A new press release reports, “Cadence Design Systems, Inc. today announced the Cadence® Liberate™ Trio Characterization Suite, the industry’s first unified library characterization tool that runs both statistical and nominal characterization in parallel and provides complete validation of standard cell libraries. Employing advanced machine learning techniques, this tool uses smart interpolation to help determine the critical corners that need to be characterized. By making characterization processes thoroughly distributed and massively parallel, it has been fully optimized for running on cloud-based servers. In addition, the Liberate Trio suite offers up to 3X performance increase by running corners in parallel and natively running statistical and nominal characterization together.”

The release goes on, “The machine learning algorithms in the Liberate Trio suite help guide the designer, predicting critical corners and helping designers decide what corners need to be characterized. The tool uses smart interpolation, not just linear interpolation, to ensure accuracy. ‘The creation of accurate timing, power and noise models for advanced-node libraries is becoming increasingly complex,’ said Vinod Kariat, corporate vice president of research and development at Cadence. ‘The Liberate Trio Characterization Suite simplifies library characterization by enabling characterization across multiple corners and natively integrating nominal and variation in the same run. This significantly improves turnaround time and ease of use’.”

Read more at Business Wire.

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