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.
- 2016 - 2020
- Thomas Bäck
- Honda Research Insitute Europe
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.
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.
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.