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.
Researchers from the Brunel University London led by Dr Derek Groen have developed the Flu And Corona virus Simulator (FACS), a simulation tool that models the viral spread at the sub-national level, incorporating geospatial data sources to extract buildings and residential areas within a predefined region. Using FACS, the researchers can model Covid-19 spread at…
The Centre for Computational Science (CCS) of University College London (UCL) is 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 post-holder will work primarily on scientific…
VECMA was featured in a FETFX e-Magazine article titled ‘Reliability and Reproducibility in Computational Science: Can We Trust Algorithms?’. The article mentions the progress with VECMAtk in terms of facilitating reliability in computer simulations, and features the newly-produced VECMA video.