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Fu-Bing Mao

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Open access Oct 2026

ReHGNN: A Digital-Analog Processing-in-Memory Architecture for Sparse-Dense Matrix Multiplication in Hypergraph Neural Networks

ReHGNN is presented, the first hybrid digital/analog PIM architecture for HGNN inference, and a greedy heuristic algorithm is proposed to further improve the utilization of ReRAM resource.

Wei-Dong He, Hai-Kun Liu, Zhuo-Hui Duan et al. · 0 citations
#edge computing Open access Oct 2026

PGMiner: A Load-Aware Dynamic Graph Pattern Matching Approach on GPUs

A load-aware GPU-based dynamic graph pattern matching scheme is proposed to make full use of GPU computing resources and a task overhead prediction model is proposed to guide task allocation to alleviate the load imbalance between multiple GPU devices.

Yu Zhang, Yu-Luo Guo, Fu-Bing Mao et al. · 0 citations

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