Manufacturing process variations lead to variability in circuit delay and, if not accounted for, can cause excessive timing yield loss. The familiar traditional approaches to timin...
In the nanometer manufacturing region, process variation causes significant uncertainty for circuit performance verification. Statistical static timing analysis (SSTA) is thus dev...
We propose a gate resizing method for delay and power optimization that is based on statistical static timing analysis. Our method focuses on the component of timing uncertainties...
—With every process generation, the problem of variability in physical parameters and environmental conditions poses a great challenge to the design of fast and reliable circuits...
Shrikanth Ganapathy, Ramon Canal, Antonio Gonz&aac...
—As process variations become a significant problem in deep sub-micron technology, a shift from deterministic static timing analysis to statistical static timing analysis for hig...
Process technology and environment-induced variability of gates and wires in VLSI circuits make timing analyses of such circuits a challenging task. Process variation can have a s...
This paper focuses on statistical interconnect timing analysis in a parameterized block-based statistical static timing analysis tool. In particular, a new framework for performin...
A vast literature has been published on Statistical Static Timing Analysis (SSTA), its motivations, its different implementations and their runtime/accuracy trade-offs. However, v...
A. Nardi, Emre Tuncer, S. Naidu, A. Antonau, S. Gr...
Statistical static timing analysis (SSTA) plays a key role in determining performance of the VLSI circuits implemented in state-of-the-art CMOS technology. A pre-requisite for emp...
VLSI timing analysis and power estimation target the same circuit switching activity. Power estimation techniques are categorized as (1) static, (2) statistical, and (3) simulatio...