Improving multitask performance and energy consumption with partial-ISA multicores

Modern GPPs implement specialized instructions in the form of ISA extensions aiming to increase the performance of emerging applications. These extensions impose a significant overhead in the area and power of the processor because of their specific datapaths (e.g. hardware for SIMD and FP instructi...

Descripción completa

Detalles Bibliográficos
Autores: Dellagostin Souza, Jeckson, Exenberger Becker, Pedro Henrique|||0000-0001-5947-1913, Schneider Beck, Antonio Carlos
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/349253
Acceso en línea:https://hdl.handle.net/2117/349253
https://dx.doi.org/10.1016/j.jpdc.2021.02.007
Access Level:acceso abierto
Palabra clave:Multiprocessors
Energy consumption
Heterogeneity
Partial-ISA
Overlapping-ISA
Energy efficiency
Scheduling
Multiprocessadors
Energia -- Consum
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
id ES_33d8f89ccb06543eb8a884bd7fd9abe5
oai_identifier_str oai:upcommons.upc.edu:2117/349253
network_acronym_str ES
network_name_str España
repository_id_str
spelling Improving multitask performance and energy consumption with partial-ISA multicoresDellagostin Souza, JecksonExenberger Becker, Pedro Henrique|||0000-0001-5947-1913Schneider Beck, Antonio CarlosMultiprocessorsEnergy consumptionHeterogeneityPartial-ISAOverlapping-ISAEnergy efficiencySchedulingMultiprocessadorsEnergia -- ConsumÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadorsModern GPPs implement specialized instructions in the form of ISA extensions aiming to increase the performance of emerging applications. These extensions impose a significant overhead in the area and power of the processor because of their specific datapaths (e.g. hardware for SIMD and FP instructions may represent more than half of the core area). Considering that some devices (e.g., edge computing), must be as energy- and area-efficient as possible, and the sporadic usage of specialized instructions in many applications, we propose PHISA multicores. PHISA is composed of heterogeneous cores of the same single base ISA, but asymmetric functionality: some of the cores do not fully implement the costly instruction extensions, making room for the designers to add more efficient cores. We show that PHISA increases performance in (32%) and reduces energy consumption in (82%) compared to full-ISA systems with the same power budget, in multi-workload environments.This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brasil (CAPES) - Finance Code 001, the Fundação de Amparo à Pesquisa do Estado do RS (FAPERGS), Brazil and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil.Peer ReviewedElsevier20212021-07-0120212021-07-14journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/349253https://dx.doi.org/10.1016/j.jpdc.2021.02.007reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3492532026-05-27T15:37:01Z
dc.title.none.fl_str_mv Improving multitask performance and energy consumption with partial-ISA multicores
title Improving multitask performance and energy consumption with partial-ISA multicores
spellingShingle Improving multitask performance and energy consumption with partial-ISA multicores
Dellagostin Souza, Jeckson
Multiprocessors
Energy consumption
Heterogeneity
Partial-ISA
Overlapping-ISA
Energy efficiency
Scheduling
Multiprocessadors
Energia -- Consum
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
title_short Improving multitask performance and energy consumption with partial-ISA multicores
title_full Improving multitask performance and energy consumption with partial-ISA multicores
title_fullStr Improving multitask performance and energy consumption with partial-ISA multicores
title_full_unstemmed Improving multitask performance and energy consumption with partial-ISA multicores
title_sort Improving multitask performance and energy consumption with partial-ISA multicores
dc.creator.none.fl_str_mv Dellagostin Souza, Jeckson
Exenberger Becker, Pedro Henrique|||0000-0001-5947-1913
Schneider Beck, Antonio Carlos
author Dellagostin Souza, Jeckson
author_facet Dellagostin Souza, Jeckson
Exenberger Becker, Pedro Henrique|||0000-0001-5947-1913
Schneider Beck, Antonio Carlos
author_role author
author2 Exenberger Becker, Pedro Henrique|||0000-0001-5947-1913
Schneider Beck, Antonio Carlos
author2_role author
author
dc.subject.none.fl_str_mv Multiprocessors
Energy consumption
Heterogeneity
Partial-ISA
Overlapping-ISA
Energy efficiency
Scheduling
Multiprocessadors
Energia -- Consum
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
topic Multiprocessors
Energy consumption
Heterogeneity
Partial-ISA
Overlapping-ISA
Energy efficiency
Scheduling
Multiprocessadors
Energia -- Consum
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
description Modern GPPs implement specialized instructions in the form of ISA extensions aiming to increase the performance of emerging applications. These extensions impose a significant overhead in the area and power of the processor because of their specific datapaths (e.g. hardware for SIMD and FP instructions may represent more than half of the core area). Considering that some devices (e.g., edge computing), must be as energy- and area-efficient as possible, and the sporadic usage of specialized instructions in many applications, we propose PHISA multicores. PHISA is composed of heterogeneous cores of the same single base ISA, but asymmetric functionality: some of the cores do not fully implement the costly instruction extensions, making room for the designers to add more efficient cores. We show that PHISA increases performance in (32%) and reduces energy consumption in (82%) compared to full-ISA systems with the same power budget, in multi-workload environments.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-07-01
2021
2021-07-14
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/349253
https://dx.doi.org/10.1016/j.jpdc.2021.02.007
url https://hdl.handle.net/2117/349253
https://dx.doi.org/10.1016/j.jpdc.2021.02.007
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405773183844352
score 15,301629

Similares en LA Referencia