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20242026
most citedThe Dawn of AI-Native EDA: Opportunities and Challenges of Large Circuit Models

21 citations · 24 across the 17 of their papers we have counts for

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Showing 2024 · cs.ARShow all

5 papers · 2 filters

cs.AR2024

AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models

Haoyi Zhang, Shizhao Sun, Yibo Lin +2

Analog circuits are crucial in modern electronic systems, and automating their design has attracted significant research interest. One of major challenges is topology synthesis, wh…

cs.AR2024

Theseus: Exploring Efficient Wafer-Scale Chip Design for Large Language Models

Jingchen Zhu, Chenhao Xue, Yiqi Chen +13

The emergence of the large language model~(LLM) poses an exponential growth of demand for computation throughput, memory capacity, and communication bandwidth. Such a demand growth…

cs.AR2024★ 3 cited

LayoutCopilot: An LLM-powered Multi-agent Collaborative Framework for Interactive Analog Layout Design

Bingyang Liu, Haoyi Zhang, Xiaohan Gao +5

Analog layout design heavily involves interactive processes between humans and design tools. Electronic Design Automation (EDA) tools for this task are usually designed to use scri…

cs.AR2024★ 21 cited

The Dawn of AI-Native EDA: Opportunities and Challenges of Large Circuit Models

Lei Chen, Yiqi Chen, Zhufei Chu +36

Within the Electronic Design Automation (EDA) domain, AI-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies.…

cs.AR2024

EasyACIM: An End-to-End Automated Analog CIM with Synthesizable Architecture and Agile Design Space Exploration

Haoyi Zhang, Jiahao Song, Xiaohan Gao +4

Analog Computing-in-Memory (ACIM) is an emerging architecture to perform efficient AI edge computing. However, current ACIM designs usually have unscalable topology and still heavi…