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VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations.
Groen, D; Arabnejad, H; Jancauskas, V; Edeling, W N; Jansson, F; Richardson, R A; Lakhlili, J; Veen, L; Bosak, B; Kopta, P; Wright, D W; Monnier, N; Karlshoefer, P; Suleimenova, D; Sinclair, R; Vassaux, M; Nikishova, A; Bieniek, M; Luk, Onnie O; Kulczewski, M; Raffin, E; Crommelin, D; Hoenen, O; Coster, D P; Piontek, T; Coveney, P V.
  • Groen D; Department of Computer Science, Brunel University London, London, UK.
  • Arabnejad H; Centre for Computational Science, University College London, London, UK.
  • Jancauskas V; Department of Computer Science, Brunel University London, London, UK.
  • Edeling WN; Leibniz Supercomputing Centre, Garching, Germany.
  • Jansson F; Centrum Wiskunde and Informatica, Amsterdam, The Netherlands.
  • Richardson RA; Centrum Wiskunde and Informatica, Amsterdam, The Netherlands.
  • Lakhlili J; Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands.
  • Veen L; Centre for Computational Science, University College London, London, UK.
  • Bosak B; Netherlands eScience Center, Amsterdam, The Netherlands.
  • Kopta P; Max Planck Institute for Plasma Physics - Garching, Munich, Germany.
  • Wright DW; Netherlands eScience Center, Amsterdam, The Netherlands.
  • Monnier N; Poznan Supercomputing and Networking Center, Poznan, Poland.
  • Karlshoefer P; Poznan Supercomputing and Networking Center, Poznan, Poland.
  • Suleimenova D; Centre for Computational Science, University College London, London, UK.
  • Sinclair R; CEPP - Center for Excellence in Performance Programming, Atos Bull, Rennes, France.
  • Vassaux M; CEPP - Center for Excellence in Performance Programming, Atos Bull, Rennes, France.
  • Nikishova A; Department of Computer Science, Brunel University London, London, UK.
  • Bieniek M; Centre for Computational Science, University College London, London, UK.
  • Luk OO; Centre for Computational Science, University College London, London, UK.
  • Kulczewski M; Computational Science Lab, Institute for Informatics, University of Amsterdam, Amsterdam, The Netherlands.
  • Raffin E; Centre for Computational Science, University College London, London, UK.
  • Crommelin D; Max Planck Institute for Plasma Physics - Garching, Munich, Germany.
  • Hoenen O; Poznan Supercomputing and Networking Center, Poznan, Poland.
  • Coster DP; CEPP - Center for Excellence in Performance Programming, Atos Bull, Rennes, France.
  • Piontek T; Centrum Wiskunde and Informatica, Amsterdam, The Netherlands.
  • Coveney PV; Korteweg-de Vries Institute for Mathematics, Amsterdam, The Netherlands.
Philos Trans A Math Phys Eng Sci ; 379(2197): 20200221, 2021 May 17.
Article in English | MEDLINE | ID: covidwho-1155842
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'.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Philos Trans A Math Phys Eng Sci Journal subject: Biophysics / Biomedical Engineering Year: 2021 Document Type: Article Affiliation country: Rsta.2020.0221

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Philos Trans A Math Phys Eng Sci Journal subject: Biophysics / Biomedical Engineering Year: 2021 Document Type: Article Affiliation country: Rsta.2020.0221