Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels
We present Nautilus, a novel tensor compiler that moves toward fully automated math-to-kernel optimization. Nautilus compiles a high-level algebraic specification of tensor operators into efficient tiled GPU kernels. Nautilus's successive lowering design allows high-level optimizations, expression rewrites, and tile optimizations to be jointly applied in a single end-to-end system. Nautilus presents a novel auto-scheduler that discovers sequences of high-level optimizations, while preserving the regular program structure needed by tile optimizers. Nautilus's auto-scheduler captures complex interactions and trade-offs in the high-level optimizations, including aggressive global transformat...
| Authors | Yifan Zhao, Yuchen Yang, Matei Budiu et al. |
|---|---|
| Primary category | cs.PL |
| Published | 16 April 2026 |
| Last updated at source | 16 April 2026 |
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