Compiling models to megakernels
Summary
Luminal Blog introduces megakernels: a compiler-driven approach to fuse an entire model's forward pass into a single GPU kernel to eliminate launch overhead, reduce wave quantization, and improve utilization. The post outlines the core concepts—interpreting GPU work as a queue of instructions, static vs dynamic scheduling, barriers, and a two-pass generation process using a graph-based compiler—and describes Luminal’s architecture for automatically generating megakernels and symbolic work queues from compute graphs.