Statistical Analysis Flow for Analog Design with Variation Manager

The impact of variation on analog design has become critical with the advanced nodes technology. The regular Monte Carlo approach for statistical analysis has reached its limit and can no longer address the needs for analog designers in terms of performance.

SILVACO’s Variation Manager includes specific statistical analysis for analog designers. It embeds innovative Monte Carlo boosters that allow fast analysis of analog cells or AMS/RF IC's. Being faster than Monte Carlo, Variation Manager will help designers to address variation issues within their time constraints.

What attendees will learn:

  • Statistical analysis flow for analog design
  • Monte Carlo in practice, how to be efficient and minimize risks?
  • Variation challenges in analog design


Dr. David Cartalade, Ph.D. Senior Applications Engineer David joined SILVACO in 2016 with EDXACT acquisition to support Front End tools. He has a strong background in RF Design and analog tools support such as spice, fast spice and RF simulators.

David holds a Ph.D in RF ASIC Design from Institut Polytechnique de Grenoble, France.