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dc.contributor.authorGunny, Alec
dc.contributor.authorRankin, Dylan
dc.contributor.authorHarris, Philip
dc.contributor.authorKatsavounidis, Erik
dc.contributor.authorMarx, Ethan
dc.contributor.authorSaleem, Muhammed
dc.contributor.authorCoughlin, Michael
dc.contributor.authorBenoit, William
dc.date.accessioned2022-11-14T18:16:33Z
dc.date.available2022-11-14T18:16:33Z
dc.date.issued2022-07-01
dc.identifier.isbn978-1-4503-9309-6
dc.identifier.urihttps://hdl.handle.net/1721.1/146391
dc.publisherACM|Proceedings of the 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructuresen_US
dc.relation.isversionofhttps://doi.org/10.1145/3526058.3535454en_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 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructuresen_US
dc.titleA Software Ecosystem for Deploying Deep Learning in Gravitational Wave Physicsen_US
dc.typeArticleen_US
dc.identifier.citationGunny, Alec, Rankin, Dylan, Harris, Philip, Katsavounidis, Erik, Marx, Ethan et al. 2022. "A Software Ecosystem for Deploying Deep Learning in Gravitational Wave Physics."
dc.contributor.departmentLIGO (Observatory : Massachusetts Institute of Technology)
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
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.updated2022-11-02T22:30:38Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-02T22:30:38Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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