5 citations · 9 across the 36 of their papers we have counts for
4 papers · 1 filter
ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction
Bin Sun, Jingyi Zhou, Jianan Mu +5
In traditional EDA flows, layout-level performance metrics are only obtainable after placement and routing, hindering global optimization at earlier stages. Although some neural-ne…
From Large to Small: Transferring CUDA Optimization Expertise via Reasoning Graph
Junfeng Gong, Zhiyi Wei, Junying Chen +2
Despite significant evolution of CUDA programming and domain-specific libraries, effectively utilizing GPUs with massively parallel engines remains difficult. Large language models…
Boolean-aware Boolean Circuit Classification: A Comprehensive Study on Graph Neural Network
Liwei Ni, Xinquan Li, Biwei Xie +1
Boolean circuit is a computational graph that consists of the dynamic directed graph structure and static functionality. The commonly used logic optimization and Boolean matching-b…
Fast Exact NPN Classification with Influence-aided Canonical Form
Yonghe Zhang, Liwei Ni, Jiaxi Zhang +3
NPN classification has many applications in the synthesis and verification of digital circuits. The canonical-form-based method is the most common approach, designing a canonical f…