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Webinar: Questa RDC Assist – Improving designer productivity and enabling faster RDC verification closure with machine learning

May 22 @ 8:00 AM - 9:00 AM

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In 2021 Siemens EDA released CDC Assist.  CDC Assist is an ML powered feature that empowers users to configure, debug, and close CDC on designs more rapidly. Following the success of CDC Assist, Siemens introduced RDC Assist in 2023.

Using the same ML technology in CDC Assist, RDC Assist dramatically improves the time and effort required to configure, debug, and close reset domain crossing analysis

Since RDC violations often have a common cause, RDC Assist helps users to identify the root cause for the RDC violations and errors through data mining and machine learning techniques.

We will discuss use models and best practices to utilize RDC Assist, and walk through a demo showing its power.

What You Will Learn: 

  • How RDC Assist helps users expedite their RDC Analysis
  • How to run RDC Assist
  • How to analyze RDC Assist results in the UI
  • How to use RDC Assist to focus on major hotspots first
  • Techniques presented are applicable to both CDC and RDC analysis

Who Should Attend: 

  • RTL designers, anyone that runs CDC or RDC, design team leads

What/Which Products are Covered:  

  • Questa RDC


Farhad Ahmed

Farhad Ahmed

Principal Product Engineer, Siemens EDA

Farhad Ahmed currently is a Principal Product Engineer at Siemens EDA Software.​

He has been working in Chip Design and EDA companies for last 30+ years. He graduated with a B.Sc.(EE) degree from Bangladesh University of Engg. & Technology and a M.Sc.(EE) from Washington State University.​

He started his career as an RTL Logic Designer for Sun Microsystems working on SPARC microprocessors.​

Farhad loves to read books on history, an avid swimmer, Squash player, does hiking regularly and also loves kayaking.​


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