Supercharge your CDC & RDC Analysis with The Power of AI/ML
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 AI/ML to automate and accelerate causality analysis. In this webinar, you will learn how to streamline CDC/RDC verification using machine learning to automate violation detection and resolution.
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Session Registration
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Session Overview
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 AI/ML 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
