Architectural requirements for energy efficient execution of graph analytics applications

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dc.citation.epage681en_US
dc.citation.spage676en_US
dc.contributor.authorÖzdal, Muhammet Mustafaen_US
dc.contributor.authorYeşil, Şerifen_US
dc.contributor.authorKim, T.en_US
dc.contributor.authorAyupov, A.en_US
dc.contributor.authorBurns, S.en_US
dc.contributor.authorÖztürk, Özcanen_US
dc.coverage.spatialAustin, TX, USA
dc.date.accessioned2018-04-12T11:49:33Z
dc.date.available2018-04-12T11:49:33Z
dc.date.issued2015-11en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 2-6 Nov. 2015
dc.descriptionConference name: IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2015
dc.description.abstractIntelligent data analysis has become more important in the last decade especially because of the significant increase in the size and availability of data. In this paper, we focus on the common execution models and characteristics of iterative graph analytics applications. We show that the features that improve work efficiency can lead to significant overheads on existing systems. We identify the opportunities for custom hardware implementation, and outline the desired architectural features for energy efficient computation of graph analytics applications. © 2015 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:49:33Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016en
dc.identifier.doi10.1109/ICCAD.2015.7372635en_US
dc.identifier.urihttp://hdl.handle.net/11693/37735en_US
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICCAD.2015.7372635en_US
dc.source.titleIEEE/ACM International Conference on Computer-Aided Design, ICCAD 2015en_US
dc.subjectThroughput
dc.subjectHardware
dc.subjectConvergence
dc.subjectMeasurement
dc.subjectBenchmark testing
dc.subjectColor
dc.subjectComputational modeling
dc.subjectData analysis
dc.subjectGraph theory
dc.titleArchitectural requirements for energy efficient execution of graph analytics applicationsen_US
dc.typeConference Paperen_US

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