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cs.LG2024
GOALPlace: Begin with the End in Mind
Anthony Agnesina, Rongjian Liang, Geraldo Pradipta +2
Co-optimizing placement with congestion is integral to achieving high-quality designs. This paper presents GOALPlace, a new learning-based general approach to improving placement c…
cs.LG2024
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
Haoyu Yang, Anthony Agnesina, Haoxing Ren
Exploding predictive AI has enabled fast yet effective evaluation and decision-making in modern chip physical design flows. State-of-the-art frameworks typically include the object…