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Proceedings Paper

Framework to parallelize an image processing library on a distributed-memory system
Author(s): Cristina Nicolescu; Pieter P. Jonker
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Paper Abstract

This paper presents a framework to add data and task parallelism to a sequential image processing library. The library contains 3 modules, one for low-level operators, the second for intermediate-level operators and the third for high-level operators. We parallelize the low-level operators by data decomposition and we are working at adding task parallelism at the image processing application level. We validate our data parallel approach by testing it with the geometric mean filter and the multibaseline stereo vision algorithm. Experiments on a cluster of workstations show very good speedup.

Paper Details

Date Published: 9 October 2000
PDF: 8 pages
Proc. SPIE 4118, Parallel and Distributed Methods for Image Processing IV, (9 October 2000); doi: 10.1117/12.403599
Show Author Affiliations
Cristina Nicolescu, Delft Univ. of Technology (Netherlands)
Pieter P. Jonker, Delft Univ. of Technology (Netherlands)


Published in SPIE Proceedings Vol. 4118:
Parallel and Distributed Methods for Image Processing IV
Hongchi Shi; Patrick C. Coffield; Divyendu Sinha, Editor(s)

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