Hybrid Lockstep Technique for Soft Error Mitigation
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http://hdl.handle.net/10045/121845
Título: | Hybrid Lockstep Technique for Soft Error Mitigation |
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Autor/es: | Peña-Fernández, Manuel | Serrano-Cases, Alejandro | Lindoso, Almudena | Cuenca-Asensi, Sergio | Entrena, Luis | Morilla, Yolanda | Martín-Holgado, Pedro | Martínez-Álvarez, Antonio |
Grupo/s de investigación o GITE: | UniCAD: Grupo de investigación en CAD/CAM/CAE de la Universidad de Alicante |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | Soft errors | Proton irradiation | Dualcore | Lockstep | Multithreading | Fault tolerance |
Área/s de conocimiento: | Arquitectura y Tecnología de Computadores |
Fecha de publicación: | 7-feb-2022 |
Editor: | IEEE |
Cita bibliográfica: | IEEE Transactions on Nuclear Science. 2022, 69(7): 1574-1581. https://doi.org/10.1109/TNS.2022.3149867 |
Resumen: | This work presents the evaluation of a new dualcore lockstep hybrid approach aimed to improve the fault tolerance in microprocessors. Our approach takes advantage of modern multicore processor resources to combine a software-based lockstep with a custom hardware observer. The first is used to duplicate data and instruction flows; meanwhile, the second is in charge of the control-flow monitoring. The proposal has been implemented in a dualcore ARM microprocessor and validated with low energy proton irradiation and emulated fault injection campaigns. The results show an improvement of one order of magnitude in the cross-section of the benchmarks tested, even considering the worst-case scenario. |
Patrocinador/es: | This work has been supported in part by the Spanish Ministry of Science and Innovation under the projects PID2019-106455GB-C22, PID2019-106455GB-C21; and by the Community of Madrid under grant IND2017/TIC-7776. |
URI: | http://hdl.handle.net/10045/121845 |
ISSN: | 0018-9499 (Print) | 1558-1578 (Online) |
DOI: | 10.1109/TNS.2022.3149867 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1109/TNS.2022.3149867 |
Aparece en las colecciones: | INV - UNICAD - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Pena-Fernandez_etal_2022_IEEE-TNS_accepted.pdf | Accepted Manuscript (acceso abierto) | 932,71 kB | Adobe PDF | Abrir Vista previa |
Pena-Fernandez_etal_2022_IEEE-TNS_final.pdf | Versión final (acceso restringido) | 938,93 kB | Adobe PDF | Abrir Solicitar una copia |
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