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Energy aware execution environments and algorithms on low power multi-core architectures

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Arquitectura de Computadores, Comunicaciones y Sistemases
dc.contributor.authorCatalán, Sandra
dc.contributor.authorRodríguez-Sánchez, Rafael
dc.contributor.authorQuintana-Ortí, Enrique S.
dc.contributor.editorCarretero Pérez, Jesús
dc.contributor.editorGarcía Blas, Javier
dc.contributor.editorPetcu, Dana
dc.date.accessioned2016-04-28T09:05:34Z
dc.date.available2016-04-28T09:05:34Z
dc.date.issued2016-02
dc.descriptionProceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.es
dc.description.abstractEnergy consumption is a key aspect that conditions the proper functioning of nowadays data centers and high performance computing just like the launch of new services, due to its environmental negative impact and the increasing economic costs of energy. The energy efficiency of the applications used in these data centers could be improved, especially when systems’ utilization rate is low or moderate, or when targeting memory bounded applications. In this sense, energy proportionality stands for systems which power consumption is in line with the amount of work performed in each moment. As a response to these needs, the main objective of this project is to study, design, develop and analyze experimental solutions (models, programs, tools and techniques) aware of energy proportionality for scientific and engineering applications on low-power architectures. With the aim of showing the benefits of this contribution, two applications, coming from the image processing and dynamic molecular simulation fields, have been chosen.es
dc.description.sponsorshipEuropean Cooperation in Science and Technology. COSTes
dc.format.extent4
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationCarretero Pérez, Jesús; et.al. (eds.). (2016). Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016). Timisoara, Romania. Universidad Carlos III de Madrid, ARCOS. Pp. 9-12.
dc.identifier.isbn978-84-608-6309-0
dc.identifier.publicationfirstpage9
dc.identifier.publicationlastpage12
dc.identifier.publicationtitleProceedings of the First PhD Symposium on Sustainable UltrascaleComputing Systems (NESUS PhD 2016)en
dc.identifier.urihttps://hdl.handle.net/10016/22865
dc.language.isoeng
dc.relation.eventdateFebruary 8-11, 2016en
dc.relation.eventnumber1
dc.relation.eventplaceTimisoara, Romaniaen
dc.relation.eventtitlePhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaInformáticaes
dc.subject.otherEnergyen
dc.subject.otherLow-power architecturesen
dc.subject.otherLinear algebraen
dc.subject.otherNESUSen
dc.titleEnergy aware execution environments and algorithms on low power multi-core architecturesen
dc.typeconference paper*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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