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dc.contributor.authorRoy, Rohan Basu
dc.contributor.authorPatel, Tirthak
dc.contributor.authorGadepally, Vijay
dc.contributor.authorTiwari, Devesh
dc.date.accessioned2022-10-27T17:23:21Z
dc.date.available2022-10-27T17:23:21Z
dc.date.issued2021-06-20
dc.identifier.isbn978-1-4503-8391-2
dc.identifier.urihttps://hdl.handle.net/1721.1/146029
dc.publisherACM|Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementationen_US
dc.relation.isversionofhttps://doi.org/10.1145/3453483.3454109en_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 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementationen_US
dc.titleBLISS: Auto-tuning Complex Applications Using A Pool of Diverse Lightweight Learning Modelsen_US
dc.typeArticleen_US
dc.identifier.citationRoy, Rohan Basu, Patel, Tirthak, Gadepally, Vijay and Tiwari, Devesh. 2021. "BLISS: Auto-tuning Complex Applications Using A Pool of Diverse Lightweight Learning Models."
dc.contributor.departmentLincoln 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.updated2022-10-24T19:24:30Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-10-24T19:24:31Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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