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LevelSyn: Physical-Aware Logic Synthesis via Level-Asynchronous Graph Neural Networks
As integrated circuit technology scales into the nanometer regime, the traditional disconnect between logic synthesis and physical design has led to significant PPA (Power, Performance, and Area) degradation and prolonged design closure cycles. Traditional logic synthesis relies on non-physical Wire Load Models (WLMs), while recent spectral-based placement predictors often neglect the inherent hierarchical logic depth and signal flow of netlists, which leads to low-fidelity spatial estimations. To bridge this gap, we propose LevelSyn, a novel physical-aware logic synthesis framework that integ
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T09:46:02.000Z
First collected: 2026-09-21T04:51:57.792Z. This is not the publication date.