Groen, D;
Arabnejad, H;
Jancauskas, V;
Edeling, WN;
Jansson, F;
Richardson, RA;
Lakhlili, J;
... Coveney, PV; + view all
(2021)
VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
, 379
(2197)
, Article 20200221. 10.1098/rsta.2020.0221.
Preview |
Text
rsta.2020.0221.pdf - Published Version Download (1MB) | Preview |
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'.
| Type: | Article |
|---|---|
| Title: | VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1098/rsta.2020.0221 |
| Publisher version: | http://dx.doi.org/10.1098/rsta.2020.0221 |
| Language: | English |
| Additional information: | 2021 The Authors. Published by the Royal Society under the terms of the © Creative Commons Attribution License http://creativecommons.org/licenses/ by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
| Keywords: | multiscale simulations, uncertainty quantification, validation, verification |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Chemistry |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10126161 |
Archive Staff Only
 |
View Item |
