Analysis of Kernel Redundancy for Soft Error Mitigation on Embedded GPUs
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Título: | Analysis of Kernel Redundancy for Soft Error Mitigation on Embedded GPUs |
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Autor/es: | Serrano-Cases, Alejandro | Alcaide, Sergi | Romero-Maestre, Amor | Morilla, Yolanda | Cuenca-Asensi, Sergio |
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: | GPU | Proton irradiation | Redundant kernels | Soft errors |
Fecha de publicación: | 3-jul-2023 |
Editor: | IEEE |
Cita bibliográfica: | IEEE Transactions on Nuclear Science. 2023, 70(8): 1700-1707. https://doi.org/10.1109/TNS.2023.3291418 |
Resumen: | The use of state-of-the-art commercial processors such as graphical processing units (GPUs) is becoming increasingly common in the New Space industry in order to ensure high performance and power efficiency. However, commercial GPUs are not designed to operate in a harsh environment and therefore different protection techniques need to be applied to mitigate the effects of radiation, including those produced by single events. This paper assesses the effectiveness of redundant kernel execution on tightly constrained embedded GPUs under proton irradiation, with results suggesting a significant improvement in the SDC cross-section without penalizing the stability of the whole system. In addition, the posterior error analysis shows that the CPU is the source of the majority of the events, which are mainly dominated by functional interrupts. |
Patrocinador/es: | This work has been supported by the Spanish Ministry of Science and Innovation as part of the PID2019-106455GB-C22 project. |
URI: | http://hdl.handle.net/10045/135824 |
ISSN: | 0018-9499 (Print) | 1558-1578 (Online) |
DOI: | 10.1109/TNS.2023.3291418 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2023 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.2023.3291418 |
Aparece en las colecciones: | INV - UNICAD - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Serrano-Cases_etal_2023_IEEE-TNS_accepted.pdf | Accepted Manuscript (acceso abierto) | 12,73 MB | Adobe PDF | Abrir Vista previa |
Serrano-Cases_etal_2023_IEEE-TNS_final.pdf | Versión final (acceso restringido) | 1,21 MB | Adobe PDF | Abrir Solicitar una copia |
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