8 citations · 18 across the 10 of their papers we have counts for
Showing 2022 · cs.LGShow all
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cs.LG2022
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
Zhuomin Chai, Yuxiang Zhao, Yibo Lin +3
The electronic design automation (EDA) community has been actively exploring machine learning (ML) for very large-scale integrated computer-aided design (VLSI CAD). Many studies ex…
cs.LG2022★ 8 cited
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction
Bowen Wang, Guibao Shen, Dong Li +7
Precise congestion prediction from a placement solution plays a crucial role in circuit placement. This work proposes the lattice hypergraph (LH-graph), a novel graph formulation f…
cs.LG2022★ 6 cited
Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview
Junchi Yan, Xianglong Lyu, Ruoyu Cheng +1
Placement and routing are two indispensable and challenging (NP-hard) tasks in modern chip design flows. Compared with traditional solvers using heuristics or expert-well-designed…