2 citations · 3 across the 11 of their papers we have counts for
11 papers
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…
ArtNet: Hierarchical Clustering-Based Artificial Netlist Generator for ML and DTCO Application
Andrew B. Kahng. Seokhyeong Kang, Seonghyeon Park, Dooseok Yoon
In advanced nodes, optimization of power, performance and area (PPA) has become highly complex and challenging. Machine learning (ML) and design-technology co-optimization (DTCO) p…
Recursive Learning-Based Virtual Buffering for Analytical Global Placement
Andrew B. Kahng, Yiting Liu, Zhiang Wang
Due to the skewed scaling of interconnect versus cell delay in modern technology nodes, placement with buffer porosity (i.e., cell density) awareness is essential for timing closur…
ChipletPart: Cost-Aware Partitioning for 2.5D Systems
Alexander Graening, Puneet Gupta, Andrew B. Kahng +2
Industry adoption of chiplets has been growing as chiplets are a cost-effective option for making large, high-performance systems. Consequently, partitioning large systems into chi…
ORFS-agent: Tool-Using Agents for Chip Design Optimization
Amur Ghose, Andrew B. Kahng, Sayak Kundu +1
Machine learning has been widely used to optimize complex engineering workflows across numerous domains. In integrated circuit design, modern flows (e.g., register-transfer level t…
DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators
Andrew B. Kahng, Zhiang Wang
Global placement is a fundamental step in VLSI physical design. The wide use of 2D processing element (PE) arrays in machine learning accelerators poses new challenges of scalabili…
NN-Steiner: A Mixed Neural-algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem
Andrew B. Kahng, Robert R. Nerem, Yusu Wang +1
Recent years have witnessed rapid advances in the use of neural networks to solve combinatorial optimization problems. Nevertheless, designing the "right" neural model that can eff…