A data and task parallel image processing environment

C Nicolescu, PP Jonker

    Research output: Contribution to journalArticleScientificpeer-review

    36 Citations (Scopus)

    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
    Original languageUndefined/Unknown
    Pages (from-to)945-965
    Number of pages21
    JournalParallel Computing
    Volume28
    Issue number7-8
    Publication statusPublished - 2002

    Keywords

    • academic journal papers
    • ZX CWTS JFIS < 1.00

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