Paralleles Rechnen

Wissenschaftliche Mitarbeiter

• Prof. Burkhardt (Projektleiter)
• Michael Nölle
  
• Gerald Schreiber
• Andreas Bieniek
  
• Alina Moga
  
• Farouk Bouaziz
• Hanns Schulz-Mirbach
  

Projekte

• PIPS - a general purpose Parallel Image Processing System.
  Get the postscript version of this page (1.6 MB) here
  (short description), (full description).
• Konzepte zur Entwicklung paralleler Algorithmen der digitalen Bildverarbeitung
• Parallel computation in digital image processing
• Paralleles Rechnen in der digitalen Bildverarbeitung und Mustererkennung
• Anwendung von Invarianzprinzipien zur Merkmalgewinnung in der Mustererkennung

Publikationen

1

R. Klaus, H. Burkhardt, A. Bieniek, M. Nölle, G. Schreiber und H. Schulz-Mirbach. The Parallel Image Processing System PIPS. In R. Flieger und R. Grebe, Hrsg., Parallele Datenverarbeitung aktuell:TAT '94, S.288--293, Aachen, September 1994. IOS Press.

Abstract: PIPS is a parallel image processing system developed at the TU Hamburg Harburg. The structure of PIPS is highly modular and hierarchical. The scope of the PIPS functionality reaches from basic low level services up to high end user interfaces. PIPS is based on the message passing principle and is therefore portable to most distributed memory architectures. A wide range of library functions, along with implementations of many typical image processing algorithms, make it easy to integrate new parallel algorithms into PIPS. Using the high end interfaces the user views the parallel system as a powerful coprocessor attached to the host machine.
Get the postscript file here