| KEYWORD |
Software development techniques for resilient embedded GPUs
Parole chiave GPU, NVIDIA, ACCELERATORE, GPU, RICONOSCIMENTO PEDONI, AFFIDABILITĄ, SAFETY
Riferimenti LUCA STERPONE
Gruppi di ricerca DAUIN - AEROSPACE AND SAFETY COMPUTING LAB
Descrizione Autonomous driving is today largely supported by embedded high-performance General Purpose Graphical Processing Unit (GPGPU) that executes image elaboration and control algorithms enabling self-driving cars. The activity of this thesis, done in collaboration with NVIDIA, is based on the development of applications and analysis of errors by the development of new fault injection methods on one of the state-of-the-art NVIDIA devices (Jetson nano) which has a Maxwell NVIDIA architecture with 128 cores. The thesis is supported by a scholarship.
Scadenza validita proposta 03/03/2025
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