Fast & Accurate Methodology for Aging Incorporation in Circuits using Adaptive Waveform Splitting (AWS)

A common approach to incorporate workload dependent aging in circuits is to use an effective stress time or so-called signal probability (SP) to calculate degradation under realistic workload scenarios. However, this approach is not fully physics-based and incurs erroneous estimation of degradation. Moreover, cycle-accurate (CA) simulations are computationally expensive. In this paper, a relatively fast yet accurate, adaptive waveform splitting (AWS) algorithm is proposed to enable fast calculation of workload-dependent device aging. The proposed algorithm has been adopted to perform aging estimation of large circuits under specific workload scenarios.