white paper
Improving library characterization with machine learning
This whitepaper describes innovative new approaches to accomplish fast and accurate library characterization and validation through mathematical modelling and machine learning. These methods accelerate characterization significantly, resulting in runtime speedup for production-accurate, full library characterization across all process, voltage, and temperatures (PVT), as well as almost-instant generation of additional PVTs.