Statistical Timing Models for Large Macro Cells and IP Blocks Considering Process Variations

摘要

Integrated circuits today rely on extensive reuse of IP bocks and macro cells to meet the demand for high performance system-on-chip. We propose a methodology for extracting timing models of IP blocks and macro cells for statistical timing analysis considering process variations and spatial correlations. We develop efficient models for capturing both inter-die and intra-die variations in device and interconnect parameters. Increasing spatial correlations in variability of the process parameters in subnanometer designs requires instance-specific characterization of these design blocks. We propose a novel technique for instance-specific calibration of precharacterized timing model. The proposed approach was evaluated on large industrial designs of 1.2- and 3.5-M gates in 65-nm technology and validated against SPICE for accuracy.