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Parallel image processing in heterogeneous computing network systems

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4 Author(s)
P. Chalermwat ; Lab. of Parallel & Distributed Comput., George Washington Univ., Washington, DC, USA ; N. Alexandridis ; P. Piamsa-Nga ; M. O'Connell

We present a uniform construct of parallel programming for a set of image processing tasks based on our distributed computing primitive (DCP) concept. Our target architecture is a heterogeneous computing network system consisting of various high performance workstations connected through a local area network. We show that DCP has advantages over non-primitive PVM-based parallel approaches in three aspects: ease-of-use, automation, and optimization

Published in:

Image Processing, 1996. Proceedings., International Conference on  (Volume:1 )

Date of Conference:

16-19 Sep 1996