Dynamic Load Balancing for Uncertainty Quantification with Applications in Bayesian Inversion

Uncertainty quantification (UQ) workflows present a particular scheduling challenge in high performance computing environments, as they typically generate large numbers of heterogeneous model evaluations with loose but non-trivial dependencies between tasks. A static one-size-fits-all approach in tr