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Early-stage 3D IC design can now achieve accurate performance predictions by integrating thermal and cache effects into the layout optimization process.
AgenticPD redefines physical design optimization by enabling stage-aware decision-making, drastically cutting costs and improving timing results.
A$^{2}$utoLPBench offers an endless stream of dynamically generated LP problems, ensuring agents can be tested against fresh challenges without the risk of training data leakage.
