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A design tool for high performance image processing on multicore platforms

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationProceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018
PublisherIEEE
Pages1304-1309
Number of pages6
ISBN (Electronic)9783981926316
DOIs
Publication statusPublished - 19 Apr 2018
Publication typeA4 Article in a conference publication
EventDESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE & EXHIBITION -
Duration: 1 Jan 1900 → …

Conference

ConferenceDESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE & EXHIBITION
Period1/01/00 → …

Abstract

Design and implementation of smart vision systems often involve the mapping of complex image processing algorithms into efficient, real-time implementations on multicore platforms. In this paper, we describe a novel design tool that is developed to address this important challenge. A key component of the tool is a new approach to hierarchical dataflow scheduling that integrates a global scheduler and multiple local schedulers. The local schedulers are lightweight modules that work independently. The global scheduler interacts with the local schedulers to optimize overall memory usage and execution time. The proposed design tool is demonstrated through a case study involving an image stitching application for large scale microscopy images.