Chiplet Design Automation: Methodologies, Advances, and Directions

With the slowdown of Moore’s Law, conventional monolithic chip architectures face challenges such as excessive die sizes and prohibitive manufacturing costs. Consequently, chiplets have emerged as a pivotal technology in the post-Moore era, attracting significant attention from both academia and industry. Multi-chiplet systems offer compelling advantages over monolithic ones, including enhanced integration density, reduced cost, and shortened time-to-market. However, realizing these benefits necessitates design flows capable of optimizing parameters across logical, physical, and circuit layers, which introduces substantial design complexity. Numerous design automation technologies have been proposed to address these challenges. This paper provides a comprehensive overview of related advancements, categorizing chiplet design methodologies into two primary types: i) top-down flows disintegrating existing hardware designs into chiplets and subsequently reintegrating them into multi-chiplet systems, and ii) bottom-up flows combining existing chiplets into multi-chiplet systems based on user applications. This paper begins by introducing foundational concepts, technical characteristics, and evaluation models relevant to multi-chiplet systems. We then systematically summarize the problem formulations, design spaces, and optimization techniques associated with top-down and bottom-up design flows. Finally, we discuss key challenges and potential future research directions in chiplet design automation, aimed at further harnessing the potential of chiplet-based integration.

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Publication Details

Journal
ACM Transactions on Design Automation of Electronic Systems
Published
2026-02-11
DOI
https://doi.org/10.1145/3796529
Primary Topic
VLSI and FPGA Design Techniques
Type
article
Field-Weighted Citation Impact
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article

Chiplet Design Automation: Methodologies, Advances, and Directions

H. Li, F. Li, Ding Yuan, Jesse Zhu et al.
ACM Transactions on Design Automation of Electronic Systems
VLSI and FPGA Design Techniques
article

Chiplet Design Automation: Methodologies, Advances, and Directions

H. Li, F. Li, Ding Yuan, Jesse Zhu, Yujie Wang, Jin Zhou, Yinhe Han, Xihao Liang, Xiaowei Li, Tian Miao, Hui Li, Kai Zhang, Ying Wang
article en

Abstract

With the slowdown of Moore’s Law, conventional monolithic chip architectures face challenges such as excessive die sizes and prohibitive manufacturing costs. Consequently, chiplets have emerged as a pivotal technology in the post-Moore era, attracting significant attention from both academia and industry. Multi-chiplet systems offer compelling advantages over monolithic ones, including enhanced integration density, reduced cost, and shortened time-to-market. However, realizing these benefits necessitates design flows capable of optimizing parameters across logical, physical, and circuit layers, which introduces substantial design complexity. Numerous design automation technologies have been proposed to address these challenges. This paper provides a comprehensive overview of related advancements, categorizing chiplet design methodologies into two primary types: i) top-down flows disintegrating existing hardware designs into chiplets and subsequently reintegrating them into multi-chiplet systems, and ii) bottom-up flows combining existing chiplets into multi-chiplet systems based on user applications. This paper begins by introducing foundational concepts, technical characteristics, and evaluation models relevant to multi-chiplet systems. We then systematically summarize the problem formulations, design spaces, and optimization techniques associated with top-down and bottom-up design flows. Finally, we discuss key challenges and potential future research directions in chiplet design automation, aimed at further harnessing the potential of chiplet-based integration.

ACM Transactions on Design Automation of Electronic Systems
Institute of Computing Technology (CN), Inspur (China) (CN), University of Chinese Academy of Sciences (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
VLSI and FPGA Design Techniques
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