Publication:

A Pipelining-Based Heterogeneous Scheduling and Energy-Throughput Optimization Scheme for CNNs Leveraging Apache TVM

Date

2023
Journal article
https://doi.org/10.1109/ACCESS.2023.3264828
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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0003-4456-4353
cris.virtual.orcid0000-0002-1666-5483
cris.virtualsource.departmentf9bc1a0b-4f60-44f9-919f-86e3d0a0b43c
cris.virtualsource.departmentca80dd44-0864-4cd3-a701-870434fb124c
cris.virtualsource.orcidf9bc1a0b-4f60-44f9-919f-86e3d0a0b43c
cris.virtualsource.orcidca80dd44-0864-4cd3-a701-870434fb124c
dc.contributor.authorVelasco-Montero, Delia
dc.contributor.authorGoossens, Bart
dc.contributor.authorFernandez-Berni, Jorge
dc.contributor.authorRodriguez-Vazquez, Angel
dc.contributor.authorPhilips, Wilfried
dc.contributor.imecauthorGoossens, Bart
dc.contributor.imecauthorPhilips, Wilfried
dc.contributor.orcidimecGoossens, Bart::0000-0002-1666-5483
dc.contributor.orcidimecPhilips, Wilfried::0000-0003-4456-4353
dc.date.accessioned2023-08-01T13:10:21Z
dc.date.available2023-05-22T20:15:46Z
dc.date.available2023-08-01T13:10:21Z
dc.date.embargo2023-04-12
dc.date.issued2023
dc.description.wosFundingTextThis work was supported in part by the Flemish Government (Belgium) through AI Research Program by Project SEMIoTICS under Grant PID2021-128009OB-C31; in part by MCIN/AEI/10.13039/501100011033 and EU "ERDF: A Way of Making Europe," through Project ULTIMATE under Grant TED2021-131835B-I00; in part by MCIN/AEI/10.13039/501100011033 through the European Union NextGenerationEU/PRTR, by the U.S. Office of Naval Research under Grant N00014-19-1-2156; and in part by the European Commission and Junta de Andalucia through Erasmus+ Traineeship Program.
dc.identifier.doi10.1109/ACCESS.2023.3264828
dc.identifier.issn2169-3536
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41610
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage35007
dc.source.endpage35021
dc.source.issue/
dc.source.journalIEEE ACCESS
dc.source.numberofpages15
dc.source.volume11
dc.subject.keywordsDEEP NEURAL-NETWORKS
dc.subject.keywordsMOBILE
dc.subject.keywordsINFERENCE
dc.subject.keywordsINTERNET
dc.title

A Pipelining-Based Heterogeneous Scheduling and Energy-Throughput Optimization Scheme for CNNs Leveraging Apache TVM

dc.typeJournal article
dspace.entity.typePublication
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