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dc.contributor.authorFuentes Sepúlveda, José
dc.contributor.authorLadra, Susana
dc.date.accessioned2019-12-05T16:12:20Z
dc.date.available2019-12-05T16:12:20Z
dc.date.issued2019-10-25
dc.identifier.citationJ. Fuentes-Sepúlveda and S. Ladra, "Energy Consumption in Compact Integer Vectors: A Study Case," in IEEE Access, vol. 7, pp. 155625-155636, 2019. doi: 10.1109/ACCESS.2019.2949655es_ES
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/2183/24442
dc.description.abstract[Abstract] In the field of algorithms and data structures analysis and design, most of the researchers focus only on the space/time trade-off, and little attention has been paid to energy consumption. Moreover, most of the efforts in the field of Green Computing have been devoted to hardware-related issues, being green software in its infancy. Optimizing the usage of computing resources, minimizing power consumption or increasing battery life are some of the goals of this field of research. As an attempt to address the most recent sustainability challenges, we must incorporate the energy consumption as a first-class constraint when designing new compact data structures. Thus, as a preliminary work to reach that goal, we first need to understand the factors that impact on the energy consumption and their relation with compression. In this work, we study the energy consumption required by several integer vector representations. We execute typical operations over datasets of different nature. We can see that, as commonly believed, energy consumption is highly related to the time required by the process, but not always. We analyze other parameters, such as number of instructions, number of CPU cycles, memory loads, among others.es_ES
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades; TIN2016-77158-C4-3-Res_ES
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades; RTC-2017-5908-7es_ES
dc.description.sponsorshipXunta de Galicia (co-founded with ERDF); ED431C 2017/58es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.description.sponsorshipComisión Nacional de Investigación Científica y Tecnológica; 3170534.es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/690941es_ES
dc.relation.urihttps://doi.org/10.1109/ACCESS.2019.2949655es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectData structureses_ES
dc.subjectGreen computinges_ES
dc.subjectOptimisationes_ES
dc.subjectPower aware computinges_ES
dc.subjectPower consumptiones_ES
dc.subjectCompact integer vectorses_ES
dc.subjectData structures analysises_ES
dc.subjectCompact data structureses_ES
dc.subjectEnergy consumptiones_ES
dc.subjectData structures designes_ES
dc.subjectGreen computinges_ES
dc.subjectInteger vector representationses_ES
dc.subjectCPU cycleses_ES
dc.subjectMemory loadses_ES
dc.subjectSoftwarees_ES
dc.subjectData compressiones_ES
dc.subjectIndexeses_ES
dc.subjectBioinformaticses_ES
dc.subjectAlgorithmses_ES
dc.subjectCompact data structureses_ES
dc.subjectData compressiones_ES
dc.subjectInteger vectorses_ES
dc.titleEnergy Consumption in Compact Integer Vectors: A Study Casees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleIEEE Accesses_ES
UDC.volume7es_ES
UDC.startPage155625es_ES
UDC.endPage155636es_ES
dc.identifier.doi10.1109/ACCESS.2019.2949655


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