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dc.contributor.authorWon, Jaeyeon
dc.contributor.authorMendis, Charith
dc.contributor.authorEmer, Joel
dc.contributor.authorAmarasinghe, Saman
dc.date.accessioned2023-02-01T15:36:58Z
dc.date.available2023-02-01T15:36:58Z
dc.date.issued2023-01-27
dc.identifier.isbn978-1-4503-9916-6
dc.identifier.urihttps://hdl.handle.net/1721.1/147826
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/10.1145/3575693.3575742en_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.titleWACO: Learning Workload-Aware Co-optimization of the Format and Schedule of a Sparse Tensor Programen_US
dc.typeArticleen_US
dc.identifier.citationWon, Jaeyeon, Mendis, Charith, Emer, Joel and Amarasinghe, Saman. 2023. "WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of a Sparse Tensor Program."
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.updated2023-02-01T08:46:19Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-02-01T08:46:19Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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