AI RESEARCH
A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
arXiv CS.LG
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ArXi:2604.18806v1 Announce Type: new 3D-IC netlist partitioning is commonly optimized using proxy objectives, while final PPA is treated as a costly evaluation rather than an optimization signal. This proxy-driven paradigm makes it difficult to reliably translate additional PPA evaluations into better PPA outcomes. To bridge this gap, we present DOPP (D-Optimal PPA-driven partitioning selection), an approach that bridges the gap between proxies and true PPA metrics.