A new technical paper titled “PPAC Driven Multi-die and Multi-technology Floorplanning” was published by Texas A&M University and Duke University.
Abstract
“In heterogeneous integration, where different dies may utilize distinct technologies, floorplanning across multiple dies inherently requires simultaneous technology selection. This work presents the first systematic study of multi-die and multi-technology floorplanning. Unlike many conventional approaches, which are primarily driven by area and wirelength, this study additionally considers performance, power, and cost, highlighting the impact of technology selection. A simulated annealing method and a reinforcement learning techniques are developed. Experimental results show that the proposed techniques significantly outperform a naive baseline approach.”
Find the technical paper here. February 2025.
Roman-Vicharra, Cristhian, Yiran Chen, and Jiang Hu. “PPAC Driven Multi-die and Multi-technology Floorplanning.” arXiv preprint arXiv:2502.10932 (2025).
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