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dc.contributor.authorDalibard, V
dc.contributor.authorSchaarschmidt, M
dc.contributor.authorYoneki, E
dc.date.accessioned2018-11-10T00:30:23Z
dc.date.available2018-11-10T00:30:23Z
dc.date.issued2017
dc.identifier.isbn9781450349130
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/284899
dc.description.abstractDue to their complexity, modern systems expose many con-figuration parameters which users must tune to maximizeperformance. Auto-tuning has emerged as an alternative inwhich a black-box optimizer iteratively evaluates configura-tions to find efficient ones. Unfortunately, for many systems,such as distributed systems, evaluating performance takestoo long and the space of configurations is too large for theoptimizer to converge within a reasonable time
dc.publisherInternational World Wide Web Conferences Steering Committee
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleBOAT: Building auto-tuners with structured Bayesian optimization
dc.typeConference Object
prism.endingPage488
prism.publicationDate2017
prism.publicationName26th International World Wide Web Conference, WWW 2017
prism.startingPage479
dc.identifier.doi10.17863/CAM.32269
dcterms.dateAccepted2016-12-19
rioxxterms.versionofrecord10.1145/3038912.3052662
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-01-01
dc.contributor.orcidYoneki, Eiko [0000-0002-5552-4536]
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/P004024/1)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/M508007/1)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/H003959/1)
cam.issuedOnline2017-04-03
pubs.conference-nameWWW '17: 26th International World Wide Web Conference
pubs.conference-start-date2017-04-03
pubs.conference-finish-date2017-04-07


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International