| KEYWORD |
Software development techniques for resilient embedded GPUs
Parole chiave GPU, NVIDIA, ACCELERATORE, GPU, RICONOSCIMENTO PEDONI, AFFIDABILITĄ, SAFETY
Riferimenti LUCA STERPONE
Gruppi di ricerca GR-05 - ELECTRONIC CAD & RELIABILITY GROUP - CAD
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 device (Jetson nano) which has a Maxwell NVIDIA architecture with 128 cores.
Conoscenze richieste C, C++, basic Knowledge of the GPU architecture
Scadenza validita proposta 20/09/2019
PROPONI LA TUA CANDIDATURA