AlphaCu: A Transformation-Driven Synthesis Framework for LLM-Based GPU Kernel Generation
Large language models show promise for code generation, yet their effectiveness in producing high-performance GPU kernels remains insufficiently understood. Recent agentic workflows improve over direct prompting through specialized generation roles and execution feedback, but our characterization of a representative wo...