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Conference Paper: A novel tensor-based model compression method via Tucker and tensor train decompositions

TitleA novel tensor-based model compression method via Tucker and tensor train decompositions
Authors
Chen, CBatselier, KWong, N
Keywordsmodel order reduction
nonlinear circuit simulation
tensor
Issue Date2017
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000236
Citation
2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), San Jose, CA, USA, 15-18 October 2017 How to Cite?
DOI: http://dx.doi.org/10.1109/EPEPS.2017.8329724
AbstractWe develop a novel tensor-based Tucker-Tensor-Train-Model-Compression (T3MC) scheme for speeding up nonlinear circuit simulation. Experiment shows that T3MC achieves high efficiency with significantly higher accuracy than state-of-the-art nonlinear model order reduction (MOR) methods.
Persistent Identifierhttp://hdl.handle.net/10722/261960
ISSN
2165-4115

 

DC FieldValueLanguage
dc.contributor.authorChen, C-
dc.contributor.authorBatselier, K-
dc.contributor.authorWong, N-
dc.date.accessioned2018-09-28T04:51:00Z-
dc.date.available2018-09-28T04:51:00Z-
dc.date.issued2017-
dc.identifier.citation2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), San Jose, CA, USA, 15-18 October 2017-
dc.identifier.issn2165-4115-
dc.identifier.urihttp://hdl.handle.net/10722/261960-
dc.description.abstractWe develop a novel tensor-based Tucker-Tensor-Train-Model-Compression (T3MC) scheme for speeding up nonlinear circuit simulation. Experiment shows that T3MC achieves high efficiency with significantly higher accuracy than state-of-the-art nonlinear model order reduction (MOR) methods.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000236-
dc.relation.ispartofConference on Electrical Performance of Electronic Packaging and Systems (EPEPS) proceedings-
dc.rightsConference on Electrical Performance of Electronic Packaging and Systems (EPEPS) proceedings. Copyright © IEEE.-
dc.rights©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectmodel order reduction-
dc.subjectnonlinear circuit simulation-
dc.subjecttensor-
dc.titleA novel tensor-based model compression method via Tucker and tensor train decompositions-
dc.typeConference_Paper-
dc.identifier.emailBatselier, K: kbatseli@HKUCC-COM.hku.hk-
dc.identifier.emailWong, N: nwong@eee.hku.hk-
dc.identifier.authorityWong, N=rp00190-
dc.identifier.doi10.1109/EPEPS.2017.8329724-
dc.identifier.scopuseid_2-s2.0-85049677354-
dc.identifier.hkuros292473-
dc.publisher.placeUnited States-
dc.identifier.issnl2165-4107-

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