Distributed dynamic partitioning based diagnosis of scan chain

Diagnosis memory footprint for large designs is growing as design sizes grow such that the diagnosis throughput for given computational resources becomes a bottleneck in volume diagnosis. In this paper, we propose a scan chain diagnosis flow based on dynamic design partitioning and distributed diagnosis architecture that can improve the diagnosis throughput over one order of magnitude.