SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters
- Autores
- Montezanti, Diego Miguel; Frati, Fernando Emmanuel; Rexachs del Rosario, Dolores; Luquet, Emilio; Naiouf, 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.
Instituto de Investigación en Informática - Materia
-
Ingeniería en Computación
Ciencias Informáticas
Parallel scientific application
Multicore cluster
Transient fault
Soft error detection - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/96550
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SMCV: a Methodology for Detecting Transient Faults in Multicore ClustersMontezanti, Diego MiguelFrati, Fernando EmmanuelRexachs del Rosario, DoloresLuquet, EmilioNaiouf, MarceloDe Giusti, Armando EduardoIngeniería en ComputaciónCiencias InformáticasParallel scientific applicationMulticore clusterTransient faultSoft error detectionThe 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.Instituto de Investigación en Informática2012-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf1-11http://sedici.unlp.edu.ar/handle/10915/96550enginfo:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/66780info:eu-repo/semantics/altIdentifier/url/http://www2.clei.org/cleiej/paper.php?id=250info:eu-repo/semantics/altIdentifier/issn/0717-5000info:eu-repo/semantics/altIdentifier/doi/10.19153/cleiej.15.3.5info:eu-repo/semantics/altIdentifier/hdl/11336/66780info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:20:20Zoai:sedici.unlp.edu.ar:10915/96550Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:20:21.068SEDICI (UNLP) - Universidad Nacional de La Platafalse |
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 Ingeniería en Computación Ciencias Informáticas 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 del Rosario, Dolores Luquet, Emilio Naiouf, Marcelo De Giusti, Armando Eduardo |
author |
Montezanti, Diego Miguel |
author_facet |
Montezanti, Diego Miguel Frati, Fernando Emmanuel Rexachs del Rosario, Dolores Luquet, Emilio Naiouf, Marcelo De Giusti, Armando Eduardo |
author_role |
author |
author2 |
Frati, Fernando Emmanuel Rexachs del Rosario, Dolores Luquet, Emilio Naiouf, Marcelo De Giusti, Armando Eduardo |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Ingeniería en Computación Ciencias Informáticas Parallel scientific application Multicore cluster Transient fault Soft error detection |
topic |
Ingeniería en Computación Ciencias Informáticas Parallel scientific application Multicore cluster Transient fault Soft error detection |
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. Instituto de Investigación en Informática |
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 Articulo 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://sedici.unlp.edu.ar/handle/10915/96550 |
url |
http://sedici.unlp.edu.ar/handle/10915/96550 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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