Active Learning for Fast, Comprehensive SPICE Verification

The scope of SPICE-level verification has increased massively with new requirements for safety-critical applications, statistical timing characterization, wider FinFET voltage domains, and tighter product margins. We now have many more PVT corners to verify against, and many types of IP need to be verified to high sigma, requiring millions or billions of Monte Carlo samples. Simulation budgets have ballooned and brute-force simulation methods no longer deliver the coverage required within production runtime constraints.

For the past 14 years, Solido has been using active learning technologies to accelerate SPICE verification by 10X to 1MX, while maintaining SPICE-level accuracy. This talk reviews Solido's active learning techniques used within tools. It provides a deeper dive into the all-new High-Sigma Verifier technology, as well as provides production usage updates from Characterization Suite Analytics and Generator.

What you will learn:

You will become familiar with the methods Solido has used to improve
speed, accuracy, and coverage of SPICE batches by orders of magnitude.
You will understand where they apply, how they work, and why they
work. You will learn how Solido products can speed up your PVT, Monte
Carlo, and characterization by orders of magnitude.