FlexVector: A SpMM Vector Processor with Flexible VRF for GCNs on Varying-Sparsity Graphs

Bohan Li, Shengmin Li, Xinyu Shi +3

Graph Convolutional Networks (GCNs) are widely adopted for tasks involving relational or graph-structured data and can be formulated as two-stage sparse-dense matrix multiplication…