Late Breaking Results: Warpage-Aware Generative Floorplanning for Reliable Advanced Packaging

This paper presents the first warpage-aware generative learningbased floorplanning algorithm to effectively model the warpage effect and optimize the die floorplan on a fixed outlined substrate. With more heterogeneous materials and dense interconnects in advanced packaging, warpage is a main reliability concern and may degrade system performance. We present a novel transformer-based encoding scheme to learn node and edge representations, followed by parallel decoding and warpage-aware legalization to jointly minimize die displacement and warpage. Experimental results show that our algorithm improves warpage by 9.9% and wirelength by 8.3% on average, compared with the state-of-the-art work.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/dac63849.2025.11132923
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.24
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article

Late Breaking Results: Warpage-Aware Generative Floorplanning for Reliable Advanced Packaging

Cheng-Yen Li, Yao‐Wen Chang, Min-Hung Chen, Tung-Chieh Chen et al.
1 citations
Manufacturing Process and Optimization
1.24
article

Late Breaking Results: Warpage-Aware Generative Floorplanning for Reliable Advanced Packaging

Cheng-Yen Li, Yao‐Wen Chang, Min-Hung Chen, Tung-Chieh Chen, Chenghao Su
article en
1 citations

Abstract

This paper presents the first warpage-aware generative learningbased floorplanning algorithm to effectively model the warpage effect and optimize the die floorplan on a fixed outlined substrate. With more heterogeneous materials and dense interconnects in advanced packaging, warpage is a main reliability concern and may degrade system performance. We present a novel transformer-based encoding scheme to learn node and edge representations, followed by parallel decoding and warpage-aware legalization to jointly minimize die displacement and warpage. Experimental results show that our algorithm improves warpage by 9.9% and wirelength by 8.3% on average, compared with the state-of-the-art work.

Synopsys (Switzerland) (CH), National Taiwan University of Science and Technology (TW), National Taiwan University (TW)
Openalex Percentile: Top 15%
Manufacturing Process and Optimization
1.24
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