3 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
TransPlace: Transferable Circuit Global Placement via Graph Neural Network
Yunbo Hou, Haoran Ye, Shuwen Yang +3
Global placement, a critical step in designing the physical layout of computer chips, is essential to optimize chip performance. Prior global placement methods optimize each circui…
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
Faezeh Faez, Raika Karimi, Yingxue Zhang +4
Electronic Design Automation (EDA) is essential for IC design and has recently benefited from AI-based techniques to improve efficiency. Logic synthesis, a key EDA stage, transform…
RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network
Yunbo Hou, Haoran Ye, Yingxue Zhang +2
Placement is a critical and challenging step of modern chip design, with routability being an essential indicator of placement quality. Current routability-oriented placers typical…
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
Zhanguang Zhang, Didier Chetelat, Joseph Cotnareanu +7
Boolean satisfiability (SAT) problems are routinely solved by SAT solvers in real-life applications, yet solving time can vary drastically between solvers for the same instance. Th…