Hang Zeng

Dual-Metric Partitioning with Adaptive Kernel Execution for Efficient GCN Acceleration

Graph Convolutional Networks (GCNs) are widely used for large graph-structured data, including social, citation, and e-commerce networks, but their deployment is constrained by irregular memory access and severe GPU workload imbalance. These challenges arise in two dimensions: width imbalance from power-law degree dist...