AI RESEARCH
FLARE: One-Shot PE-Level Fault Localization in Systolic Arrays via Algebraic Test Vectors
arXiv CS.LG
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ArXi:2605.08594v1 Announce Type: cross Systolic arrays are the dominant compute fabric for neural network inference. Prior work has addressed column-level fault detection efficiently with uniform test patterns, but row-level (PE-level) fault localization within a faulty column remains open without resorting to hardware redundancy. The fundamental obstacle is that uniform test inputs destroy per-row signatures: any test that activates every row equally cannot distinguish which row is the source of an observed deviation.