Presentation
CHIPAGENTS AI: AI Agent-Driven Timing Closure
DescriptionTiming closure remains one of the most iteration-heavy bottlenecks in chip design, spanning multiple teams and abstraction levels from RTL through signoff. Each iteration requires running tools that take hours to days, making the feedback loop between identifying a timing violation and validating a fix prohibitively slow. Extracting actionable signal from massive timing reports, mapping timing violations back to RTL, and choosing among fixes with complex PPA tradeoffs demand deep expertise and remain largely manual. We explore how AI agents can be applied to this problem: what domain-specific capabilities they need beyond general code generation and how an agent-driven "shift-left" strategy can reduce iteration count and accelerate convergence. We present ChipAgents' approach to timing closure along with the lessons we've learned along the way.
Event Type
Exhibitor Forum
TimeTuesday, July 281:45pm - 2:15pm PDT
LocationExhibitor Forum, Exhibit Floor