Yu-Xin Huang

DCSR-GCN: A High-Performance GCN Accelerator Based on Dynamic Compression and Sparsity Reordering

Graph Convolutional Networks (GCNs) are widely used in tasks involving irregular graph data, such as recommendation. The hybrid execution pattern of sparse aggregation and dense combination during inference limits the efficiency of general processors like CPU and GPU. Therefore, designing dedicated accelerators for GCN...