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dc.contributor.authorLiu, Qixiao
dc.contributor.authorMoreto Planas, Miquel
dc.contributor.authorAbella Ferrer, Jaume
dc.contributor.authorCazorla Almeida, Francisco Javier
dc.contributor.authorValero Cortés, Mateo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.identifier.citationLiu, Q. [et al.]. DReAM: Per-task DRAM energy metering in multicore systems. A: International Conference on Parallel and Distributed Computing. "Euro-Par 2014: Parallel Processing 20th International Conference: Porto, Portugal, August 25-29, 2014: proceedings". Porto: Springer, 2014, p. 111-123.
dc.description.abstractInteraction across applications in DRAM memory impacts its energy consumption. This paper makes the case for accurate per-task DRAM energy metering in multicores, which opens new paths to energy/performance optimizations, such as per-task energy-aware task scheduling and energy-aware billing in datacenters. In particular, the contributions of this paper are (i) an ideal per-task energy metering model for DRAM memories; (ii) DReAM, an accurate, yet low cost, implementation of the ideal model (less than 5% accuracy error when 16 tasks share memory); and (iii) a comparison with standard methods (even distribution and access-count based) proving that DReAM is more accurate than these other methods.
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Science and Innovation under grant TIN2012-34557, the HiPEAC Network of Excellence, by the European Research Council under the European Union’s 7th FP, ERC Grant Agreement n. 321253, and by a joint study agreement between IBM and BSC (number W1361154). Qixiao Liu has also been funded by the Chinese Scholarship Council under grant 2010608015.
dc.format.extent13 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.otherDRAM chips
dc.subject.otherEnergy consumption
dc.subject.otherMultiprocessing systems
dc.subject.otherPower aware computing
dc.titleDReAM: Per-task DRAM energy metering in multicore systems
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/321253/EU/Riding on Moore's Law/ROMOL
upcommons.citation.authorLiu, Q.; Moretó, M.; Abella, J.; Cazorla, F.; Valero, M.
upcommons.citation.contributorInternational Conference on Parallel and Distributed Computing
upcommons.citation.publicationNameEuro-Par 2014: Parallel Processing 20th International Conference: Porto, Portugal, August 25-29, 2014: proceedings

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