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LLM-guided system optimizes chip design timing and power

By PulseAugur Editorial · [1 sources] ·

A new research paper introduces TAPCO-G, a system that uses Large Language Models (LLMs) to guide the optimization of timing and power in chip design. Unlike traditional optimizers with fixed rules, TAPCO-G allows an LLM to adapt these rules based on design-specific feedback. The system combines LLM-guided adaptation with graph-based physical priors to evaluate potential cell replacements, improving both timing and power efficiency. In tests, TAPCO-G outperformed existing methods, including CERBERUS and TAPCO, on the MLCAD 2026 Contest benchmarks. AI

IMPACT This LLM-guided approach could accelerate chip design cycles and improve hardware efficiency.

RANK_REASON Research paper detailing a new method for chip design optimization. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM-guided system optimizes chip design timing and power

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Research paper detailing a new method for chip design optimization. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Wuqian Tang, Zixiao Wang, Che-Chien Lin, Fong-Hua Fu, Laura Ang\'elica Shion-Korsak, Xinyun Zhang, Bei Yu, Chun-Yao Wang ·

    TAPCO-G: LLM-Guided Design-Adaptive Timing and Power Co-Optimization with Graph-Based Physical Priors

    arXiv:2611.13931v1 Announce Type: cross Abstract: Post-placement timing and power co-optimization is critical to meeting setup timing targets and reducing power within placement constraints. A cell replacement can improve timing along one path while increasing power or reducing s…

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