ChipletPart: Cost-Aware Partitioning for 2.5D Systems Article Swipe

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Alexander Graening , Puneet Gupta , Andrew B. Kahng , Bodhisatta Pramanik ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2507.19819

Industry adoption of chiplets has been increasing as a cost-effective option for making larger high-performance systems. Consequently, partitioning large systems into chiplets is increasingly important. In this work, we introduce ChipletPart - a cost-driven 2.5D system partitioner that addresses the unique constraints of chiplet systems, including complex objective functions, limited reach of inter-chiplet I/O transceivers, and the assignment of heterogeneous manufacturing technologies to different chiplets. ChipletPart integrates a sophisticated chiplet cost model with its underlying genetic algorithm-based technology assignment and partitioning methodology, along with a simulated annealing-based chiplet floorplanner. Our results show that: (i) ChipletPart reduces chiplet cost by up to 58% (20% geometric mean) compared to state-of-the-art min-cut partitioners, which often yield floorplan-infeasible solutions; (ii) ChipletPart generates partitions with up to 47% (6% geometric mean) lower cost as compared to the prior work Floorplet; and (iii) for the testcases we study, heterogeneous integration reduces cost by up to 43% (15% geometric mean) compared to homogeneous implementations. Additionally, we explore Bayesian optimization (BO) for finding low cost and floorplan-feasible chiplet solutions with technology assignments. On some testcases, our BO framework achieves better system cost (up to 5.3% improvement) with higher runtime overhead (up to 4x) compared to our GA framework. We also present case studies that show how changes in packaging and inter-chiplet signaling technologies can affect partitioning solutions. Finally, we make ChipletPart, the underlying chiplet cost model, and a chiplet testcase generator available as open-source tools for the community.

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2507.19819
PDF: https://arxiv.org/pdf/2507.19819
OA Status: green
OpenAlex ID: https://openalex.org/W4416174531

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OpenAlex ID: https://openalex.org/W4416174531

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DOI: https://doi.org/10.48550/arxiv.2507.19819

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Title: ChipletPart: Cost-Aware Partitioning for 2.5D Systems

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-07-26

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Authors: Alexander Graening, Puneet Gupta, Andrew B. Kahng, Bodhisatta Pramanik

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Landing page: https://arxiv.org/abs/2507.19819

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PDF URL: https://arxiv.org/pdf/2507.19819

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Open access: Yes

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OA status: green

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Cited by: 0

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