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English(EN) SwiftCTS: Fast Cross-Design Prediction and Pareto Optimization of Clock Tree Metrics via Few-Shot Calibration

SwiftCTS框架加速芯片设计优化

研究人员开发了SwiftCTS,一个用于优化芯片设计中时钟树综合的新框架。该系统使用物理信息代理模型和梯度增强集成来实现功率、布线长度和时序偏斜指标的快速预测和帕累托优化。SwiftCTS能够通过最少的校准适应新的芯片架构,显著减少预测误差,并能在几秒钟内评估数千种配置。 AI

影响 通过为时钟树综合提供快速、准确的预测,加速芯片设计周期。

排序理由 该集群包含一篇详细介绍芯片设计优化新框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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SwiftCTS框架加速芯片设计优化

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该集群包含一篇详细介绍芯片设计优化新框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Barsat Khadka, Kawsher Roxy, Md Rubel Ahmed ·

    SwiftCTS: 通过少样本校准实现时钟树指标的快速跨设计预测和帕累托优化

    arXiv:2606.11348v1 Announce Type: new Abstract: Clock Tree Synthesis (CTS) is a computationally expensive stage in the physical design flow, requiring iterative EDA tool invocations to navigate a vast configuration space for optimal power, wirelength, and timing skew. Existing ma…