The Case of the Operating Mode of the Skipper-II Parallel Programming Environment for Handling Algorithmic Skeleton Nesting Requirements in Real-World Image Processing Applications
Keywords:
parallel programming, image processing, algorithmic skeleton, nesting, 3D face tracking.Abstract
Skipper is a Skeleton-based Parallel Programming Environment being developed since 1996 and running at LASMEA Lobooratory, 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.