Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/50495
Campo DC Valoridioma
dc.contributor.authorVera, Javieren_US
dc.contributor.authorCazorla, Francisco J.en_US
dc.contributor.authorPajuelo, Alexen_US
dc.contributor.authorSantana, Oliverio J.en_US
dc.contributor.authorFernandez, Enriqueen_US
dc.contributor.authorValero, Mateoen_US
dc.date.accessioned2018-11-24T16:29:02Z-
dc.date.available2018-11-24T16:29:02Z-
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/10553/50495-
dc.description.abstractNowadays, multithreaded architectures are becoming more and more popular. In fact, many processor vendors have already shipped processors with multithreaded features. Regardless of this push on multithreaded processors, still today there is not a clear procedure that defines how to measure the behavior of a multithreaded processor. This paper presents FAME, a new evaluation methodology aimed to fairly measure the performance of multithreaded processors. FAME can be used in conjunction with any of the metrics proposed for multithreaded processors like IPC throughput, weighted speedup, etc. The idea behind FAME is to reexecute all threads in a multithreaded workload until all of them are fairly represented in the final measurements taken from the workload. Then these measurements will be combined with the corresponding metric to obtain a final value that quantifies the performance of the processor under consideration.en_US
dc.languageengen_US
dc.source2007 SPEC Benchmark Workshopen_US
dc.subject330406 Arquitectura de ordenadoresen_US
dc.titleMeasuring the performance of multithreaded processorsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceSPEC Benchmark Workshop 2007en_US
dc.identifier.scopus52649149572-
dc.contributor.authorscopusid24476591600-
dc.contributor.authorscopusid55129883300-
dc.contributor.authorscopusid9733817100-
dc.contributor.authorscopusid7003605046-
dc.contributor.authorscopusid36476145100-
dc.contributor.authorscopusid24475914200-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.date.coverdateDiciembre 2007en_US
dc.identifier.conferenceidevents121355-
dc.identifier.ulpgcen_US
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0001-7511-5783-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameSantana Jaria, Oliverio Jesús-
crisitem.author.fullNameFernández García, Enrique-
crisitem.event.eventsstartdate21-01-2007-
crisitem.event.eventsenddate21-01-2007-
Colección:Actas de congresos
miniatura
pdf
Adobe PDF (789,26 kB)
Vista resumida

Citas SCOPUSTM   

5
actualizado el 08-dic-2024

Visitas

44
actualizado el 09-sep-2023

Descargas

9
actualizado el 09-sep-2023

Google ScholarTM

Verifica


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.