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dc.contributor.authorKao, Sheng-Chun
dc.contributor.authorSubramanian, Suvinay
dc.contributor.authorAgrawal, Gaurav
dc.contributor.authorYazdanbakhsh, Amir
dc.contributor.authorKrishna, Tushar
dc.date.accessioned2023-02-01T15:40:52Z
dc.date.available2023-02-01T15:40:52Z
dc.date.issued2023-01-27
dc.identifier.isbn978-1-4503-9916-6
dc.identifier.urihttps://hdl.handle.net/1721.1/147827
dc.publisherACM|Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2en_US
dc.relation.isversionofhttps://doi.org/10.1145/3575693.3575747en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2en_US
dc.titleFLAT: An Optimized Dataflow for Mitigating Attention Bottlenecksen_US
dc.typeArticleen_US
dc.identifier.citationKao, Sheng-Chun, Subramanian, Suvinay, Agrawal, Gaurav, Yazdanbakhsh, Amir and Krishna, Tushar. 2023. "FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks."
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.identifier.mitlicensePUBLISHER_CC
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.updated2023-02-01T08:46:36Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-02-01T08:46:37Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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