4.5 Article

Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit*

Journal

JOURNAL OF COMPUTATIONAL SCIENCE
Volume 53, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jocs.2021.101402

Keywords

Validation; Verification; Sensitivity analysis; Uncertainty quantification

Funding

  1. European Union [800925]
  2. Netherlands eScience Center
  3. NWO under the e-MUSC project
  4. InSilc project
  5. In Silico World (ISW) project (European Union Horizon 2020 research and innovation programme) [777119, 101016503]
  6. H2020 Societal Challenges Programme [777119] Funding Source: H2020 Societal Challenges Programme

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The VECMA toolkit provides automated Verification, Validation and Uncertainty Quantification (VVUQ) for complex applications on emerging exascale platforms, with support for software applications in any domain. It consists of four main components: EasyVVUQ for VVUQ workflows, FabSim3 for automation and tool integration, MUSCLE3 for coupling multiscale models, and QCG tools for executing application workflows on HPC. A recent addition is EasySurrogate for various surrogate methods, aiming to provide hands-on experience for practitioners testing and contrasting their own applications.
The VECMA toolkit enables automated Verification, Validation and Uncertainty Quantification (VVUQ) for complex applications that can be deployed on emerging exascale platforms and provides support for software applications for any domain of interest. The toolkit has four main components including EasyVVUQ for VVUQ workflows, FabSim3 for automation and tool integration, MUSCLE3 for coupling multiscale models and QCG tools to execute application workflows on high performance computing (HPC). A more recent addition to the VECMAtk is EasySurrogate for various types of surrogate methods. In this paper, we present five tutorials from different application domains that apply these VECMAtk components to perform uncertainty quantification analysis, use surrogate models, couple multiscale models and execute sensitivity analysis on HPC. This paper aims to provide hands-on experience for practitioners aiming to test and contrast with their own applications.

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