Demystifying SpMV Performance: Bottleneck Characterization and Open Challenges
Sparse Matrix-Vector Multiplication (SpMV) is a critical computational kernel in scientific computing, graph processing, and machine learning. Despite its importance, SpMV achieves only a small fraction of peak performance, varying substantially across matrices and architectures. This paper comprehensively analyzes SpM...