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dc.contributor.authorShi, Jessica
dc.contributor.authorDhulipala, Laxman
dc.contributor.authorShun, Julian
dc.date.accessioned2023-09-15T16:14:37Z
dc.date.available2023-09-15T16:14:37Z
dc.date.issued2023-07-18
dc.identifier.isbn979-8-4007-0218-1
dc.identifier.urihttps://hdl.handle.net/1721.1/152171
dc.publisherACM|Proceedings of the 2023 ACM Workshop on Highlights of Parallel Computingen_US
dc.relation.isversionofhttps://doi.org/10.1145/3597635.3598024en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleTheoretically and Practically Efficient Parallel Nucleus Decomposition (Abstract)en_US
dc.typeArticleen_US
dc.identifier.citationShi, Jessica, Dhulipala, Laxman and Shun, Julian. 2023. "Theoretically and Practically Efficient Parallel Nucleus Decomposition (Abstract)."
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_POLICY
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.updated2023-08-01T07:56:57Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-08-01T07:56:59Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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