PORTALE DELLA DIDATTICA

Ricerca CERCA
  KEYWORD

Area Ingegneria

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      PROPONI LA TUA CANDIDATURA