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Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives

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Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives

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Canal, R.; Hernández Luz, C.; Tornero-Gavilá, R.; Cilardo, A.; Massari, G.; Reghenzani, F.; Fornaciari, W.... (2020). Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives. ACM Computing Surveys. 53(5):1-32. https://doi.org/10.1145/3403956

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Título: Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives
Autor: Canal, Ramon Hernández Luz, Carles Tornero-Gavilá, Rafael Cilardo, Alessandro Massari, Giuseppe Reghenzani, Federico Fornaciari, William Zapater, Marina Atienza, David Oleksiak, Ariel Piatek, Wojciech Abella, Jaume
Entidad UPV: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Fecha difusión:
Resumen:
[EN] Performance and power constraints come together with Complementary Metal Oxide Semiconductor technology scaling in future Exascale systems. Technology scaling makes each individual transistor more prone to faults and, ...[+]
Palabras clave: HPC , Supercomputing , Exascale , Reliability , Prediction , Survey , Faults , Failures
Derechos de uso: Reserva de todos los derechos
Fuente:
ACM Computing Surveys. (issn: 0360-0300 )
DOI: 10.1145/3403956
Editorial:
Association for Computing Machinery
Versión del editor: https://doi.org/10.1145/3403956
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/801137/EU/REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems/
info:eu-repo/grantAgreement/MINECO//RYC-2013-14717/ES/RYC-2013-14717/
info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/
info:eu-repo/grantAgreement/Generalitat de Catalunya//2017 SGR 0962/
Descripción: © ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Computing Surveys, Vol. 53, No. 5, Article 95. Publication date: September 2020. https://doi.org/10.1145/3403956
Agradecimientos:
This work has received funding from the European Union's Horizon 2020 (H2020) research and innovation program under the FET-HPC Grant Agreement No. 801137 (RECIPE). Jaume Abella was also partially supported by the Ministry ...[+]
Tipo: Artículo

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