Presentation
Timing Visualizer AI Assistant: A Novel Machine Learning Application for Efficient Timing Triage
DescriptionIn this engineering track submission, we present a groundbreaking application of machine learning in the realm of timing triage. Our novel approach leverages the power of artificial intelligence to enable designers to perform what-if analysis and efficiently predict the outcome of design and logic changes on timing slack.
Our system learns from a vast corpus of data collected through the ingestion of multiple Terabytes of project data into the timing visualizer tool. This enables the AI assistant to provide accurate and reliable predictions, allowing designers to make informed decisions and optimize their designs for optimal performance.
With Timing Visualizer AI Assistant, designers can quickly and easily explore different design scenarios, identify potential timing issues, and optimize their designs for optimal performance. This results in faster time-to-market, reduced costs, and improved product quality.
We demonstrate the effectiveness of our approach through a series of case studies and experiments, showing significant improvements in timing prediction accuracy and design optimization. Our novel application of machine learning in timing triage has the potential to revolutionize the field of design automation and transform the way designers work.
Our system learns from a vast corpus of data collected through the ingestion of multiple Terabytes of project data into the timing visualizer tool. This enables the AI assistant to provide accurate and reliable predictions, allowing designers to make informed decisions and optimize their designs for optimal performance.
With Timing Visualizer AI Assistant, designers can quickly and easily explore different design scenarios, identify potential timing issues, and optimize their designs for optimal performance. This results in faster time-to-market, reduced costs, and improved product quality.
We demonstrate the effectiveness of our approach through a series of case studies and experiments, showing significant improvements in timing prediction accuracy and design optimization. Our novel application of machine learning in timing triage has the potential to revolutionize the field of design automation and transform the way designers work.
Event Type
Engineering Poster
TimeTuesday, June 245:00pm - 6:00pm PDT
LocationEngineering Posters, Level 2 Exhibit Hall