Special Session: Reliability Assessment Recipes for DNN Accelerators
Résumé
Reliability assessment is mandatory to guarantee the correct behavior of DNN hardware accelerators in safety-critical applications. While fault injection stands out as a well-established, practical and robust method for reliability assessment, it is still a very time-consuming process. This paper contributes with three recipes for optimizing the efficiency of the reliability assessment: a) hybrid analytical and hierarchical FI-based reliability assessment for systolic-array-based DNN accelerators; b) mixing techniques for the reliability assessment of in-chip AI accelerators in GPUs; c) reliability assessment of DNN hardware accelerators through physical fault injection. The experimental results demonstrate the efficiency of the proposed methods applied to their target DNN HW accelerator platforms.
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VTS_24_Special_Session__Reliability_Assessment_Recipes-1.pdf (1.33 Mo)
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