Date: 11-12 June 2020
Event type: Online Conference
Platform: Zoom and Youtube (link provided upon registration)
Programme: Download
Publications: Proceedings published and openly accessible on SpringerLink as well as on the ICCS archive.
VECMA held an online conference on 11-12 June 2020 on “Multiscale Modelling, Uncertainty Quantification and the Reliability of Computer Simulations”. The conference was a combination of three events that were due to take place at the SIAM Conference on Uncertainty Quantification (UQ20) and the International Conference on Computational Science (ICCS) 2020, but were cancelled due to the COVID-19 pandemic. Our online conference fulfilled all three of these events in a two-day online event, and was made freely available and accessible to all.
The three events were:
1. A mini-symposium titled “Tools for enabling Verification, Validation and Uncertainty Quantification (VVUQ) in multiscale simulations and workflows” as part of SIAM UQ20.
2. A workshop titled “Multiscale Modelling and Simulation Workshop (MMS), 17th edition”, as part of ICCS2020
3. A thematic track titled “Uncertainty Quantification for Computational Models (UNEQUIvOCAL)”, also as part of ICCS2020
Tools for enabling Verification, Validation and Uncertainty Quantification (VVUQ) in multiscale simulations and workflows
The mini-symposium with the SIAM UQ20 focuses on VVUQ in multiscale simulations and workflows. Data-science and numerical simulation are moving rapidly toward a workflow based approach for complex multiscale or multiphysics problems, which better suits the many-tasks paradigm followed by HPC centres on the path to exascale. As a result, a wide range of tools and frameworks (both generic and domain specific) have been developed over the years in order to support scientists in designing, implementing and running their complex simulations and workflows efficiently on HPC systems. In order to produce “actionable” results, these simulations and workflows need to be validated, verified and equipped with uncertainty quantification (VVUQ) such that their output may be relied upon when making important decisions in various domains. The VECMA project aims at developing an open source Toolkit to ease and automate, where possible, the addition of VVUQ into such multiscale or multiphysics simulations. In this mini-symposium we invite developers of this toolkit to present its most recent version, and researchers in various domains (fusion, materials, climate, biomedicine, etc…) to present how it can be integrated into existing applications in order to add VVUQ capabilities.
Multiscale Modelling and Simulation (MMS), 17th edition
The MMS workshop is a well-established event at ICCS. Modelling and simulation of multiscale systems constitutes a grand challenge in computational science, and is widely applied in fields ranging from the physical sciences and engineering to the life sciences and socio-economic domains. Most of the real-life systems encompass interactions within and between a wide range of space and time scales, and/or on many separate levels of organization. They require the development of sophisticated models and computational techniques to accurately simulate the diversity and complexity of multiscale problems, and to effectively capture the wide range of relevant phenomena within these simulations. Additionally, these multiscale models frequently need large scale computing capabilities as well as dedicated software and services that enable the exploitation of existing and evolving computational ecosystems. This MMS workshop aims to provide a forum for multiscale application modellers, framework developers and experts from the distributed infrastructure communities to identify and discuss challenges in, and possible solutions for, modelling and simulating multiscale systems, as well as their execution on advanced computational resources and their validation against experimental data. For more information on the original workshop, see here.
Uncertainty Quantification for Computational Models (UNEQUIvOCAL)
The UNEQUIvOCAL thematic track reports some up-to-date research in uncertainty quantification for computational models. Given that uncertainty is unavoidable in almost all scientific fields, due to, for example, unknown parameters or simplifying modelling assumptions, uncertainty quantification is an indispensable part in state-of-the-art computational models. In order to build confidence in their results, it is therefore crucial that these models carry their own measure of uncertainty, especially when they are extrapolated beyond the domain in which they were originally calibrated. Also, the oncoming exascale computing resources will open up the possibility of solving problems with increased complexity and computational burden, exacerbating the importance (and demands) of reliable uncertainty quantification methods. This thematic track aims to attract research that focuses on new methods, which outperform existing techniques, as well as uncertainty quantification applications to complex problems. For more information on the original thematic track, see here.
Registration
Registration is open to all, free of charge:
https://docs.google.com/forms/d/1gC-tinffRTGnJKv8MbrbPACVPhc0kcqnmpCcGwt49RE/viewform?edit_requested=true
The link to the Zoom Webinar event will provided following registration.
Our combined conference is supported by SIAM UQ20 and ICCS2020, with a full agenda of contributors confirmed. The second annual release of the VECMA VVUQ Toolkit is scheduled to coincide with this event.
Contacts
Dr Olivier Hoenen, olivier.hoenen “at” ipp.mpg.de
Dr Derek Groen, derek.groen “at” brunel.ac.uk
Dr Wouter Edeling, wouter.edeling “at” cwi.nl