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Article: Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion

TitleOptimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion
Authors
YI, XZHANG, SDiao, LWu, CZheng, ZFan, SWang, SYang, JLin, W
Issue Date2022
Citation
IEEE Transactions on Parallel and Distributed Systems, 2022, v. 33, p. 4694-4706 How to Cite?
DOI: http://dx.doi.org/10.1109/TPDS.2022.3201531
Persistent Identifierhttp://hdl.handle.net/10722/317619
ISI Accession Number ID
WOS:000853835300001

 

DC FieldValueLanguage
dc.contributor.authorYI, X-
dc.contributor.authorZHANG, S-
dc.contributor.authorDiao, L-
dc.contributor.authorWu, C-
dc.contributor.authorZheng, Z-
dc.contributor.authorFan, S-
dc.contributor.authorWang, S-
dc.contributor.authorYang, J-
dc.contributor.authorLin, W-
dc.date.accessioned2022-10-07T10:23:51Z-
dc.date.available2022-10-07T10:23:51Z-
dc.date.issued2022-
dc.identifier.citationIEEE Transactions on Parallel and Distributed Systems, 2022, v. 33, p. 4694-4706-
dc.identifier.urihttp://hdl.handle.net/10722/317619-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Parallel and Distributed Systems-
dc.titleOptimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion-
dc.typeArticle-
dc.identifier.emailWu, C: cwu@cs.hku.hk-
dc.identifier.authorityWu, C=rp01397-
dc.identifier.doi10.1109/TPDS.2022.3201531-
dc.identifier.hkuros337812-
dc.identifier.volume33-
dc.identifier.spage4694-
dc.identifier.epage4706-
dc.identifier.isiWOS:000853835300001-

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