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DAUIN - AEROSPACE AND SAFETY COMPUTING LAB

Software development techniques for resilient embedded GPUs

keywords GPU, NVIDIA, ACCELERATOR, GPU, PEDESTRIAN RECOGNITION, DEPENDABILITY, SAFETY

Reference persons LUCA STERPONE

Research Groups DAUIN - AEROSPACE AND SAFETY COMPUTING LAB

Description 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.

Deadline 03/03/2025      PROPONI LA TUA CANDIDATURA