Publication:

A GPU optimization workflow for real-time execution of ultra-high frame rate computer vision applications

Date

2024
Journal article
https://doi.org/10.1007/s11554-023-01384-7
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dc.contributor.authorNourazar, Mohsen
dc.contributor.authorBooth, Brian
dc.contributor.authorGoossens, Bart
dc.contributor.imecauthorNourazar, Mohsen
dc.contributor.imecauthorBooth, Brian
dc.contributor.imecauthorGoossens, Bart
dc.contributor.orcidimecNourazar, Mohsen::0000-0001-9733-0476
dc.contributor.orcidimecBooth, Brian::0000-0001-9228-4810
dc.contributor.orcidimecGoossens, Bart::0000-0002-1666-5483
dc.date.accessioned2024-05-28T07:29:08Z
dc.date.available2023-12-14T17:35:38Z
dc.date.available2024-05-28T07:29:08Z
dc.date.embargo2024-05-26
dc.date.issued2024
dc.description.wosFundingTextThis work is financially supported by the VLAIO ICON project'Vision in the Loop'(HBC.2019.2808), a collaboration between imec, Flanders Make, Materialise, Dekimo, ESMA and AdditiveLab. The RTX A6000 GPU used for this research was donated by the NVIDIA Corporation.
dc.identifier.doi10.1007/s11554-023-01384-7
dc.identifier.issn1861-8200
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43247
dc.publisherSPRINGER HEIDELBERG
dc.source.beginpageArt. 5
dc.source.endpageN/A
dc.source.issueN/A
dc.source.journalJOURNAL OF REAL-TIME IMAGE PROCESSING
dc.source.numberofpages13
dc.source.volume21
dc.subject.keywordsLANGUAGE
dc.subject.keywordsCOMPILER
dc.title

A GPU optimization workflow for real-time execution of ultra-high frame rate computer vision applications

dc.typeJournal article
dspace.entity.typePublication
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