CB-Sparse:A Cache-Friendly Data Aggregating Algorithm for Block-Based Sparse Matrix Multiplication on GPUs
Sparse matrix multiplications—including SpMV, SpMM, and SpGEMM—are fundamental to scientific computing, graph analytics, and machine learning. Despite extensive GPU-focused optimizations such as custom sparse formats and load balance, CSR-style and block-based methods can still underexploit fine-grained cache locality...