Using machine learning methods in production-ready engineering solutions for IC verification
Utilizing ML to produce consistent, verifiable, and correct answers for SPICE-level IC verification
Solido machine learning: Toward level 4 ML capability
Solido™ software from Siemens EDA has developed ML tools that are near level 4 ML capability.
In Solido tools, the first step is to perform an initial design of experiments (DoE). This is a sparse set of measurements that cover the entirety of the results space.
Building on the results of the DoE, the tool can construct a first-order ML model of the expected results space. Target areas of interest are identified where more model accuracy may be required. The tool then produces more results and compares them against ML generated results. If the results do not match within engineering tolerances, the tool optimizes further with additional data and updated models.
This process allows Solido tools to obtain a broad view of the results, with added granularity for fine-tuned results at areas of interest as well as built-in verification.