Nowadays computing and data infrastructures allow a new quality of algorithms to process, to analyze and to visualize large data volumes. We develop algorithms for

  • imaging systems and ultrasonic physics
  • digital signal and image processing
  • pattern recognition and data analysis
  • visualization

For example “Compressive Sampling” is a new method enabling the reconstruction of imaged volumes based on incomplete measurement. However, these new class of algorithms requires huge amounts of processing, memory and data throughput capacities to reconstruct 3D data sets. The Large Scale Data Facility and its directly connected data intensive computing resources will allow the processing of 1024^3 volumes in near real-time using special adapted algorithms.

Copyright by SWM, KIT – Universität des Landes Baden-Württemberg und nationales Forschungszentrum in der Helmholtz-Gemeinschaft
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