Asymptotic Timing Sign-off: A High-Order, Moment-Aware Framework for Solving the Process Variation Nightmare in Sub-5nm VLSI Design

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Abstract

As semiconductor scaling enters the 3nm Gate-AllAround (GAA) and 2nm nodes, traditional Gaussian Statistical Static Timing Analysis (SSTA) encounters a “Variation Singularity”—a critical threshold where deterministic models and fixed-sigma approximations fundamentally diverge from silicon reality. Current industry standards, while moving toward AOCV/POCV, remain bound by the Gaussian truncation of the delay tail, leading to either excessive guardbanding or field instability. This paper introduces the Asymptotic Timing Sign-off Methodology, a high-order, moment-aware framework that transcends standard industry assumptions. By unifying the principles of thermal ionization (Saha), occupancy clustering (Bose), and lattice-stress (Raman) with the asymptotic expansions of Ramanujan and Cornish-Fisher, we derive a master signoff condition that eliminates tail-induced “Silent Escapes.” This methodology identifies the exact quantile boundaries missed by traditional fixed-sigma margining, offering a mathematically rigorous path for sub-5nm reliability. Experimental results demonstrate a 6–11% frequency advantage in 2nm logic over current industry standards by reclaiming wasted pessimism through high-fidelity tail awareness.

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