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Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition

dc.contributor.authorFu, Cheng
dc.contributor.authorHuang, Hanxian
dc.contributor.authorWasti, Bram
dc.contributor.authorCummins, Chris
dc.contributor.authorBaghdadi, Riyadh
dc.contributor.authorHazelwood, Kim
dc.contributor.authorTian, Yuandong
dc.contributor.authorZhao, Jishen
dc.contributor.authorLeather, Hugh
dc.date.accessioned2023-02-01T15:24:28Z
dc.date.available2023-02-01T15:24:28Z
dc.date.issued2022-10-08
dc.identifier.isbn978-1-4503-9868-8
dc.identifier.urihttps://hdl.handle.net/1721.1/147822
dc.publisherACM|International Conference on Parallel Architectures and Compilation Techniquesen_US
dc.relation.isversionofhttps://doi.org/10.1145/3559009.3569673en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|International Conference on Parallel Architectures and Compilation Techniquesen_US
dc.titleQ-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetitionen_US
dc.typeArticleen_US
dc.identifier.citationFu, Cheng, Huang, Hanxian, Wasti, Bram, Cummins, Chris, Baghdadi, Riyadh et al. 2022. "Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition."
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.updated2023-02-01T08:45:10Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-02-01T08:45:11Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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