Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit

The VECMA toolkit enables automated Verification, Validation and Uncertainty Quantification (VVUQ) for complex applications that can be deployed on emerging exascale platforms and provides support for software applications for any domain of interest. The toolkit has four main components including EasyVVUQ for VVUQ workflows, FabSim3 for automation and tool integration, MUSCLE3 for coupling multiscale models and QCG tools to execute application workflows on high performance computing (HPC). A more recent addition to the VECMAtk is EasySurrogate for various types of surrogate methods. In this paper, we present five tutorials from different application domains that apply these VECMAtk components to perform uncertainty quantification analysis, use surrogate models, couple multiscale models and execute sensitivity analysis on HPC. This paper aims to provide hands-on experience for practitioners aiming to test and contrast with their own applications

EasyVVUQ

Python 3 library to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations

VECMA toolkit for VVUQ

The VECMAtk establishes a platform for verification, validation and uncertainty quantification (VVUQ). The goal is to provide tools that can be combined to capture complex scenarios, applied to applications in disparate domains, and used to run multiscale simulations on any desktop, cluster or supercomputing platform

EasyVVUQ: Covidsim version

Version of EasyVVUQ used to generate the results of: W. Edeling. H. Arabnejad, R. Sinclair et al, The Impact of Uncertainty on Predictions of the CovidSim Epidemiological Code, Nat Comp Sci, 2021