most citedChiplet Placement Order Exploration Based on Learning to Rank with Graph Representation

2 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SP2024

Hierarchical Decoupling Capacitor Optimization for Power Distribution Network of 2.5D ICs with Co-Analysis of Frequency and Time Domains Based on Deep Reinforcement Learning

Yuanyuan Duan, Haiyang Feng, Zhiping Yu +3

With the growing need for higher memory bandwidth and computation density, 2.5D design, which involves integrating multiple chiplets onto an interposer, emerges as a promising solu…

cs.LG20242 cited

Chiplet Placement Order Exploration Based on Learning to Rank with Graph Representation

Zhihui Deng, Yuanyuan Duan, Leilai Shao +1

Chiplet-based systems, integrating various silicon dies manufactured at different integrated circuit technology nodes on a carrier interposer, have garnered significant attention i…

cs.ET2024

Late Breaking Results: Fast System Technology Co-Optimization Framework for Emerging Technology Based on Graph Neural Networks

Tianliang Ma, Guangxi Fan, Xuguang Sun +3

This paper proposes a fast system technology co-optimization (STCO) framework that optimizes power, performance, and area (PPA) for next-generation IC design, addressing the challe…

cs.LG20242 cited

RLPlanner: Reinforcement Learning based Floorplanning for Chiplets with Fast Thermal Analysis

Yuanyuan Duan, Xingchen Liu, Zhiping Yu +3

Chiplet-based systems have gained significant attention in recent years due to their low cost and competitive performance. As the complexity and compactness of a chiplet-based syst…

cs.LG2023

Fast Cell Library Characterization for Design Technology Co-Optimization Based on Graph Neural Networks

Tianliang Ma, Guangxi Fan, Zhihui Deng +3

Design technology co-optimization (DTCO) plays a critical role in achieving optimal power, performance, and area (PPA) for advanced semiconductor process development. Cell library…