EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing Cover

EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing

Journal of Open Research Software

Volume 8 (2020): Issue 1

By: Robin A. Richardson, David W. Wright, Wouter Edeling, Vytautas Jancauskas, Jalal Lakhlili and Peter V. Coveney

Open Access

|Apr 2020

Authors

Robin A. Richardson

robin.richardson@ucl.ac.uk

Centre for Computational Science, Department of Chemistry, University College London

David W. Wright

dave.wright@ucl.ac.uk

Centre for Computational Science, Department of Chemistry, University College London

Wouter Edeling

Wouter.Edeling@cwi.nl

Centrum Wiskunde and Informatica, Amsterdam

Vytautas Jancauskas

vytautas.jancauskas@lrz.de

Leibniz Supercomputing Centre, Garching

Jalal Lakhlili

jalal.lakhlili@ipp.mpg.de

Max-Planck Institute for Plasma Physics – Garching, Munich

Peter V. Coveney

p.v.coveney@ucl.ac.uk

Centre for Computational Science, Department of Chemistry, University College London

DOI: https://doi.org/10.5334/jors.303 | Journal eISSN: 2049-9647

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Language: English

Submitted on: Sep 27, 2019

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Accepted on: Mar 23, 2020

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Published on: Apr 29, 2020

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Uncertainty Quantification,

High Performance Computing,

© 2020 Robin A. Richardson, David W. Wright, Wouter Edeling, Vytautas Jancauskas, Jalal Lakhlili, Peter V. Coveney, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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