Publication:

Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration

Date

2022-09
Journal article
https://doi.org/10.1145/3498328
Simple item page Full metadata Statistics
 
dc.contributor.authorLaubeuf, Nathan
dc.contributor.authorDoevenspeck, Jonas
dc.contributor.authorPapistas, Ioannis
dc.contributor.authorCaselli, Michele
dc.contributor.authorCosemans, Stefan
dc.contributor.authorVrancx, Peter
dc.contributor.authorBhattacharjee, Debjyoti
dc.contributor.authorMallik, Arindam
dc.contributor.authorDebacker, Peter
dc.contributor.authorVerkest, Diederik
dc.contributor.authorCatthoor, Francky
dc.contributor.authorLauwereins, Rudy
dc.contributor.imecauthorLaubeuf, Nathan
dc.contributor.imecauthorDoevenspeck, Jonas
dc.contributor.imecauthorPapistas, Ioannis
dc.contributor.imecauthorCaselli, Michele
dc.contributor.imecauthorCosemans, Stefan
dc.contributor.imecauthorVrancx, Peter
dc.contributor.imecauthorBhattacharjee, Debjyoti
dc.contributor.imecauthorMallik, Arindam
dc.contributor.imecauthorDebacker, Peter
dc.contributor.imecauthorVerkest, Diederik
dc.contributor.imecauthorCatthoor, Francky
dc.contributor.imecauthorLauwereins, Rudy
dc.contributor.orcidextCaselli, Michele::0000-0003-3807-8033
dc.contributor.orcidextPapistas, Ioannis::0000-0002-1771-7011
dc.contributor.orcidimecLaubeuf, Nathan::0000-0002-1592-755X
dc.contributor.orcidimecVrancx, Peter::0000-0002-9876-3684
dc.contributor.orcidimecMallik, Arindam::0000-0002-0742-9366
dc.contributor.orcidimecDebacker, Peter::0000-0003-3825-5554
dc.contributor.orcidimecVerkest, Diederik::0000-0001-6567-2746
dc.contributor.orcidimecCatthoor, Francky::0000-0002-3599-8515
dc.contributor.orcidimecLauwereins, Rudy::0000-0002-3861-0168
dc.contributor.orcidimecBhattacharjee, Debjyoti::0000-0001-6561-8934
dc.date.accessioned2023-02-02T16:15:27Z
dc.date.available2022-10-14T02:52:33Z
dc.date.available2022-10-19T14:52:11Z
dc.date.available2023-02-02T16:15:27Z
dc.date.issued2022-09
dc.description.wosFundingTextThis research received funding from the Flemish Government (AI Research Program) and KU Leuven grant C14/18/100.
dc.identifier.doi10.1145/3498328
dc.identifier.issn1084-4309
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40558
dc.publisherASSOC COMPUTING MACHINERY
dc.source.beginpageArt. 46
dc.source.endpagena
dc.source.issue5
dc.source.journalACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS
dc.source.numberofpages21
dc.source.volume27
dc.subject.disciplineElectrical & electronic engineering
dc.subject.keywordsDeep neural networks
dc.subject.keywordsIn-memory computing
dc.title

Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration

dc.typeJournal article
dspace.entity.typePublication
Files
Publication available in collections:
Articles