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dc.contributor.authorAmarasinghe, Saman
dc.date.accessioned2022-11-09T17:31:19Z
dc.date.available2022-11-09T17:31:19Z
dc.date.issued2020-06-16
dc.identifier.isbn978-1-4503-7094-3
dc.identifier.urihttps://hdl.handle.net/1721.1/146243
dc.publisherACM|Proceedings of the 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3372799.3397167en_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.sourceACM|Proceedings of the 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systemsen_US
dc.titleCompiler 2.0: Using Machine Learning to Modernize Compiler Technologyen_US
dc.typeArticleen_US
dc.identifier.citationAmarasinghe, Saman. 2020. "Compiler 2.0: Using Machine Learning to Modernize Compiler Technology."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
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.updated2022-11-02T20:32:07Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-02T20:32:07Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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