Large-Scale CFD Data Handling in a VR-Based Otorhinolaryngological CAS-System using a Linux-Cluster

  • Authors:

  • Andreas Gerndt;Thomas Van Reimersdahl;Torsten Kuhlen;Christian Bischof;Ingolf Hörschler;Matthias Meinke;Wolfgang Schröder

  • Affiliations:

  • Computing and Communication Center, Aachen University of Technology, Aachen, Germany;Computing and Communication Center, Aachen University of Technology, Aachen, Germany;Computing and Communication Center, Aachen University of Technology, Aachen, Germany;Computing and Communication Center, Aachen University of Technology, Aachen, Germany;Aerodynamics Institute, Aachen University of Technology, Aachen, Germany;Aerodynamics Institute, Aachen University of Technology, Aachen, Germany;Aerodynamics Institute, Aachen University of Technology, Aachen, Germany

  • Venue:
  • The Journal of Supercomputing
  • Year:
  • 2003

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Abstract

Many of the operations to eliminate complaints concerning respiration impairments fail. In order to improve the success rate, it is important to recognize the responsiveness of the flow field within the nasal cavities. Therefore, we are developing a computer assisted surgery (CAS) system that combines computational fluid dynamics (CFD) and virtual reality (VR) technology. However, the primary prerequisite for VR-based applications is real-time interaction. A single graphics workstation is not capable of satisfying this condition and of simultaneously calculating flow features employing the huge CFD data set. In this paper, we will present our approach of a distributed system that relieves the load on the graphics workstation and makes use of an “off-the-shelf” parallel Linux cluster calculating streamlines. Moreover, we introduce first results and discuss remaining difficulties.