3 papers
cs.DC2026
Dynamic Load Balancing for Uncertainty Quantification with Applications in Bayesian Inversion
C. M. Loi, M. Wille, A. Reinarz
Uncertainty Quantification (UQ) workflows present a particular scheduling challenge in high performance computing environments, as they typically generate large numbers of heteroge…
cs.DC2025
A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems
Chung Ming Loi, Anne Reinarz, Mikkel Lykkegaard +3
Uncertainty Quantification (UQ) workloads are becoming increasingly common in science and engineering. They involve the submission of thousands or even millions of similar tasks wi…
cs.MS2024
Democratizing Uncertainty Quantification
Linus Seelinger, Anne Reinarz, Mikkel B. Lykkegaard +22
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 thi…