2 citations · 3 across the 11 of their papers we have counts for
5 papers · 1 filter
MAGE: Human-Like Macro Placement via Agentic Multimodal Reasoning
Andrew B. Kahng, Sayak Kundu, Bodhisatta Pramanik
Macro placement still requires substantial manual refinement in industrial physical design flows. We present MAGE (Macro Placement Agentic Engine), a multimodal multi-agent framewo…
Escaping Flatland: A Placement Flow for Enabling 3D FPGAs
Cong Hao, Andrew B. Kahng, Bodhisatta Pramanik +1
3D field-programmable gate arrays (FPGAs) promise higher performance through vertical integration. However, existing placement tools, largely inherited from 2D frameworks, fail to…
An Extended Study of Gear-Ratio-Aware Standard Cell Layout Generation for DTCO Exploration
Chung-Kuan Cheng, Andrew B. Kahng, Bill Lin +2
Advanced nodes decouple contacted poly pitch (CPP) and lower-metal pitch to improve routability. We present CPCell, an efficient standard-cell layout generation framework, to suppo…
Automated QoR improvement in OpenROAD with coding agents
Amur Ghose, Junyeong Jang, Andrew B. Kahng +1
EDA development and innovation has been constrained by scarcity of expert engineering resources. While leading LLMs have demonstrated excellent performance in coding and scientific…
Invited: Toward Sustainable and Transparent Benchmarking for Academic Physical Design Research
Liwen Jiang, Andrew B. Kahng, Zhiang Wang +1
This paper presents RosettaStone 2.0, an open benchmark translation and evaluation framework built on OpenROAD-Research. RosettaStone 2.0 provides complete RTL-to-GDS reference flo…