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VESTEC

Visual Exploration and Sampling Toolkit for Extreme Computing

VESTEC was a European funded project that aimed to build a flexible toolchain to combine multiple data sources, efficiently extract essential features, enable flexible scheduling and interactive supercomputing, and realise 3D visualization environments for interactive explorations by stakeholders and decision makers.

VESTEC aimed to develop and evaluate methods and interfaces to integrate high-performance data analytics processes into running simulations and real-time data environments. Interactive ensemble management was intended to launch new simulations for new data, building up statistically more and more accurate pictures of emerging, time-critical phenomena. Innovative data compression approaches, based on topological feature extraction and data sampling, were intended to result in considerable reductions in storage and processing demands by discarding domain-irrelevant data.

For information about PDC's role in VESTEC, contact:

Stefano Markidis
Stefano Markidis professor