Chiplet Design Automation: Methodologies, Advances, and Directions

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Authors: F. Li, Ding Yuan, Jixiang Zhu, Xihao Liang, Juelei Zhou, Tian Miao, Hui Li, Kai Zhang, Yinhe Han, H. Li, Xiaowei Li, Ying Wang
+1 more Yujie Wang
Cited by: 2
References: 46

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 article 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 article 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.

Fields of Study & Subjects

VLSI and FPGA Design Techniques Low-power high-performance VLSI design Physical Unclonable Functions (PUFs) and Hardware Security

Publication details

Journal / source
ACM Transactions on Design Automation of Electronic Systems
Publisher
Association for Computing Machinery (ACM)
Volume
31
Issue
5
Pages
1–56
Publication date
11 February 2026
Language
EN