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Shape analysis using high-performance computing techniques

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4 Author(s)
Clematis, A. ; Nat. Res. Council, Genova, Italy ; Coda, A. ; Falcidieno, B. ; Spagnuolo, M.

Shape understanding and modelling are complex procedures, which are the result of different specific processes. Generally, many steps in these processes may require a high computational-effort, thus making the use of parallel processing an interesting possibility. A typical example is feature recognition, a key tool towards shape understanding, which is applied to detect either local or region-wide characteristics. In this paper a survey is provided about the possibility of using parallel processing at different stages of the shape-understanding process. The parallelisation strategies will be described in details and results will be provided both for workstation networks and massively parallel machine (Cray T3D)

Published in:

Shape Modeling and Applications, 1999. Proceedings. Shape Modeling International '99. International Conference on

Date of Conference:

1-4 Mar 1999