Podcast EP221: The Importance of Design Robustness with Mayukh Bhattacharya
Dan is joined by Mayukh Bhattacharya, Engineering, Executive Director, at Synopsys. Mayukh has been with Synopsys since 2003. For the first 14 years, he made many technical contributions to PrimeSim XA. Currently, he leads R&D teams for PrimeSim Design Robustness and PrimeSim Custom Fault products. He was one of the early adopters of AI/ML in EDA. He led the development of a FastSPICE option tuner – Customizer – as a weekend hobby, which later became the inspiration behind the popular DSO.ai product. He has 11 granted (and 4 pending) patents, 7 journal papers, and 20 conference publications.
Dan explores the concept of design robustness with Mayukh. Design robustness is a measure of how sensitive a design is to variation – less sensitivity means a more robust design. For advanced nodes where there is significant potential for variation, design robustness becomes very important.
Mayukh explains the many dimensions of robustness, with a particular focus on memory design. He describes the methods required and how the Synopsys PrimeSim portfolio supports those methods. How AI fits into the process is also discussed, along with the benefits of finding problems early , the importance of adaptive flows and the overall impact on reliability.
The views, thoughts, and opinions expressed in these podcasts belong solely to the speaker, and not to the speaker’s employer, organization, committee or any other group or individual.
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