Skip to main content
Video s3
    Details
    Presenter(s)
    Juan David Guerrero-Balaguera Headshot
    Affiliation
    Affiliation
    Politecnico di Torino
    Country
    Country
    Italy
    Author(s)
    Affiliation
    Affiliation
    Politecnico di Torino
    Affiliation
    Affiliation
    Politecnico di Torino
    Affiliation
    Affiliation
    Politecnico di Torino
    Abstract

    This work evaluates, for the first time, the effect of permanent faults in the register file of a GPU and the impact of several performance optimizations on the DNN\'s reliability. The reliability evaluation relies on software-based fault campaigns deployed on the NVIDIA RTX 3060Ti GPU with Ampere architecture. The results show that setting up optimization configurations, with reduced usage of the number of registers/thread and computations on the Stream Processors only, can improve the reliability, against permanent faults in the register file, by up to 20% for most of the evaluated DNNs

    Slides
    • Neural Network\'s Reliability to Permanent Faults: Analyzing the Impact of Performance Optimizations in GPUs (application/pdf)