Analog design synthesis method using simulated annealing and particle swarm optimization
Proceedings of the 24th symposium on Integrated circuits and systems design
ITRS 2011 analog EDA challenges and approaches
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Analog Integrated Circuits and Signal Processing
Hi-index | 0.03 |
A hierarchical optimization methodology is presented to achieve robust analog/mixed-signal circuit design with consideration of process variations. Hierarchical optimization using building circuit block Pareto models is an efficient approach for optimizing nominal performances of large analog circuits. However, yield-aware system optimization, as dictated by the need for safeguarding chip manufacturability in scaled technologies, is completely nontrivial. Two fundamental difficulties are addressed for achieving such a methodology: yield-aware Pareto performance characterization at the building block level and yield-aware optimization problem formulation at the system level. In addition, postsilicon tuning in complex mixed-signal system designs is investigated and the proposed optimization framework is extended for such systems. The presented methodology is demonstrated by hierarchical optimization of a phased-locked loop consisting of multiple building blocks and self-tuning function blocks.