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The Chip Optimizer Learns the Physical Consequence

TAPCO-G combines language-model policy changes with graph priors for timing and power repairs.

Published Updated Story ID: mp-2026-11-12-016
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Summary

TAPCO-G combines language-model policy changes with graph priors for timing and power repairs.

TAPCO-G uses physical-design feedback to revise optimizer settings and executable repair policies, while graph-based priors estimate how cell replacements change endpoint slack and power. The authors report legal, logic-equivalent layouts and higher scores than compared systems on all eight stated ASAP7 benchmarks.

Why it matters

TAPCO-G combines language-model policy changes with graph priors for timing and power repairs.

Limits and context

No additional limitation was separately recorded.

Key claims

  1. TAPCO-G combines language-model policy changes with graph priors for timing and power repairs.

    Evidence: source-2026-11-12-018

Sources

  1. arXiv:2611.13931v1arXiv / Cornell University · primary research

Corrections

No corrections have been recorded for this story.