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SiP-ML: high-bandwidth optical network interconnects for machine learning training

dc.contributor.authorKhani, Mehrdad
dc.contributor.authorGhobadi, Manya
dc.contributor.authorAlizadeh, Mohammad
dc.contributor.authorZhu, Ziyi
dc.contributor.authorGlick, Madeleine
dc.contributor.authorBergman, Keren
dc.contributor.authorVahdat, Amin
dc.contributor.authorKlenk, Benjamin
dc.contributor.authorEbrahimi, Eiman
dc.date.accessioned2022-05-25T16:04:03Z
dc.date.available2022-05-25T16:04:03Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/142722
dc.language.isoen
dc.publisherACMen_US
dc.relation.isversionof10.1145/3452296.3472900en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.sourceACMen_US
dc.titleSiP-ML: high-bandwidth optical network interconnects for machine learning trainingen_US
dc.typeArticleen_US
dc.identifier.citationKhani, Mehrdad, Ghobadi, Manya, Alizadeh, Mohammad, Zhu, Ziyi, Glick, Madeleine et al. 2021. "SiP-ML: high-bandwidth optical network interconnects for machine learning training." Proceedings of the 2021 ACM SIGCOMM 2021 Conference.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalProceedings of the 2021 ACM SIGCOMM 2021 Conferenceen_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.updated2022-05-25T16:00:24Z
dspace.orderedauthorsKhani, M; Ghobadi, M; Alizadeh, M; Zhu, Z; Glick, M; Bergman, K; Vahdat, A; Klenk, B; Ebrahimi, Een_US
dspace.date.submission2022-05-25T16:00:27Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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