Tariq Habib Afridi

GPU-Accelerated Sparse Matrix-Dense Matrix Multiplication for Graph Neural Networks: A Comprehensive Survey

It is found that no single kernel dominates across all graph structures and that effective Tensor Core utilization reaches only 5–20% on irregular GNN matrices, while graph reordering is broadly beneficial, yielding gains of up to $43\times $ when it enables Sparse Tensor Core execution.