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Euclidean combinatorial optimization problems (ECOPs), such as the Traveling Salesman Problem (TSP) and Capacitated Vehicle Routing Problem (CVRP), possess inherent symmetries under the two-dimensional Euclidean group E(2), including rotations, reflections, and translations. Existing learning-based methods, including r...
Macro placement significantly affects a chip's post-route performance, power, and area (PPA). Most placement methods optimize half-perimeter wirelength (HPWL) as the primary objective. However, recent benchmarking shows a near-zero correlation between HPWL and post-route timing metrics such as the worst negative slack...
CoEvoP&R addresses limitations with a large language model (LLM)-based framework that automatically evolves analytical placement objectives and reduces post-route routed wirelength and congestion across eight ChiP-Bench Nangate45 designs and three seeds.
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