2 citations · 3 across the 11 of their papers we have counts for
4 papers · 1 filter
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…