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LLM-Enhanced Framework Automates Analog Circuit Design

Researchers have developed PANDA, a new framework that uses large language models (LLMs) to automate the design of analog circuits. This system bridges high-level design intent with final layout generation by managing cross-stage dependencies, including topology synthesis, sizing, and layout. PANDA aims to significantly reduce design turnaround time from days to hours while simultaneously improving performance. AI

RANK_REASON The cluster describes a research paper detailing a new framework for analog circuit design. [lever_c_demoted from research: ic=1 ai=0.7]

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Haoyi Zhang, Weijian Fan, Xiaohan Gao, Bingyang Liu, Runsheng Wang, Yibo Lin ·

    PANDA: An LLM-Enhanced Performance-Driven Analog Design Framework Bridging Design Intent and Layout Generation

    arXiv:2606.15052v1 Announce Type: cross Abstract: Traditional design of analog circuits heavily relies on manual interventions across topology, sizing, and layout, with prior automation addressing stages in isolation. In this work, we propose PANDA, an LLM-enhanced framework that…