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Verified Exascale Computing for Multiscale Applications

The purpose of the VECMA project is to enable a diverse set of multiscale, multiphysics applications to run on current multi-petascale computers and emerging exascale environments with high fidelity such that their output is “actionable”. That is, the calculations and simulations are certifiable as validated (V), verified (V) and equipped with uncertainty quantification (UQ) by tight error bars such that they may be relied upon for making important decisions in all the domains of concern. The central deliverable is an open source toolkit for multiscale VVUQ based on generic multiscale VV and UQ primitives, to be released in stages over the lifetime of this project, fully tested and evaluated in emerging exascale environments, actively promoted over the lifetime of this project, and made widely available in European HPC centres.

VECMA in a Nutshell

Computer simulations are being used to predict the weather and climate change, model refugees, understand materials, develop nuclear fusion, and inform medical decisions. But if we are to use simulations in order to makes predictions on the global climate emergency, guide aid to migrants fleeing combat, create new materials, help invent the first fusion reactor, and allow doctors to test medication on a virtual you (before the real you), then those simulations need to be reliable. In other words, they need to be validated, verified, and their uncertainty quantified, so that they can feed into real life applications and decisions. The VECMA project is developing software tools in order to validate, verify, and quantify the uncertainty on each of these simulation applications, and many besides.

Take a look at our “VECMA Explained” page to understand the key concepts at play.

Latest News

Virtual Workshop: Multiscale Modelling, Uncertainty Quantification and the Reliability of Computer Simulations

Date: 11-12 June 2020 Format: Online Virtual Workshop Online Platform: TBC VECMA is holding a virtual workshop on 11-12 June 2020 on “Multiscale Modelling, Uncertainty Quantification and the Reliability of Computer Simulations”. The virtual workshop is a combination of three workshops that were due to take place at the SIAM Conference on Uncertainty Quantification (UQ20)…

3-year PhD studentship in the simulation of chaotic systems

The Centre for Computational Science (CCS) of University College London (UCL) in collaboration with CBK Sci Con are offering a fully-funded studentship to a highly motivated candidate to start in September 2020. The studentship will cover tuition fees at UK/EU rate plus a maintenance stipend of £17,285 (tax free) per annum for three years. The…

Month 18 release of the VECMA VVUQ Toolkit

We are pleased to announce the Month 18 release of the VECMA VVUQ Toolkit (VECMAtk). The VECMAtk provides several tools for end users to capture complex scenarios, applied to applications in wide science and engineering domains, and used to run multiscale simulations on any desktop, cluster or supercomputing platform. Some new features have been added…