Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/11886
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorGamell Balmanya, Marc-
dc.contributor.otherUniversitat Oberta de Catalunya-
dc.date.accessioned2012-02-03T11:59:31Z-
dc.date.available2012-02-03T11:59:31Z-
dc.date.issued2012-01-
dc.identifier.urihttp://hdl.handle.net/10609/11886-
dc.description.abstractTechnological limitations and power constraints are resulting in high-performance parallel computing architectures that are based on large numbers of high-core-count processors. Commercially available processors are now at 8 and 16 cores and experimental platforms, such as the many-core Intel Single-chip Cloud Computer (SCC) platform, provide much higher core counts. These trends are presenting new sets of challenges to HPC applications including programming complexity and the need for extreme energy efficiency. In this work, we first investigate the power behavior of scientific PGAS application kernels on the SCC platform, and explore opportunities and challenges for power management within the PGAS framework. Results obtained via empirical evaluation of Unified Parallel C (UPC) applications on the SCC platform under different constraints, show that, for specific operations, the potential for energy savings in PGAS is large; and power/performance trade-offs can be effectively managed using a cross-layer approach. We investigate cross-layer power management using PGAS language extensions and runtime mechanisms that manipulate power/performance tradeoffs. Specifically, we present the design, implementation and evaluation of such a middleware for application-aware cross-layer power management of UPC applications on the SCC platform. Finally, based on our observations, we provide a set of recommendations and insights that can be used to support similar power management for PGAS applications on other many-core platforms.en
dc.description.abstractEn este trabajo se investiga el comportamiento de alimentación de los núcleos de aplicaciones científicas PGAS en la plataforma de SCC y se exploran las oportunidades y desafíos para la administración de energía en el marco PGAS.es
dc.description.abstractEn aquest treball s'investiga el comportament d'alimentació dels nuclis d'aplicacions científiques PGAS a la plataforma de SCC i s'exploren les oportunitats i desafiaments per a la gestió de l'energia en el marc PGAS.ca
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherUniversitat Oberta de Catalunya-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/-
dc.subjectsegon cicle d'Enginyeria Informàticaca
dc.subjectPGASca
dc.subjectMany-coreca
dc.subjectIntelca
dc.subjectSCCca
dc.subjectUnified Parallel Cca
dc.subjectSecond-cycle Degree in Computer Engineeringen
dc.subjectPGASen
dc.subjectMany-coreen
dc.subjectIntelen
dc.subjectSCCen
dc.subjectUnified Parallel Cen
dc.subjectsegundo ciclo de Ingeniería Informáticaes
dc.subjectPGASes
dc.subjectMany-corees
dc.subjectInteles
dc.subjectSCCes
dc.subjectUnified Parallel Ces
dc.subject.lcshApplication software -- Developmenten
dc.titleExploring Cross-layer power management for PGAS applications on the SCC platform-
dc.typeinfo:eu-repo/semantics/bachelorThesis-
dc.audience.mediatorTheme areas::Computer Science, Technology and Multimedia::Computer Scienceen
dc.audience.educationlevelUniversity degreesen
dc.subject.lemacProgramari d'aplicació -- Desenvolupamentca
dc.subject.lcshesSoftware de aplicación -- Desarrolloes
dc.contributor.tutorRodero, Ivan-
Aparece en las colecciones: Trabajos finales de carrera, trabajos de investigación, etc.

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
marcgamellTFC0112memoria.pdfMemòria2,27 MBAdobe PDFVista previa
Visualizar/Abrir
marcgamellTFC0112presentacio.pdfPresentació1,39 MBAdobe PDFVista previa
Visualizar/Abrir