CDC/RDC Assist: Leveraging Machine Learning for CDC/RDC Violation Detection and Optimization
Overview
Join us at this free Expert Series Webinar for an in-depth exploration of how CDC/RDC Assist uses machine learning to identify the root causes of CDC/RDC violations, detect patterns in your design, and provide actionable recommendations that will optimize your setup and reduce unsynchronized crossings for more efficient and accurate analysis.
One of the biggest challenges in CDC/RDC verification is managing the complexity and time-consuming nature of identifying and resolving violations. CDC/RDC Assist addresses this challenge by leveraging machine learning to automate and accelerate causality analysis. By learning from previous design results, it prioritizes high-impact violations, filters out false positives, and isolates common issues, reducing redundant efforts. This innovative tool boosts designer productivity, minimizes unsynchronized crossings, and enables faster CDC/RDC verification closure, leading to more efficient and accurate results.
What You Will Learn:
- Streamline CDC/RDC verification using machine learning to automate violation detection and resolution.
- Prioritize high-impact violations and eliminate false positives for faster, more accurate analysis.
- Improve productivity by reducing redundant efforts and accelerating the closure of CDC verification.
Who Should Attend:
- This webinar is ideal for design engineers, verification engineers, and managers involved in CDC/RDC verification, as well as anyone looking to enhance their design flow and improve productivity through advanced machine learning techniques. If you’re seeking faster, more accurate verification results and a more efficient workflow, this session is for you.
Products Covered:
- Questa CDC/RDC
- Questa OneSpin Static Formal
Details
What
Customer Technical Webcast: CDC/RDC Assist: Leveraging Machine Learning for CDC/RDC Violation Detection and Optimization
When
Wednesday, April 23, 2025
Where
Online
Time
17:00 hr CET
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