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  • Research Article
  • Open Access

Managing Algorithmic Skeleton Nesting Requirements in Realistic Image Processing Applications: The Case of the SKiPPER-II Parallel Programming Environment's Operating Model

  • 1Email author,
  • 2,
  • 2,
  • 2,
  • 2 and
  • 2
EURASIP Journal on Advances in Signal Processing20052005:218656

  • Received: 5 September 2003
  • Published:


SKiPPER is a SKeleton-based Parallel Programming EnviRonment being developed since 1996 and running at LASMEA Laboratory, the Blaise-Pascal University, France. The main goal of the project was to demonstrate the applicability of skeleton-based parallel programming techniques to the fast prototyping of reactive vision applications. This paper deals with the special features embedded in the latest version of the project: algorithmic skeleton nesting capabilities and a fully dynamic operating model. Throughout the case study of a complete and realistic image processing application, in which we have pointed out the requirement for skeleton nesting, we are presenting the operating model of this feature. The work described here is one of the few reported experiments showing the application of skeleton nesting facilities for the parallelisation of a realistic application, especially in the area of image processing. The image processing application we have chosen is a 3D face-tracking algorithm from appearance.

Keywords and phrases:

  • parallel programming
  • image processing
  • algorithmic skeleton
  • nesting
  • 3D face tracking

Authors’ Affiliations

Projet OASIS, INRIA Sophia-Antipolis, 2004 route des Lucioles, BP 93, 06902 Sophia-Antipolis Cedex, France
LASMEA (UMR 6602 UBP/CNRS), Université Blaise-Pascal-(Clermont II), Campus Universitaire des Cézeaux, 24 avenue des Landais, Aubiere Cedex, 63177, France


© Coudarcher et al. 2005