2 citations · 5 across the 5 of their papers we have counts for
5 papers
DarwinWafer: A Wafer-Scale Neuromorphic Chip
Xiaolei Zhu, Xiaofei Jin, Ziyang Kang +11
Neuromorphic computing promises brain-like efficiency, yet today's multi-chip systems scale over PCBs and incur orders-of-magnitude penalties in bandwidth, latency, and energy, und…
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…
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…
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…
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning
De Ma, Xiaofei Jin, Shichun Sun +8
Spiking Neural Networks (SNNs) are gaining increasing attention for their biological plausibility and potential for improved computational efficiency. To match the high spatial-tem…