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Mar, 2024
DE-HNN:电路网表表示的有效神经模型
DE-HNN: An effective neural model for Circuit Netlist representation
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Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michael Defferrard...
TL;DR
设计工具的运行时间随着芯片设计的复杂性增加而增长,这已成为一个瓶颈。我们提出了一种将网络列表表示为有向超图,并提出了一种用于有效学习(有向)超图的模型,与现有的图学习框架相比,DE-HNN显著提高了设计优化工具的精确度。
Abstract
The run-time for
optimization tools
used in
chip design
has grown with the complexity of designs to the point where it can take several days to go through one design cycle which has become a bottleneck. Designers
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