A data and task parallel image processing environment

Journal article (2002)

Authors

C Nicolescu ImPhys/Quantitative Imaging
P.P. Jonker ImPhys/Quantitative Imaging
Research Group
ImPhys/Quantitative Imaging
More Info
expand_more

Published Date

2002

Language

Undefined/Unknown

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Research Group

ImPhys/Quantitative Imaging

Abstract

The paper presents a data and task parallel low-level image processing environment for distributed memory systems. Image processing operators are parallelized by data decomposition using algorithmic skeletons. Image processing applications are parallelized by task decomposition, based on the image application task graph. In this way, an image processing application can be parallelized both by data and task decomposition, and thus better speed-ups can be obtained. We validate our method on the multi-baseline stereo vision application.
Keywords: Data parallelism; Task parallelism; Skeletons; Image processing