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English(EN) AnalogScout: Simulation-Efficient PVT-Aware Analog Sizing with LLM Agents

LLM代理使用AnalogScout加速模拟芯片设计

研究人员开发了AnalogScout,一个旨在提高芯片设计中模拟器件尺寸优化效率的新框架。该框架利用大型语言模型(LLM)代理来指导尺寸优化过程,旨在降低跨不同工艺、电压和温度(PVT)角进行广泛仿真的计算成本。通过结合设计复用、解析尺寸优化和全角验证,AnalogScout显著减少了所需的仿真次数,与CMA-ES和贝叶斯优化等现有优化方法相比,能耗更低。 AI

影响 这种由LLM驱动的方法可以显著减少模拟电路设计所需的时间和计算资源,从而可能加速硬件开发周期。

排序理由 该集群包含一篇详细介绍模拟器件尺寸优化新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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LLM代理使用AnalogScout加速模拟芯片设计

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该集群包含一篇详细介绍模拟器件尺寸优化新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yichen Long, Keren Zhu ·

    AnalogScout:利用LLM代理实现模拟高效的PVT感知模拟尺寸调整

    arXiv:2610.37319v1 Announce Type: cross Abstract: Analog device sizing must satisfy all specifications across process, voltage, and temperature (PVT) corners to ensure tape-out success, but simulating every candidate at all corners dominates the sizing time and slows design itera…