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dc.contributor.authorZhong, Zhizhen
dc.contributor.authorWang, Weiyang
dc.contributor.authorGhobadi, Manya
dc.contributor.authorSludds, Alexander
dc.contributor.authorHamerly, Ryan
dc.contributor.authorBernstein, Liane
dc.contributor.authorEnglund, Dirk
dc.date.accessioned2022-06-28T13:23:25Z
dc.date.available2022-06-28T13:23:25Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143570
dc.language.isoen
dc.publisherACMen_US
dc.relation.isversionof10.1145/3473938.3474508en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACMen_US
dc.titleIOI: In-network Optical Inferenceen_US
dc.typeArticleen_US
dc.identifier.citationZhong, Zhizhen, Wang, Weiyang, Ghobadi, Manya, Sludds, Alexander, Hamerly, Ryan et al. 2021. "IOI: In-network Optical Inference." Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronics
dc.relation.journalProceedings of the ACM SIGCOMM 2021 Workshop on Optical Systemsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-06-28T12:31:48Z
dspace.orderedauthorsZhong, Z; Wang, W; Ghobadi, M; Sludds, A; Hamerly, R; Bernstein, L; Englund, Den_US
dspace.date.submission2022-06-28T12:31:49Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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