VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations
Year: 2021
Type: article
Abstract: We present the VECMA toolkit (VECMAtk), a flexible software environment for single and multiscale simulations that introduces directly applicable and reusable procedures for verification, validation (V&V), sensitivity analysis (SA) and uncertainty quantication (UQ). It enables users to verify key aspects of their applications, systematically compare and validate the simulation outputs against observational or benchmark data, and run simulations conveniently on any platform from the desktop to current multi-petascale computers. In this sequel to our paper on VECMAtk which we presented last year [ 1 ] we focus on a range of functional and performance improvements that we have introduced, cover newly introduced components, and applications examples from seven different domains such as conflict modelling and environmental sciences. We also present several implemented patterns for UQ/SA and V&V, and guide the reader through one example concerning COVID-19 modelling in detail. This article is part of the theme issue ‘Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico ’.
Authors: D. Groen, H. Arabnejad, V. Jancauskas, W. N. Edeling, F. Jansson, R. A. Richardson, J. Lakhlili, L. Veen, B. Bosak, P. Kopta, D. W. Wright, N. Monnier, P. Karlshoefer, D. Suleimenova, R. Sinclair, M. Vassaux, A. Nikishova, M. Bieniek, Onnie O. Luk, M. Kulczewski, E. Raffin, D. Crommelin, O. Hoenen, D. P. Coster, T. Piontek, P. V. Coveney
Institutions: University College London, Brunel University of London, Leibniz Supercomputing Centre, Centrum Wiskunde & Informatica, Delft University of Technology, Netherlands eScience Center, Max Planck Institute for Plasma Physics, Poznan Supercomputing and Networking Center, Atos (France), University of Amsterdam
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W3092584845
