Presentation
An AI-Enhanced Web-Based Real-Time Analytics & Prediction Platform for ASIC Physical Design (PD) Flows
DescriptionAn AI-enhanced real-time analytics and prediction platform designed to bring comprehensive intelligence to complex ASIC Physical Design (PD) flows. This tool automatically captures PD runs, parses massive volumes of logs and reports, and unifies timing, congestion, CTS, IR/EM, DRC/LVS, runtime, and resource metrics into centralized dashboards. By integrating AI-driven pre-run prediction, runtime anomaly detection, and post-run learning, the platform enables early identification of QoR regressions, resource bottlenecks, and failure risks before costly iterations are executed. The solution transforms PD workflows from reactive debugging to proactive, data-driven optimization, significantly reducing manual effort, improving resource utilization, accelerating convergence, and enhancing confidence in physical design closure.
Event Type
Engineering Poster
TimeTuesday, July 285:00pm - 6:00pm PDT
LocationDAC Pavilion, Exhibit Floor
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