational Physics
JF - Journal of Computational Physics
M1 - 113542
ER -