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【RTL-CLAW】An AI-Agent-Driven Framework for Automated IC Design Flow

【RTL-CLAW】An AI-Agent-Driven Framework for Automated IC Design Flow

RTL-CLAW: An AI-Agent-Driven Framework for Automated IC Design FlowA collaborative project between Tongji EDA Laband The Chinese University of Hong Kong (CUHK)Project Leader:Yuyang Ye (lab@tongjieda.cn)RTL-CLAW is an open-source, research-oriented EDA toolchain built on top of the OpenClaw framework...

发布于 2026-03-27

【ICCC2024】石函玉|基于改进模式匹配方法的VLSI寄生电容提取

【ICCC2024】石函玉|基于改进模式匹配方法的VLSI寄生电容提取

本研究提出了一种基于改进机器学习方法的VLSI寄生电容提取技术,核心在于构建新型模式分割与组合策略,并建立适配的模式库。作者针对传统基于规则的提取方法在深纳米工艺下面临的精度瓶颈,创新性地引入K近邻算法与卷积神经网络两类模型进行对比分析。在KNN模型中,通过模糊距离预处理与KD树存储机制优化特征维度权重,显著...

发布于 2024-10-31