Universiteit Leiden

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Research project

DAMIOSO - data mining on high volume simulation output

Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing such massive volumes of data and to learn from them.

Duration
2016  -   2020
Contact
Thomas Bäck
Funding
NWO
 
Honda Research Insitute Europe
Partners

Centrum voor Wiskunde en Informatica (CWI)

Honda Reseach Institute (HRI-EU)

MonetDB

Complex simulations

Computer-aided simulation tools play a central role in modern design processes for various industries such as the automotive industry. The simulations provide feedback to the designers without the costs of, for example, creating a real-life model for wind-tunnel testing. In the near future, industry is likely to use even more complex simulations, increasing the amount of generated data from gigabytes to terabytes.

Toolbox

To usefully manage these volumes of data, new automated methods are needed. The DAMIOSO project aims to create such methods, with a focus on three main topics: data storage, knowledge extraction and automated optimization. Combined, this leads to a toolbox of general-purpose methods that can be used for many applications.

Research partners

This project is a cooperation between Leiden Institute of Advanced Computer Science (LIACS), the Centrum Wiskunde & Informatica (CWI) in Amsterdam and the Honda Research Institute Europe in Offenbach, Germany.

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