Exploring Software Models for the Resilience Analysis of Deep Learning Accelerators: the NVDLA Case Study

A. Veronesi, F. Dall’Occo,D. Bertozzi, M. Favalli,M. Krstic

2022 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)（2022）

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摘要

Deep learning accelerator models described with software imperative languages are frequently used for their large-scale reliability analysis in order to overcome the prohibitive simulation times of logic-level and RTL models. However, they are faced with the challenge of preserving consistency between software-visible variables and faulty microarchitectural states. The goal of this work is to dete...

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关键词

Deep learning,Analytical models,Microarchitecture,Software algorithms,Software,Hardware,Software reliability

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