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19 April 2024 |
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Article overview
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VECMAtk: A Scalable Verification, Validation and Uncertainty Quantification toolkit for Scientific Simulations | | 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. Monnieri
; P. Karlshoefer
; D. Suleimenova
; R. Sinclair
; M. Vassaux
; A. Nikishova
; M. Bieniek
; O. O. Luk
; M. Kulczewski
; E. Raffin
; D. Crommelin
; O. Hoenen
; D. P. Coster
; T. Piontek
; P. V. Coveney
; | | Date: |
8 Oct 2020 | | 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 quantification (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,
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. | | Source: | arXiv, 2010.03923 | | Services: | Forum | Review | PDF | Favorites | |
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