Safety-related challenges and opportunities for GPUs in the automotive domain
GPUs have been shown to cover the computing performance needs of autonomous driving (AD) systems. However, since the GPUs used for AD build on designs for the mainstream market, they may lack fundamental properties for correct operation under automotive's safety regulations. In this paper, we a...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/166388 |
| Acceso en línea: | https://hdl.handle.net/2117/166388 https://dx.doi.org/10.1109/MM.2018.2873870 |
| Access Level: | acceso abierto |
| Palabra clave: | High performance computing Traffic engineering Graphics processing units Safety ISO Standards Hardware acceleration Automotive engineering Redundancy Unmanned autonomous vehicles Supercomputadors Enginyeria del trànsit Unitats de processament gràfic Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
| Sumario: | GPUs have been shown to cover the computing performance needs of autonomous driving (AD) systems. However, since the GPUs used for AD build on designs for the mainstream market, they may lack fundamental properties for correct operation under automotive's safety regulations. In this paper, we analyze some of the main challenges in hardware and software design to embrace GPUs as the reference computing solution for AD, with the emphasis in ISO 26262 functional safety requirements. |
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