SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters
- Autores
- Montezanti, Diego Miguel; Frati, Fernando Emmanuel; Rexachs, Dolores; Luquet, Emilio; Naiouf, Ricardo Marcelo; de Giusti, Armando Eduardo
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The challenge of improving the performance of current processors is achieved by increasing the integration scale. This carries a growing vulnerability to transient faults, which increase their impact on multicore clusters running large scientific parallel applications. The requirement for enhancing the reliability of these systems, coupled with the high cost of rerunning the application from the beginning, create the motivation for having specific software strategies for the target systems. This paper introduces SMCV, which is a fully distributed technique that provides fault detection for message-passing parallel applications, by validating the contents of the messages to be sent, preventing the transmission of errors to other processes and leveraging the intrinsic hardware redundancy of the multicore. SMCV achieves a wide robustness against transient faults with a reduced overhead, and accomplishes a trade-off between moderate detection latency and low additional workload.
Fil: Montezanti, Diego Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; Argentina
Fil: Frati, Fernando Emmanuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; Argentina
Fil: Rexachs, Dolores. Universitat Autònoma de Barcelona; España
Fil: Luquet, Emilio. Universitat Autònoma de Barcelona; España
Fil: Naiouf, Ricardo Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; Argentina
Fil: de Giusti, Armando Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; Argentina - Materia
-
Parallel scientific application,
Multicore cluster
Transient fault
Soft error detection - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/66780
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SMCV: a Methodology for Detecting Transient Faults in Multicore ClustersMontezanti, Diego MiguelFrati, Fernando EmmanuelRexachs, DoloresLuquet, EmilioNaiouf, Ricardo Marcelode Giusti, Armando EduardoParallel scientific application,Multicore clusterTransient faultSoft error detectionhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The challenge of improving the performance of current processors is achieved by increasing the integration scale. This carries a growing vulnerability to transient faults, which increase their impact on multicore clusters running large scientific parallel applications. The requirement for enhancing the reliability of these systems, coupled with the high cost of rerunning the application from the beginning, create the motivation for having specific software strategies for the target systems. This paper introduces SMCV, which is a fully distributed technique that provides fault detection for message-passing parallel applications, by validating the contents of the messages to be sent, preventing the transmission of errors to other processes and leveraging the intrinsic hardware redundancy of the multicore. SMCV achieves a wide robustness against transient faults with a reduced overhead, and accomplishes a trade-off between moderate detection latency and low additional workload.Fil: Montezanti, Diego Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; ArgentinaFil: Frati, Fernando Emmanuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; ArgentinaFil: Rexachs, Dolores. Universitat Autònoma de Barcelona; EspañaFil: Luquet, Emilio. Universitat Autònoma de Barcelona; EspañaFil: Naiouf, Ricardo Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; ArgentinaFil: de Giusti, Armando Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; ArgentinaCentro Latinoamericano de Estudios en Informática2012-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/66780Montezanti, Diego Miguel; Frati, Fernando Emmanuel; Rexachs, Dolores; Luquet, Emilio; Naiouf, Ricardo Marcelo; et al.; SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters; Centro Latinoamericano de Estudios en Informática; CLEI Electronic Journal; 15; 3; 12-2012; 1-110717-5000CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/138info:eu-repo/semantics/altIdentifier/doi/10.19153/cleiej.15.3.5info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:35:35Zoai:ri.conicet.gov.ar:11336/66780instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:35:35.511CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters |
title |
SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters |
spellingShingle |
SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters Montezanti, Diego Miguel Parallel scientific application, Multicore cluster Transient fault Soft error detection |
title_short |
SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters |
title_full |
SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters |
title_fullStr |
SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters |
title_full_unstemmed |
SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters |
title_sort |
SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters |
dc.creator.none.fl_str_mv |
Montezanti, Diego Miguel Frati, Fernando Emmanuel Rexachs, Dolores Luquet, Emilio Naiouf, Ricardo Marcelo de Giusti, Armando Eduardo |
author |
Montezanti, Diego Miguel |
author_facet |
Montezanti, Diego Miguel Frati, Fernando Emmanuel Rexachs, Dolores Luquet, Emilio Naiouf, Ricardo Marcelo de Giusti, Armando Eduardo |
author_role |
author |
author2 |
Frati, Fernando Emmanuel Rexachs, Dolores Luquet, Emilio Naiouf, Ricardo Marcelo de Giusti, Armando Eduardo |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Parallel scientific application, Multicore cluster Transient fault Soft error detection |
topic |
Parallel scientific application, Multicore cluster Transient fault Soft error detection |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The challenge of improving the performance of current processors is achieved by increasing the integration scale. This carries a growing vulnerability to transient faults, which increase their impact on multicore clusters running large scientific parallel applications. The requirement for enhancing the reliability of these systems, coupled with the high cost of rerunning the application from the beginning, create the motivation for having specific software strategies for the target systems. This paper introduces SMCV, which is a fully distributed technique that provides fault detection for message-passing parallel applications, by validating the contents of the messages to be sent, preventing the transmission of errors to other processes and leveraging the intrinsic hardware redundancy of the multicore. SMCV achieves a wide robustness against transient faults with a reduced overhead, and accomplishes a trade-off between moderate detection latency and low additional workload. Fil: Montezanti, Diego Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; Argentina Fil: Frati, Fernando Emmanuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; Argentina Fil: Rexachs, Dolores. Universitat Autònoma de Barcelona; España Fil: Luquet, Emilio. Universitat Autònoma de Barcelona; España Fil: Naiouf, Ricardo Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; Argentina Fil: de Giusti, Armando Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de la Plata. Facultad de Informatica. Instituto de Investigación En Informatica Lidi; Argentina |
description |
The challenge of improving the performance of current processors is achieved by increasing the integration scale. This carries a growing vulnerability to transient faults, which increase their impact on multicore clusters running large scientific parallel applications. The requirement for enhancing the reliability of these systems, coupled with the high cost of rerunning the application from the beginning, create the motivation for having specific software strategies for the target systems. This paper introduces SMCV, which is a fully distributed technique that provides fault detection for message-passing parallel applications, by validating the contents of the messages to be sent, preventing the transmission of errors to other processes and leveraging the intrinsic hardware redundancy of the multicore. SMCV achieves a wide robustness against transient faults with a reduced overhead, and accomplishes a trade-off between moderate detection latency and low additional workload. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/66780 Montezanti, Diego Miguel; Frati, Fernando Emmanuel; Rexachs, Dolores; Luquet, Emilio; Naiouf, Ricardo Marcelo; et al.; SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters; Centro Latinoamericano de Estudios en Informática; CLEI Electronic Journal; 15; 3; 12-2012; 1-11 0717-5000 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/66780 |
identifier_str_mv |
Montezanti, Diego Miguel; Frati, Fernando Emmanuel; Rexachs, Dolores; Luquet, Emilio; Naiouf, Ricardo Marcelo; et al.; SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters; Centro Latinoamericano de Estudios en Informática; CLEI Electronic Journal; 15; 3; 12-2012; 1-11 0717-5000 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/138 info:eu-repo/semantics/altIdentifier/doi/10.19153/cleiej.15.3.5 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Centro Latinoamericano de Estudios en Informática |
publisher.none.fl_str_mv |
Centro Latinoamericano de Estudios en Informática |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614374153519104 |
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13.070432 |