Using a CCA compliant framework for parallel remote visualization

In this paper we report our experiences in the definition of the component structure of a remote visualization parallel software using Ccaffeine, a common component architecture (CCA) framework for high performance computing. Remote visualization is a key issue in many grid applications and a demanding task both from the design and the computational point of view. For this reason adequate parallel algorithms and programming tools are necessary in order to face problems that arise implementing a remote visualization system for grid architectures. The use of Ccaffeine for the componentization of a parallel software module for isosurface extraction is described. Programming aspects and performance overheads of the Ccaffeine component for parallel isosurface extraction are discussed.