dc.contributor.author | Dadras, Iman | |
dc.contributor.author | Sarda, Giuseppe | |
dc.contributor.author | Laubeuf, Nathan | |
dc.contributor.author | Bhattacharjee, Debjyoti | |
dc.contributor.author | Mallik, Arindam | |
dc.date.accessioned | 2023-12-13T08:08:24Z | |
dc.date.available | 2023-09-03T17:38:46Z | |
dc.date.available | 2023-12-13T08:08:24Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 2169-3536 | |
dc.identifier.other | WOS:001053801300001 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/42447.3 | |
dc.source | WOS | |
dc.title | AIMC Modeling and Parameter Tuning for Layer-Wise Optimal Operating Point in DNN Inference | |
dc.type | Journal article | |
dc.contributor.imecauthor | Dadras, Iman | |
dc.contributor.imecauthor | Laubeuf, Nathan | |
dc.contributor.imecauthor | Bhattacharjee, Debjyoti | |
dc.contributor.imecauthor | Mallik, Arindam | |
dc.contributor.imecauthor | Sarda, Giuseppe | |
dc.contributor.orcidimec | Laubeuf, Nathan::0000-0002-1592-755X | |
dc.contributor.orcidimec | Mallik, Arindam::0000-0002-0742-9366 | |
dc.contributor.orcidimec | Bhattacharjee, Debjyoti::0000-0001-6561-8934 | |
dc.contributor.orcidimec | Sarda, Giuseppe::0000-0001-6231-3553 | |
dc.date.embargo | 2023-08-15 | |
dc.identifier.doi | 10.1109/ACCESS.2023.3305432 | |
dc.source.numberofpages | 11 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 87189 | |
dc.source.endpage | 87199 | |
dc.source.journal | IEEE ACCESS | |
dc.source.issue | na | |
dc.source.volume | 11 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This work was supported in part by the European Research Council (ERC) under Grant 101088865; in part by the European Union's Horizon 2020 Research and Innovation Program under Grant 857263 and Grant 101070374; in part by the Flanders AI Research Program, Katholieke Universiteit (KU) Leuven, Estonian Research Council, under Grant 1084; and in part by the Estonian Centre of Excellence in ICT Research and Doctoral School of the European Institute of Innovation and Technology (EIT) Manufacturing, funded by the European Union (EU). | |