SparseDitto: Customizing GPU Kernels for Different Sparsity Patterns with LLM-Based Agentic System
By Shiyang Li · Paper · cs.DC
Sparse matrix kernels are fundamental to scientific computing, graph analytics, and machine learning. Their GPU performance depends strongly on the input sparsity pattern and execution strategy. For the same SpMM on the same matrix, cuSPARSE exhibits a 350x performance gap betwee