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A predictive model for dynamic microarchitectural adaptivity control

Dubach, Christophe; Jones, Timonthy; Bonilla, Edwin; O'Boyle, Michael

Description

Adaptive microarchitectures are a promising solution for designing high-performance, power-efficient microprocessors. They offer the ability to tailor computational resources to the specific requirements of different programs or program phases. They have

dc.contributor.authorDubach, Christophe
dc.contributor.authorJones, Timonthy
dc.contributor.authorBonilla, Edwin
dc.contributor.authorO'Boyle, Michael
dc.coverage.spatialAtlanta USA
dc.date.accessioned2015-12-07T22:48:17Z
dc.date.createdDecember 4-8 2010
dc.identifier.isbn9780769542997
dc.identifier.urihttp://hdl.handle.net/1885/26424
dc.description.abstractAdaptive microarchitectures are a promising solution for designing high-performance, power-efficient microprocessors. They offer the ability to tailor computational resources to the specific requirements of different programs or program phases. They have
dc.publisherIEEE Computer Society
dc.relation.ispartofseriesAnnual IEEE/ACM International Conference on Microarchitecture 2010
dc.subjectKeywords: Adaptive microarchitectures; Adaptivity; Architecture configuration; Benchmark suites; Computational resources; Control mechanism; Hardware cost; Micro architectures; Power efficient; Predictive models; Program phasis; Runtimes; Behavioral research; Predi
dc.titleA predictive model for dynamic microarchitectural adaptivity control
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2010
local.identifier.absfor080304 - Concurrent Programming
local.identifier.ariespublicationu4963866xPUB44
local.type.statusPublished Version
local.contributor.affiliationDubach, Christophe, University of Edinburgh
local.contributor.affiliationJones, Timonthy, University of Edinburgh
local.contributor.affiliationBonilla, Edwin, College of Engineering and Computer Science, ANU
local.contributor.affiliationO'Boyle, Michael, University of Edinburgh
local.description.embargo2037-12-31
local.bibliographicCitation.startpage12
local.identifier.doi10.1109/MICRO.2010.14
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2016-02-24T11:30:47Z
local.identifier.scopusID2-s2.0-79951697270
CollectionsANU Research Publications

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