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dc.contributor.authorJha, Sudhanshu Shekhar
dc.contributor.authorHeirman, Wim
dc.contributor.authorFalcón Samper, Ayose Jesus
dc.contributor.authorCarlson, Trevor E.
dc.contributor.authorVan Craeynest, Kenzo
dc.contributor.authorTubella Murgadas, Jordi
dc.contributor.authorGonzález Colás, Antonio María
dc.contributor.authorEeckhout, Lieven
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2016-09-23T11:21:57Z
dc.date.available2016-09-23T11:21:57Z
dc.date.issued2015
dc.identifier.citationJha, S., Heirman, W., Falcón, A., Carlson, T., Van Craeynest, K., Tubella, J., González, A., Eeckhout, Lieven. Chrysso: an integrated power manager for constrained many-core processors. A: ACM International Conference on Computing Frontiers. "Proceedings of the 12th ACM International Conference on Computing Frontiers, CF 2015". Ischia: Association for Computing Machinery (ACM), 2015.
dc.identifier.isbn9781450333580
dc.identifier.urihttp://hdl.handle.net/2117/90164
dc.description.abstractModern microprocessors are increasingly power-constrained as a result of slowed supply voltage scaling (end of Dennard scaling) in conjunction with the transistor density scaling (Moore's Law). Existing many-core power management techniques such as chip-wide/per-core DVFS, and core and cache adaptation are quite effective in isolation at moderate to high power budgets. However, for future many-core chip, the existing techniques do not scale well to large core counts, small time slices and stringent power budgets. We need a new solution that combines different adaptation and reconfiguration techniques. In this paper, we present Chrysso, an integrated, scalable and low-overhead power management framework. Chrysso consists of a three-step process: leveraging simple analytical performance and power models, pruning the search space early using local Pareto front generation, followed by global utility-based power allocation. This ensures scalable and effective dynamic adaptation of many-core processors at short time scales along multiple axes, including core, cache and per-core DVFS adaptations. By integrating multiple power management techniques into a common methodology, Chrysso provides significant performance improvements over isolated mechanisms within a given power budget without power-gating cores. On a 64-core system, Chrysso improves system throughput by 1.6× and 1.9× over core-gating at stringent power envelops for multi-program (SPEC) and multi-threaded (PARSEC) workloads, respectively.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshMicroprocessors
dc.subject.otherAnalytical models
dc.subject.otherBudget control
dc.subject.otherEnergy management
dc.subject.otherIndustrial management
dc.subject.otherPower management
dc.subject.otherReconfigurable hardware
dc.subject.otherSpeed control
dc.subject.otherVoltage scaling
dc.subject.otherAnalytical performance
dc.subject.otherManagement frameworks
dc.subject.otherMany-core processors
dc.subject.otherMicro architectures
dc.subject.otherModern microprocessor
dc.subject.otherPower management techniques
dc.subject.otherSupply-voltage scaling
dc.subject.otherThree-step process
dc.titleChrysso: an integrated power manager for constrained many-core processors
dc.typeConference report
dc.subject.lemacMicroprocessadors
dc.contributor.groupUniversitat Politècnica de Catalunya. ARCO - Microarquitectura i Compiladors
dc.identifier.doi10.1145/2742854.2742885
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://dl.acm.org/citation.cfm?doid=2742854.2742885
dc.rights.accessOpen Access
local.identifier.drac18770168
dc.description.versionPostprint (author's final draft)
local.citation.authorJha, S.; Heirman, W.; Falcón, A.; Carlson, T.; Van Craeynest, K.; Tubella, J.; González, A.; Eeckhout, Lieven
local.citation.contributorACM International Conference on Computing Frontiers
local.citation.pubplaceIschia
local.citation.publicationNameProceedings of the 12th ACM International Conference on Computing Frontiers, CF 2015
local.citation.startingPageArticle No. 19


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